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Notre mission est de permettre aux avocats, notaires et autres professionnels du droit de maîtriser parfaitement leur pratique tout en améliorant leur performance opérationnelle et leur rentabilité.
Pour atteindre ces objectifs, nous recherchons des individus talentueux et passionnés, désireux de collaborer, de résoudre des problèmes complexes et d’avoir un impact significatif et durable sur les différents produits de Juris Concept.
Responsabilités principales
* Superviser, coacher et inspirer une équipe de spécialistes QA, en étant un point de contact clé entre les TI, le développement et l’assurance qualité.
* Assurer la planification, l’assignation des tâches et le suivi des livrables QA dans un environnement Agile/Scrum.
* Piloter et optimiser les stratégies de tests (fonctionnels, exploratoires et automatisés) pour garantir la qualité des solutions logicielles.
* Contribuer activement à la réalisation de tests manuels et participer directement à l’élaboration, l’implantation et au maintien des suites de tests automatisés.
* Encourager l’amélioration continue des méthodes de travail QA et participer à la résolution proactive de problématiques qualité.
* Être responsable de l’implémentation et de l’évolution des frameworks et outils d’automatisation de tests tout en contribuant au transfert de connaissances au sein de l’équipe.
* Collaborer activement avec les Product Owners, développeurs et parties prenantes afin d’assurer la livraison des logiciels selon les besoins métiers et réglementaires.
* Contribuer à la sélection des outils, à la gestion des environnements de test, et à la mitigation des risques liés à la qualité logicielle.
Profil recherché
* 7 ans + d’expérience en assurance qualité logicielle, incluant un minimum de 3 ans avec des responsabilités de gestion ou de lead d’équipe.
* Expérience significative en test automatisé et frameworks associés.
* Maîtrise des techniques de test manuel et automatisé et volonté de contribuer activement dans les deux volets.
* Aisance avec les pratiques et outils Agile.
* Leadership démontré, excellentes compétences en organisation, en communication et en résolution de problèmes.
* Aptitude à motiver, développer et faire grandir une équipe.
* Expérience dans le secteur juridique ou comptable (atout considérable).
* Une bonne maîtrise du français et de l’anglais est requise car le titulaire du poste aura à communiquer fréquemment dans les deux langues, tant oralement que par écrit.
Nous avons des collègues, des clients et des partenaires au Québec, ainsi que dans le reste du Canada et aux États-Unis.
Qualifications
* Diplôme en informatique, génie logiciel ou tout domaine connexe (expérience pertinente prise en compte).
* Solide expertise dans la gestion de projets ou d’équipes QA, ainsi qu’avec l?...
....Read more...
Type: Permanent Location: Quebec City, CA-QC
Salary / Rate: 80000
Posted: 2026-03-28 08:27:37
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Serve as a buyer of a discrete, smaller category with ultimate sign-off from the category manager (CM).
Own category management responsibilities for part of merchandise category.
Assist category managers with the tactical work in building assortments, managing KOMPASS process, executing pricing/promotions, and gathering/analyzing data.
Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion, and safety.From one tiny Cincinnati grocery store more than a century ago, we've grown into what today is the nation's largest grocer with nearly 2,800 stores in 35 states operating under 28 different names.
As America's grocer, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit.
With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all.
Here, people matter.
That's why we strive to provide the ingredients you need to create your own recipe for success at work and in life.
We help feed your future by providing the value and care you need to grow.
If you're caring, purpose-driven and hungry to learn, your potential is unlimited.
Whether you're seeking a part-time position or a new career path, we've got a fresh opportunity for you.
Apply today to become part of our Kroger family!
What you'll receive from us:
The Kroger Family of Companies offers comprehensive benefits to support your Associate Well-Being, including Physical, Emotional, Financial and more.
We'll help you thrive, with access to:
* A wide range of healthcare coverage, including affordable, comprehensive medical, dental, vision and prescription coverage, through company plans or collective bargaining agreement plans.
* Flexible scheduling in full- and part-time roles with paid time off, including holiday and sick pay based on eligibility and length of service.
* Emotional and financial support with free counseling through our Employee Assistance Program and free, confidential financial tools and coaching with Goldman Sachs Ayco.
* Valuable associate discounts on purchases, including food, travel, technology and so much more.
* Up to $21,000 in tuition reimbursement over your career, through our industry-leading Continuing Education program.
* Vast potential for growth, through an abundance of industry-leading training programs and diverse career pathways.
For more information about benefits and eligibility, please visit our Benefits Page ! Minimum
- 2+ years of experience with replenishment buying/procurement, merchandising, store assistant leader, operations or brand management
- Excellent oral/written communication skills
- Intermediate knowledge of Excel, Word and Outlook
- Strong attention to detail
Desired
- Bachelor's Degree
- Any replenishment buying/procurement experience
- Any division store management experience
- Any exposure to Kroge...
....Read more...
Type: Permanent Location: Cincinnati, US-OH
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:36
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:35
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:35
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:34
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:33
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:33
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:32
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:31
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:31
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:30
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:29
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:29
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:28
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:27
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:27
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:26
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:26
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:25
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:24
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:24
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:23
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:22
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:22
-
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries.
Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g.
Python, R, etc.).
- Experience with AI / Machine Learning.
- Experience working as a contributor on a team.
- Experience leading AI/DS/or Analytics teams.
- Experience mentoring Junior Staff.
- Experience with program management.
Preferred Skills and Qualifications:
- Master's in quantitative discipline (Math, Operations Research, Computer Science, etc...
....Read more...
Type: Permanent Location: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-03-28 08:27:21
