Principal Data Scientist

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 Minimum Requirements:

- Develop, collaborate, and advance the applied and responsible use of AI, ML 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.

- Contribute to the development of mathematically rigorous process improvement procedures.

- 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:

- 10+ years of relevant Software Development + AI / ML / DS experience.

- Professional Programming experience (e.g.

Python, R, etc.).

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming.

- Experience with Linux.

- Experience with Statistics.

- Experience with Classical Machine Learning.

- Experience working as a contributor on a team.

Preferred Skills and Qualifications:

- Mast...