Data Scientist

LI-Hybrid Essential Functions:
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Coordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative

• Training and Development - train junior business analyst.

Share best practices and develop career progression for fellow Analyst.

Secondary Functions:

• Provide business information, analysis together with supporting data.

• Facilitate and help teams to create process maps, evaluate process "as is" state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.

• Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.

• Lead automation of data flows & analysis.

• Share identified best practices across all relevant functions

• Communicate effectively with influence, and gain support from all levels of the organization on large scale business process changes.

• Participate on process audits and help institute process metrics to assess current process health of complex business processes.

Relationship management:

• Strong relationship needed with business, developers and system owners, to be able to navigate data form different platforms to provide optimum results

Qualifications

Education:

• Candidates should hold a technical engineering or computer science degree or statistics or business math.

Possessing or pursuing MBA or other relevant professional certification is a plus.

Working Experience:

§ Candidates should possess 3 years analytics experience and be well familiarized with the project lifecycle concepts.

Must have extensive relevant experience in building systemic solutions.

§ Must have extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.

Business Understanding:

• Is responsible for creating AI/ML (Artificial Intelligence / Machine Learning) models and solving complex problems.

Others (e.g.

language skills, technical skills):

KNOWLEDGE AND SKILLS 1-REQUIRED:

§ Experience using...