Data Science Manager

Data Science Managers (DSMs) design, develop, and execute analytic techniques on large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions, and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.

What You'll Do

• Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.
• Develop and implement data science strategies that align with the overall goals of the AI team and the organization.
• Drive business and strategy development through project delivery and client relationship management.
• Develop/sell new business opportunities.
• Direct multiple projects simultaneously, honing analytic and project management skills.
• Play a key role in the development of data science capabilities and offerings that create scale and advance our analytic platform.
• Motivate, coach, and serve as a role model for project team members.
• Provide thought leadership and innovation through research and publication.

What You'll Bring

• PhD degree in Computer Science, Statistics, or a related discipline; in lieu of a PhD, 10+ years of work experience may substitute.
• 8+ years of relevant post-collegiate work experience.
• Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.).
• Relevant programming background (e.g., Python/R).
• Strong understanding of relevant tools/platforms (e.g., cloud platforms such as AWS/Azure).
• Proven track record of business development.
• Agile project planning and project management experience.
• Team management and skill development experience.
• Relevant domain knowledge preferred (healthcare, pharma).
• Excellent oral and written communication skills.
• Strong attention to detail, with a research-focused mindset.
• Excellent critical thinking and problem-solving skills.