Advanced Data Science Manager

About the role

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.
Direct multiple projects simultaneously, honing analytic and project management skills.
Play a key role in developing 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.

Responsibilities

• 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 developing 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.

Requirements

• PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.
• MBA or Executive MBA (on top of data science education) is preferred.
• 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 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.

Qualifications

• Client-first mentality.
• Intense work ethic.
• Collaborative spirit and problem-solving approach.

Skills

• Advanced Data Science Manager in AI.

Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community.

Pay

Details on total rewards in United States can be found at ZS US office locations | Where we work | ZS.

Schedule

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.