ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people.

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings.
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.

What You’ll Bring

• A master’s degree in computer science, Statistics, or a relevant field;
• A robust academic performance history with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• Fluency in English.