Advanced Data Science Associate

ZS is a place where passion changes lives

As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all

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.

 

Insights & Analytics

 

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;  
• 1-2 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.

• 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. 

 

How you’ll grow: