DATA SCIENCE ASSOCIATE

Data Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.

Responsibilities:

• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
• Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
• Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings
• Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
• Evaluating emerging datasets and technologies that may contribute to our analytical platform
• Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies.
• Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability.
• Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems.
• Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows.

Qualifications:

• Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required.
• 1-3 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.
• Knowledge of programming (e.g. Java/Python/R);
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
• Excellent oral and written communication skills.
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem-solving skills;
• High motivation, good work ethic and maturity.  
• Exposure to Generative AI and its usage to solve problems is a plus.