Data Scientist Associate

We are looking for an experienced, analytical, and research-oriented professional to solve complex, real-world business problems using Data Science, Statistics, AI, and Automation. In this role, you will move beyond basic data analysis to architect statistical models, deploy predictive analytics, and drive high-impact, data-driven business decisions.

Key Responsibilities

• Data Insights: Architect robust data pipelines to collect, clean, validate, and analyze vast datasets, translating them into actionable strategic insights.
• Advanced Modeling: Apply complex statistical and machine learning techniques, including exploratory data analysis, hypothesis testing, regression, forecasting, classification, and clustering.
• R&D and Innovation: Research evolving AI methodologies, GenAI, and automation solutions to find innovative opportunities for business and process improvements.
• Tool & Workflow Development: Design and deploy production-grade dashboards, analytical scripts, automation workflows, and internal tools using Python, SQL, APIs, and Generative AI frameworks.
• End-to-End Ownership: Identify operational bottlenecks, define project requirements, and own data science projects from initial research through deployment and continuous iteration.
• Stakeholder Communication: Translate complex technical models and analytical findings into clear, compelling narratives, reports, and presentations for leadership and non-technical stakeholders.

Minimum Qualifications

• Education: M.Sc., M.Tech., M.E, or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, AI/ML, Operations Research, or related fields.
• Experience: 2–3 years of core professional experience working as a Data Scientist, Data Analyst, or Statistical Modeler.
• Technical Skills: Advanced proficiency in Python, SQL, and R (specifically for statistical computing).
• Proven experience deploying Machine Learning models and building advanced Data Visualizations.
• Deep conceptual and practical understanding of Statistics, Probability, and Predictive Modeling.

Soft Skills: Strong project management abilities, a proactive problem-solving mindset, and excellent verbal/written communication skills.