Data Scientist – Level 2

Job Title: Data Scientist – Level 2 Location: New Delhi Employment Type: Full-Time (Work From Office) Experience: 3+ Years About Jarvis Technology & Strategy Consulting: Jarvis Technology & Strategy Consulting is one of India’s leading political and policy consulting organizations, founded by socio-entrepreneurs from premier institutions such as IIT, ISB, and NIT. With a strong presence across the country, we leverage data and technology to drive large-scale political campaigns, design action-oriented community outreach programs, enable targeted communications, and improve the effectiveness of government initiatives.

: We are looking for a Data Scientist (Level 2) to work on real-world, large-scale datasets and contribute to high-impact projects in the political and governance space. In this role, you will be responsible for analyzing data, building models, and generating insights that directly influence strategic decisions. This role is ideal for professionals with a strong analytical foundation who are eager to take ownership and work in a fast-paced, impact-driven environment.

: • Rapid Prototyping : Develop quick-turnaround analytical proofs-of-concept (PoCs) to validate hypotheses before committing to full-scale model development. • Take full ownership of the data pipeline, from initial data cleaning and exploratory analysis to model deployment and final presentation. • Cross-Functional Translation : Distill complex statistical outputs into clear, non-technical narratives for stakeholders in Operations and Research. • Data Quality Auditing : Implement rigorous validation checks to ensure accuracy in large-scale datasets, as decisions are based on high-integrity outputs. • Analyze structured and unstructured datasets to derive actionable insights. • Build, evaluate, and optimize statistical and machine learning models. • Design and develop dashboards, reports, and data visualization frameworks. • Translate business and operational problems into data-driven solutions. • Present insights and recommendations to stakeholders in a clear and structured manner. • Stay updated with latest tools, technologies, and best practices in data science.