Role : Staff Data ScientistFounding member, India Product Development TeamBengaluru (Hybrid) - Individual Contributor - Full-timeAbout the Opportunity : Our client is a global, AI-driven marketplace platform (publicly listed, headquartered in the US) that connects businesses around the world with a large network of specialized service and fulfillment partners, providing instant pricing, decision-support, and technology-driven solutions at scale.They are now building their first Product Development Team (PDT) in India, a founding team that will own core global platform areas end-to-end and help set the culture, practices, and standards for the org as it scales. This is a full-ownership build, not a support or augmentation function.About the Role : This is a Staff-level, individual-contributor Data Science role, not a generalist metrics-and-dashboards position. You will own data science for a key global product and business area, spanning experimentation, causal analysis, and applied modeling, while also mentoring other data scientists and setting the experimentation bar for the India team.Indicative time split : - 40% - Experimentation design and execution- 20 - 30% - Data science applied to long-run product analysis (identifying opportunities and problems)- 30% - Metrics, business reviews, and analyticsHow You'll Contribute : AI-Driven Analytics : - Champion the adoption of AI across the analytics lifecycle, finding new ways to accelerate data science work across the org.Analytics & Business Insight :



- Define metrics that measure product and business performance.- Analyze data to identify opportunities, issues, and key business drivers.- Turn insight into clear, actionable recommendations with estimated business impact.- Build dashboards and visualizations that track performance and trends.Experimentation & Statistical Inference : - Design experiments end-to-end to measure the impact of product and business changes, not just run them.- Apply statistical and causal inference methods (power analysis, Bayesian methods, diff-in-diff / pre-post analysis) to draw reliable conclusions.Modeling & Technical Leadership : - Apply data science techniques such as clustering and segmentation to surface product opportunities.- Work with large datasets on cloud platforms (e.g., AWS, Snowflake) using SQL, Python, and BI tools.- Partner closely with Product and Engineering to shape strategy and priorities.- Set a high technical bar and mentor other data scientists across experimentation and modelling.Founding & Scaling the India Team : - Serve as a founding member of the India Product Development Team,



helping establish robust data science practices from the ground up.- Build trust and working rhythms with global stakeholders and cross-functional partners.What You'll Need : Must-haves : - 8+ years of progressive data science experience, with meaningful time in a senior IC (staff/principal) capacity.- Direct experience working embedded within a product team, not purely ad-hoc business or strategy analysis.- Real, hands-on experimentation experience beyond basic A/B testing, you should be comfortable discussing power analysis, Bayesian methods, and diff-in-diff / pre-post analysis.- Genuine comfort with an individual-contributor path. This is an IC role today, with the possibility (not a guaranteed timeline) of moving into people management as the team scales.- Proficiency in Python (pandas, numpy, SciPy, scikit-learn) and strong grounding in statistics and linear algebra.Good to have : - Background in consumer, e-commerce, payments, or two-sided marketplace businesses.- Experience in a US-headquartered company or Global Capability Center (GCC).- Master's or PhD in a quantitative field (applied math, computer science, statistics, engineering, or related).- Familiarity with reproducible, versioned scientific/analytics workflows.What's on Offer : - A true 0-to-1 mandate : help build a founding team and its practices from day one.- Full ownership of a global platform area, not a regional or India-only mandate.- Close partnership with senior product, engineering, and data leadership across geographies.- A genuinely AI-forward way of working, in the product and in the team's own workflow. (ref:hirist.tech)

📌 Staff Data Scientist - Experimentation & Modeling (Bengaluru)
🏢 all things talent
📍 Bengaluru