Remote: Hybrid

We're hiring a Senior Data Scientist: Founding Team, India Product Development Center (Global B2B Manufacturing Marketplace. India (Hybrid) Function: Data Science Our client, a US-headquartered, global B2B manufacturing marketplace platform, is opening its first Product Development Center in India, and this is one of the founding hires. You will define how data science gets done here from day one, not join an existing team and follow its playbook. Roughly 40% of the job is designing, running, and interpreting experiments, not building dashboards or reporting metrics. If you haven't owned an A/B test end-to-end (design, sample size, read-out, causal inference), this isn't the right fit. Not a BI or MLOps role. We're not looking for a Tableau/visualization specialist or an ML infrastructure engineer. We need someone who has been inside an organization that runs real experiments and has helped shape them from inception to production. E-commerce or B2B marketplace background preferred. Experience at companies like Wayfair, Amazon, or similar scaled marketplaces is a robust signal. This role stays hands-on, deep in the data, the experiment design, and the analysis. We're looking for a results-oriented Senior Data Scientist to lead data science across key product and business problems, using analytics, experimentation, and statistical methods to drive better decisions and measurable outcomes. As a founding Data Scientist for our client's India PDT team, you'll also help establish strong data practices, build cross-region trust, and shape a culture of innovation and execution as the organization scales.



AI-Driven Analytics ~ Champion the adoption of AI across the SDLC, and find and scale ways to accelerate data analytics across the organization Define metrics that measure product and business performance Analyze data to identify opportunities, issues, and key business drivers Build dashboards and visualizations to track performance and trends Apply statistical and causal inference methods to draw reliable conclusions from data Data, Tools & Technical Leadership Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake Use SQL, Python, Jupyter Notebooks, Looker, and related tools to generate insights Serve as a founding Data Scientist, establishing strong data science practices and helping build a high-performing team 5+ years of progressive data scientist experience, with real ownership of experimentation, not just metrics and reporting ~ Bachelor's degree required; degree in applied math, computer science, natural sciences, or engineering preferred ~ D. in a related field highly desired ~5+ years of experience with machine learning, statistical modeling, and optimization techniques ~ Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)~ Familiar with scientific software principles, e.g. versioning systems, reproducibility ~ Prior experience at an e-commerce company or B2B marketplace strongly preferred ~ Experience working with international/US-based stakeholders is a plus ~ Manufacturing industry experience is a bonus, not a requirement All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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