Lead Data Scientist
Sensata Technologies, Inc. (company site, opens in a new tab)7+ yrsPuneOn-siteDirect career pageEst. 25–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development and deployment of machine learning and forecasting models to improve commercial operations including pricing, sales prioritization, and customer segmentation.
- Translate business questions from Marketing, Sales, Revenue Operations, and Commercial Finance into data science solutions and communicate results to non-technical stakeholders.
- Set standards for model validation and collaborate with engineering teams to operationalize models and support enterprise-wide analytics needs.
Minimum Requirements
- Bachelor’s degree or equivalent relevant work experience required.
- Minimum 7 years of experience in data science, machine learning, or applied statistics supporting commercial teams (sales, marketing, pricing, or commercial finance).
- Proficiency in Python and SQL; experience with CRM (e.g., Salesforce) and commercial data sources required.
- Work Experience Required: 7+ years in relevant data science roles.
Ideal Candidate Profile
- Experienced in building and operationalizing predictive models like propensity scoring, pricing analytics, and forecasting for commercial applications.
- Strong ability to translate complex data science results into clear, actionable insights for business leaders.
- Familiarity with applied optimization methods and commercial data platforms (ERP, quoting systems) to influence decision making and support integrated commercial workflows.