Lead Data Scientist

Sensata Technologies; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Sensata Technologies seeks a Lead Data Scientist (Commercial focus) to partner with Marketing, Sales, Revenue Operations, and Commercial Finance. Build ML, forecasting, and optimization models to improve pricing, customer targeting, and revenue performance.

Lead data science projects and ensure robust deployment across the commercial lifecycle. Ideal candidates have 7+ years in data science, strong Python/SQL skills, and experience with pricing analytics, CRM data, and cross-functional

Qualifications

• Bachelor's degree or equivalent, with evidence of strong quantitative skills.
• Strong communication and ability to work in fast-paced teams.
• Proficiency in Python and SQL; experience presenting to executives.
• Experience with CRM/ERP data sources and pricing/forecasting domains.
• Experience leading data science projects and cross-functional teams.

Responsibilities

• Lead development of ML models for pricing, forecasting, and optimization.
• Collaborate with Marketing, Sales, Revenue Ops, and Finance.
• Identify data needs and ensure scalable model deployment.
• Validate models with backtesting and monitoring.
• Translate business questions into data science problems and deliver actionable insights.
• Communicate findings using data visualization.

Skills

Python

SQL

Machine Learning

Forecasting

Optimization

Data Visualization

Education

Bachelor's degree

Master's preferred

Tools

Azure ML

Databricks

Salesforce CRM

Excel

Job description

The Lead Data Scientist (Focus: Commercial) is the primary data science partner to Sensata's commercial organization: Marketing, Sales, Revenue Operations, and Commercial Finance. This role builds machine learning, forecasting, and applied optimization models that improve how Sensata prices, sells, prioritizes customers and leads, and forecasts performance. The role also supports enterprise data science needs as priorities arise.

General Responsibilities

• Oversees developing innovative product solutions to continuously drive value for the customer
• Leads development project teams by defining data needs
• Advises on insights to customer challenges
• Identify valuable data sources and efficient collection processes
• Analyze large data sets to discover trends and value driven insights
• Leads predictive models and algorithms
• Oversees development processes and tools to analyze model performance and data accuracy
• Communicate complex findings and ideas using data visualization techniques

Experience / Qualifications

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
• Strong communication skills; oral, written and presentation
• Strong organization, planning and time management skills to achieve results
• Strong personal and professional ethical values and integrity
• Holds self-accountable to achieving goals and standards
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
• Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional Responsibilities

• Build and deploy models across the commercial lifecycle, including lead and opportunity scoring, customer propensity and churn, next-best-offer, and customer segmentation.
• Develop pricing analytics and decision models, including price elasticity, deal and quote guidance, and margin optimization at the product and customer level.
• Build forecasting models for market performance, revenue, bookings, and pipeline, combining internal commercial data with external market and peer data.
• Apply practical optimization methods to commercial and operational decisions such as scheduling, resource allocation, and pricing scenarios.
• Translate business questions from Marketing, Sales, Revenue Operations, and Commercial Finance into well-scoped data science problems, and explain the results in clear, decision-ready terms.
• Deliver ad hoc analyses and models for enterprise priorities outside the commercial organization as needed.
• Set standards for validating models, including testing, backtesting, monitoring, and retraining, so models stay accurate after launch.
• Partner with AI Engineers and platform teams to put models into production and embed them in business workflows and systems.
• Evaluate third-party analytics and AI solutions to validate performance claims and support technology decisions.

Additional Qualifications

• 7+ years of experience in data science, machine learning, or applied statistics, ideally supporting sales, marketing, pricing, or commercial finance teams.
• Strong expertise in classification and propensity modeling, time-series forecasting, regression and causal analysis, and experimentation.
• Working knowledge of applied optimization methods (e.g., linear or mixed-integer programming) for pricing, scheduling, or allocation problems.
• Experience with commercial data sources such as CRM (e.g., Salesforce), ERP, pricing, and quoting systems.
• Strong proficiency in Python and SQL; experience with Azure ML, Databricks, or similar platforms preferred.
• Proven ability to explain complex models to executives and non-technical stakeholders and drive adoption.
• Advanced degree in Data Science, Statistics, Economics/Econometrics, Applied Mathematics, Computer Science, or a related quantitative field preferred

SmarterTogether Collaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing. Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication As OneSensata, we are working together to make things work together.

Sensing is what we do. In fact, our name Sensata comes from the Latin word sensate for ‘those gifted with sense’. Our focus on sensing is also reflected in our logo, which spells Sensata in Braille. Sensata Technologies is a global industrial technology company striving to create a safer, cleaner, more efficient and electrified world. Through its broad portfolio of mission-critical sensors, electrical protection components and sensor-rich solutions, Sensata helps its customers address increasingly complex engineering and operating performance requirements. With more than 18,000 employees and global operations in 13 countries, Sensata serves customers in the automotive, heavy vehicle & off-road, industrial, and aerospace markets.

Note to applicants for positions in the United States: Sensata Technologies, Inc. (US) is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the \"Know Your Rights: Workplace Discrimination is Illegal\" Poster. Sensata Technologies, Inc. (US) participates in E-Verify. View the E-Verify posters If you are an individual who requires a reasonable accommodation in connection with the hiring process and/or to perform the essential functions of the position for which you applied, please make a request to the recruiter or contact [e-mail] Diversity Statement We are dedicated to ensuring our employees feel a sense of belonging and respect every day. We believe that every individual has unique insights that others can learn from. Working at Sensata means you can bring your whole self to the table. Our goal is to achieve fair representation of women, minorities, veterans, people with disabilities, and all types of diversity among all levels in our organization.