Data Scientist - Workforce Planning & Data Analytics

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

About The Team & Your Role

Strategic Planning & Analytics team is architected to move beyond traditional HR, functioning as a strategic engine that fuels ST’s growth through five specialized pillars: Business Partnerships, Products & AI, Workforce Insights, Data Science, and Workforce Planning Architecture. We are currently in an ambitious build-phase, moving away from legacy processes to create a sophisticated, tech-enabled function that mirrors the engineering excellence of the semiconductor industry. We don’t want to just manage headcount; we want to build intelligent frameworks and predictive models that ensure our global workforce is as cutting-edge as the semiconductor solutions we provide to the world.

As a member of this team, you won’t be working in a silo. You will be at the intersection of human capital and advanced technology, leveraging AI and data science to solve complex organizational challenges and expected to be a foundational builder. We are looking for pioneers to help us design and implement our first generation of advanced analytics and AI-driven products. You won't just be using technology—you will be architecting the roadmap, selecting the tools, and establishing the data science frameworks that will define how ST manages its global talent for years to come. If you are energized by the challenge of redefining the "H" in HR through the lens of data and innovation, you’ve found the right place.

Responsibilities

• Partner with cross-functional and global teams to lead projects solving complex business problems using data science and advanced analytics to frame right questions and predict trends
• Lead teams to own complete analytics project lifecycle from requirement gathering, data extraction to reporting/ presenting the findings in IC role or with the team as per project needs
• Proactively use data science concepts to design methodologies and frameworks to connect business and people data together to identify and solve complex business problems and deliver impact on people experience, performance and culture
• Excellent experience in programming ML languages like Python and Azure/SWL/ Snowflake/ DataBricks
• Effectively use data mining algorithms such as clustering, decision trees, logistic regression, ARMIA, Bayesian networks, neural networks etc.
• Ability to use GenAI plugins with open-source stack to develop conversational layers on SQL databases
• Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis, forecasting techniques and so on
• Develop statistical models to support HR Analytics offerings and solutions
• Work on advanced statistical models to measure and improve on-going performance of employee metrics using unstructured data using NoSQL or Data lakes
• Work with senior stakeholders to help them conceptualize People KPIs and build solutions from scratch, and have a strong bias towards creating clean, powerful, user-focused visualizations to deliver insights and analysis. Technologies used could vary from Power BI, Advanced Excel, VBA, or any other new technology
• Zeal to learn new things and implement learnings in an innovative manner.

Background

• Candidate should possess “Can-do” attitude with excellent quantitative skills, with an ability to work on large datasets. They should be able to generate actionable insights from data analysis that translates to valuable business decisions for the business stakeholders
• Must have programing and coding experience in R, Python or MS Azure
• Must have experience in Machine Learning, AI and Natural Language Processing
• Understanding of SDLC, ETL
• Experience in designing and setting up Date Lakes
• Strong experience in finding data patterns and storytelling from disconnected data
• Business consulting experience will be good
• 7 to 10 years of developing end-to-end Decision Science solutions: data modeling, ETL and reporting
• Masters/ PhD in Computer Science, Information Technology equivalent
• Understanding of HCM systems like Oracle is an added advantage
• Excellent English, quantitative, technical, and Storytelling skills

ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.

To discover more, visit st.com/careers.