Sr Data Scientist
Applied Materials (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 17h ago
Reach people at Applied Materials
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Applied Materials you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop predictive models and optimization solutions to improve semiconductor manufacturing operations.
- Analyze large-scale manufacturing and simulation data to provide actionable insights and decision-support tools.
- Collaborate with customers, domain experts, and engineering teams to translate data analysis into business recommendations and validate model effectiveness.
Minimum Requirements
- 8+ years of work experience in data science or related fields.
- Strong foundation in statistics, mathematics, and data analysis.
- Proficiency in Python programming with experience in Pandas, Polars, NumPy, Scikit-learn.
- Experience in predictive modeling, feature engineering, exploratory data analysis, and understanding of optimization techniques.
Ideal Candidate Profile
- Experienced in semiconductor manufacturing or advanced industrial environments, preferably with knowledge of manufacturing, scheduling, or supply chain systems.
- Skilled in using discrete-event simulation and operations research to evaluate manufacturing scenarios.
- Able to communicate complex technical concepts clearly to both technical and non-technical stakeholders, bridging business challenges and technical solutions.