Sr Data Scientist

Overview

As a Senior Data Scientist, you will develop data-driven insights, predictive models, and optimization solutions that improve semiconductor manufacturing operations, working with customers, domain experts, and engineering teams.

What you'll do

• Collect, process, and analyze manufacturing, simulation, and operational datasets.
• Perform exploratory data analysis (EDA) to identify trends, bottlenecks, anomalies, and opportunities for improvement.
• Develop statistical models and analytical frameworks to support operational decision making.
• Translate complex analytical findings into clear business recommendations.
• Design, develop, and validate predictive models for forecasting, classification, anomaly detection, and optimization use cases.
• Apply operations research, statistical learning, and optimization techniques to solve manufacturing challenges.
• Contribute to hybrid solutions that combine analytics, machine learning, and simulation technologies.
• Design experiments and perform rigorous analysis to validate model effectiveness and business impact.
• Work with simulation technologies, including discrete-event simulation (DES), to evaluate manufacturing scenarios and operational strategies.
• Analyze simulation outputs and combine them with historical operational data.
• Develop methodologies that improve planning, scheduling, resource utilization, and factory performance.
• Work directly with customers, domain experts, and project teams to understand business requirements.
• Present technical findings and recommendations to both technical and non-technical audiences.
• Document datasets, methodologies, experiments, and analytical conclusions.
• Contribute to customer workshops, solution design sessions, and project reviews.
• Stay current with developments in data science, statistics, optimization, and applied machine learning.
• Evaluate emerging methodologies and identify opportunities to improve customer outcomes.
• Support research initiatives focused on manufacturing intelligence and decision-support technologies.

What you'll need

• Strong foundation in statistics, mathematics, and data analysis.
• Experience developing predictive and analytical models.
• Strong Python programming skills.
• Hands-on experience with Pandas, Polars, NumPy, Scikit-learn, and related analytical tooling.
• Experience with feature engineering, exploratory analysis, and model evaluation.
• Understanding of optimization techniques, statistical experimentation, and hypothesis testing.
• Strong problem-solving and analytical thinking skills.
• Ability to communicate technical concepts to diverse stakeholders.
• 8+ years of experience.

Nice to have

• Experience with discrete-event simulation or operations research.
• Experience with manufacturing, scheduling, supply chain, or industrial systems.
• Familiarity with machine learning deployment and MLOps concepts.
• Experience working with high-dimensional or time-series datasets.
• Knowledge of semiconductor manufacturing or advanced industrial environments.

Details

• Location: Bangalore, India.
• Full time, Assignee / Regular.
• Travel: Yes, 10% of the time.
• Relocation eligible: Yes.