remoteonsite
Data Scientist - Applied Materials
Data Scientist
Data Scientist driving insights from complex datasets to accelerate materials innovation, leveraging Python, machine learning, and cloud analytics to support semiconductor and display technology development.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models to optimize materials performance and manufacturing processes.
- Extract, clean, and analyze large-scale datasets from production equipment and sensor streams.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Implement scalable data pipelines and visualizations using Python, SQL, and cloud services.
- Communicate findings and actionable insights to stakeholders through reports and dashboards.
Requirements
- Strong programming skills in Python and experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Proficiency in SQL and data manipulation in relational or NoSQL databases.
- Hands‑on experience with cloud platforms, preferably AWS (S3, Redshift, SageMaker).
- Excellent problem‑solving abilities and a passion for applying data science to materials engineering.
- Effective communication skills for presenting complex analyses to technical and non‑technical audiences.
Skills
pythonmachine learningdata analysissqlaws