TEL is looking to solve technical problems in hardware and semiconductor manufacturing using data science solutions
Requirements
- Solid understanding of data engineering, analytics, and software development life cycle
- Proficient in Python data science and visualization libraries (pandas, dask, plotly, numpy, matplotlib)
- Experience or familiarity with Python-based web frameworks (FastAPI, Dash, Flask, Django)
- Knowledge of distributed data processing technologies like Apache Spark
- Experience with cloud platforms and CI/CD methodologies
Responsibilities
- Designs and develops data science solutions to solve technical problems in hardware and semiconductor manufacturing
- Applies data analytics and machine learning techniques to moderate-complexity projects
- Validates and interprets data to generate actionable insights with business impact
- Develops pipelines, maintains databases, and builds backend analytical functions
- Collaborates with cross-functional teams to support data-driven decision-making and project execution
- Supports patent applications and contributes to technical publications and presentations
- Develops productive internal and external relationships to resolve data-related challenges
Other
- Bachelor’s Degree
- 2 years of relevant experience
- Effective communication and collaboration skills
- Ability to exercise judgment within defined procedures and moderate complexity projects
