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TEL is looking to solve technical problems in hardware and semiconductor manufacturing by delivering data solutions of moderate complexity.

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.
• Supports patent applications and contributes to technical publications and presentations.
• Develops productive internal and external relationships to resolve data-related challenges.
• Develops pipelines, maintains databases, and builds backend analytical functions.

Other

• Under general supervision, responsible for delivering data solutions of moderate complexity.
• Collaborates with cross-functional teams to support data-driven decision-making and project execution.
• Ability to exercise judgment within defined procedures and moderate complexity projects.
• Effective communication and collaboration skills.
• 2 years of relevant experience