Data Scientist

Your Job

The Data Scientist will own the data backbone of our Azure-based AI/ML engineering platform.

They will be turning historical design and simulation results into clean, structured datasets, and statistically validating that the AI/ML models built on top of them can be trusted before they inform design decisions.

Our Team

Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting.

You'll join the platform team behind our Azure AI/ML engineering tools, working closely with ML engineers, LLM engineers, and MLOps teams to keep the data foundation reliable and query-able.

What You Will Do


* Build and maintain ETL pipelines (Azure Data Factory / Azure Databricks) that structure engineering design parameters and simulation results for ML use.


* Run statistical and exploratory analysis to identify which design parameters most strongly drive performance outcomes.


* Validate model outputs against ground-truth simulation results, and flag data quality issues that could bias downstream models.


* Track model and pipeline performance over time; build Power BI dashboards giving engineering teams visibility into data and model health.


* Apply DOE (design of experiments) principles to help sample the design space efficiently rather than exhaustively.

Who You Are (Basic Qualifications)


* Hands-on experience building and validating AI/ML models - not just data prep or descriptive analytics.


* 10+ years in a data science role, ideally with engineering, simulation, or scientific/experimental data.


* Strong Python (pandas, NumPy, scikit-learn) and SQL.


* Comfortable with Azure data tools (Azure Data Factory, Azure Databricks, Azure Synapse) or an equivalent cloud data stack.


* Solid statistics grounding: hypothesis testing, regression, DOE, variance/sensitivity analysis.


* Experience with data visualization/dashboarding tools (Power BI or similar).

What Will Put You Ahead


* Signal integrity or RF/high-speed electronics knowledge.


* Experience validating ML model outputs (drift detection, error analysis) in a cloud ML platform.


* Familiarity with CAD/engineering design data or PLM systems.


* Experience working alongside ML engineering teams on shared cloud data infrastructure.

For this role, we anticipate paying $160,000 - $200,000 per year.

This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or lower than the range provided considering each candidate's knowledg...