Part-Time Data Scientist: Deep Learning & MLOps (Fort Worth)

Egreenservices; Fort Worth (TX); On-site; USD 82,000 - 123,000; Part time

Job summary

Kohls in Fort Worth, TX is hiring for a mid-level, part-time backend/ML engineer to build scalable Deep Learning solutions and own outcomes. You will mentor peers, optimize Databricks/Spark pipelines, and help Kohls deploy ML features during launch spikes on-site in Texas.

Expect collaboration with a tight-knit team, bias-to-action problem-solving, and a role that balances delivery with growth opportunities in a fast-moving tech environment.

Qualifications

• Experience deploying ML models to production environments.
• Ability to mentor peers and lead by example.
• Willingness to relocate or work on-site in Fort Worth, TX.

Responsibilities

• Guard the Databricks codebase quality through reviews that educate and catch issues.
• Profile and refactor legacy code to reduce technical debt.
• Tune caching to support peak loads at launch in Fort Worth.
• Lead ETL design reviews to prevent costly mistakes before Fort Worth builds them.
• Prototype ideas quickly and decide which enter Kohls's stack.
• Keep CI/CD pipelines green to ensure smooth Fort Worth deployments.
• Integrate Spark events into the MLOps pipeline for reporting.

Skills

Independent work

Team collaboration

Bias-to-action

Fort Worth on-site

Project ownership

Resilience

TX regulations knowledge

Databricks

Apache Spark

XGBoost

Deep learning

Tools

Databricks

Apache Spark

XGBoost

Deep Learning pipelines

Job description

Kohls in Fort Worth, TX is hiring for a mid-level, part-time backend/ML engineer to build scalable Deep Learning solutions and own outcomes. You will mentor peers, optimize Databricks/Spark pipelines, and help Kohls deploy ML features during launch spikes on-site in Texas.

Expect collaboration with a tight-knit team, bias-to-action problem-solving, and a role that balances delivery with growth opportunities in a fast-moving tech environment.