Remote Data Scientist — Build, Deploy & Mentor at Scale

Egreenservices; Charlottesville (VA); Remote; USD 63,000 - 92,000; Full time

Job summary

Target in Charlottesville, VA is seeking a Data Scientist intern to own features end-to-end from architecture through deployment and monitoring. The role offers a salary of $63,000 - $92,000 with remote options and mentorship to help you grow in a customer-obsessed tech environment.

The team emphasizes empathy, coaching, and practical data storytelling using tools like Jupyter, Spark, and SageMaker to accelerate engineering outputs.

Qualifications

• Comfort interpreting data and translating findings into clear recommendations.
• Coaching results, ideally seasoned in Charlottesville, VA.
• 1+ years putting Apache Spark to work in a technology setting.
• Flexibility to adapt your approach as business needs evolve.
• 1+ years of Empathy reps, not just Empathy exposure.
• Working knowledge of Jupyter alongside transferable PyTorch chops.

Responsibilities

• Build Empathy dashboards so Target's technology team stops asking engineers for numbers.
• Ship Excel experiments fast, kill the losers, and double down on what sticks.
• Ship incremental improvements to Target's Charlottesville platform on a regular cadence.
• Ship Apache Spark fixes to Target customers in Charlottesville, VA the same day they report them.
• Mentor the junior cohort through their first real Coaching on-call at Target.
• Build the SageMaker tooling that makes every other Charlottesville engineer faster.
• Drive adoption of best practices in testing, security, and observability.

Skills

Interpreting data and presenting clear

Coaching results

Apache Spark

Flexibility

Empathy reps

Jupyter

PyTorch

Tools

SageMaker

Jupyter

PyTorch

Job description

Target in Charlottesville, VA is seeking a Data Scientist intern to own features end-to-end from architecture through deployment and monitoring. The role offers a salary of $63,000 - $92,000 with remote options and mentorship to help you grow in a customer-obsessed tech environment.

The team emphasizes empathy, coaching, and practical data storytelling using tools like Jupyter, Spark, and SageMaker to accelerate engineering outputs.