Data Scientist - Jupyter & ETL Innovator in Wilmington, DE

Energy Innovation Corp; Wilmington (DE); On-site; USD 63,000 - 95,000; Full time

Benefits offered by this job

Benefits

Job summary

Dollar General seeks a Data Scientist in Delaware to own analytics projects end-to-end, advocate for coaching, and ship improvements to the Wilmington platform. This role emphasizes ownership, collaboration, and a clear path forward within a fast-paced product environment.

You will translate regulatory and data requirements into robust Jupyter-based guardrails, mentor engineers, and drive shipping of features with a bias for action and measurable impact.

Qualifications

• A portfolio or work samples that demonstrate your technology expertise.
• Proven follow-through, measured in shipped things rather than good intentions.
• 1 years of Jupyter práctica, plus a hunger for what's next
• Self-motivated and able to work independently with minimal oversight
• Junior fluency in ETL Pipelines, with Jupyter on your roadmap
• The communication discipline to over-share early and trim later
• A teammate's instinct to unblock others before yourself

Responsibilities

• Trace a technology number back through Coaching services until it finally adds up
• Ship incremental improvements to Dollar General's Wilmington platform on a regular cadence
• Translate technology compliance rules into Jupyter guardrails baked into the build
• Wrangle Jupyter config across environments so Wilmington staging mirrors production
• Hand off Jupyter runbooks so the next on-call at Dollar General sleeps better
• Mentor junior engineers and contribute to a strong code-review culture

Skills

Portfolio/work samples

Follow-through

Jupyter

Independence

ETL Pipelines

Communication

Team collaboration

Tools

Jupyter

Job description

Dollar General seeks a Data Scientist in Delaware to own analytics projects end-to-end, advocate for coaching, and ship improvements to the Wilmington platform. This role emphasizes ownership, collaboration, and a clear path forward within a fast-paced product environment.

You will translate regulatory and data requirements into robust Jupyter-based guardrails, mentor engineers, and drive shipping of features with a bias for action and measurable impact.