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Data Scientist

Job in Aberdeen, Brown County, South Dakota, 57401, USA
Listing for: Energy Innovation Corp
Full Time position
Listed on 2026-10-28
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 73000 - 98000 USD Yearly USD 73000.00 98000.00 YEAR
Job Description & How to Apply Below

We need a Data Scientist who can take a vague technology request and return a joyfully-rigorous system that does exactly, and only, what was asked. Rare is the mid-level opening that pairs $73,000 - $98,000 with the freedom to shape technology work the way this Aberdeen one does.

Key Responsibilities
  • Harden Property Partners Inc's Tensor Flow auth so the SD audit comes back clean
  • Automate the manual Tensor Flow chores that quietly drain Aberdeen, SD engineering hours
  • Watch Tensor Flow error budgets and pump the brakes before Aberdeen, SD burns through them
  • Pair with cross-functional partners to scope and deliver hybrid projects
  • Own the scrappy Tensor Flow subsystem that the rest of Property Partners Inc quietly depends on
  • Build Natural Language Processing self-service tools so Aberdeen teams stop filing tickets for everything
  • Lead technical design reviews for mid-level technology initiatives
What You'll Bring
  • The kind of ownership that treats the company's money like your own
  • Experience supporting cross-functional teams in a mid-level capacity
  • 3+ years building trust the slow, unglamorous way
  • Meticulous attention to detail across every deliverable
  • The kind of empathy that makes hard feedback land softly
  • A growth mindset that treats feedback as fuel, not threat
  • The instinct to ask "what would change your mind?" before debating

Property Partners Inc took everything frustrating about technology and rebuilt it from scratch in Aberdeen, SD, with goal-oriented attention to Presentation Skills. We trust the mid-level folks closest to the customer to make the call without a committee.

Get $73,000 - $98,000, get a mentor, get benefits, and get the freedom to grow your Natural Language Processing without anyone watching the clock.

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