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Data Scientist

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Onsite

Data Scientist

TechHuman

Data Scientist

Skills

SQL QueriesPythonData AnalysisMachine LearningAIPower BIAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Mutual, OH, USA

Work mode:

Onsite

Published on:

8 October 2026

What they need


We are hiring a Data Scientist to solve complex business problems with data. Working directly with VPs and business leaders, you will help define the right problems, choose the right approach, and build predictive and AI-driven solutions that go beyond dashboards and reports. You will partner with Data Engineering and Business Intelligence to shape a modern analytics platform on Microsoft Fabric and help set practical standards for how models are developed, documented, and monitored as AI adoption grows. This role is ideal for a builder who enjoys a clean slate and wants to make a visible impact on the business.

Must-Haves:

  • Proven track record of solving business problems with data: partnering with stakeholders and leaders to define the problem and deliver a data-driven solution.
  • Hands-on statistical, predictive, or machine learning modeling experience
  • Strong Python and SQL for data transformation, analysis, and model development
  • Builder mindset. Comfortable with ambiguity and with helping build the data foundation rather than expecting a finished platform on day one (HM emphasized).
  • Strong communication skills, including explaining models, findings, and tradeoffs to non-technical business leaders

Nice To Haves:

  • Power BI semantic models and DAX.
  • Microsoft Fabric: notebooks, Lakehouses, Fabric apps, and data agents.
  • Generative AI and LLM experience, including data agents and conversational analytics.
  • Pricing optimization or win/loss modeling, or operational forecasting such as work orders, service, or parts.
  • Git, Azure DevOps, and CI/CD practices

TechHuman is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), age, national origin, citizenship status, disability, genetic information, marital status, military status, protected veteran status, or any other status protected under applicable federal, state, or local law.

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