Job Description


Job Overview

  • Job ID:

    J54999

  • Job Title:

    Data Scientist

  • Location:

    Arden Hills, MN

  • Duration:

    12 Months + Extension

  • Domain Exposure:

    Aerospace/ Airlines

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

    US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Scientist

Location: Arden Hills, MN

Duration: 12 Months + Extension

Bill Rate: $71/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

  • Partner with business stakeholders to frame use cases, understand industry drivers, and agree on decision needs and success criteria.
  • Explore, profile, cleanse, transform, and integrate enterprise and reputable external data, verifying quality against source data, business rules, and industry context while following privacy, security, and sourcing requirements.
  • Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model evaluation criteria.
  • Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business context, and reusable analytical components.
  • Develop reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift against agreed business and technical criteria.
  • Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection, analytical quality, interpretation, and clear communication.
  • Distinguish meaningful patterns from noise and communicate findings, assumptions, tradeoffs, uncertainty, risk, and quantified impact as clear business implications and practical recommendations.
  • Support business owners in adopting recommendations and measuring results, while business owners retain accountability for adoption and operational decisions.
  • Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production integration, automated monitoring, or custom development when needed.
  • Participate in analytical, model, and code reviews; document work and share statistical methods, domain insights, and reusable practices

 

 

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Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.