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Senior Data Scientist

  • Senior Data Scientist job type Posted on: Nov 11, 2026
  • Senior Data Scientist experience level Staffingine LLC
  • Senior Data Scientist employment type Arden Hills, Minnesota
  • Senior Data Scientist employment type Onsite
  • Senior Data Scientist salary Full-time

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Job Title :

Senior Data Scientist

Job Type :

Full-Time

Job Location :

Arden Hills Minnesota United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Senior Data Scientist
Job Location: Arden Hills, MN
Job Type: Contract

Job Description:

Roles & Responsibilities

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.

Jobcon Logo Position Details

Posted:

Nov 11, 2026

Reference Number:

20044-34208

Employment:

Full-time

City:

Arden Hills

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Senior Data Scientist
Job Location: Arden Hills, MN
Job Type: Contract

Job Description:

Roles & Responsibilities

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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