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Remote Weekends Only Remote Jobs in Coon Rapids, MN

Medix

Remote Radiology Scheduler

Minneapolis, MN · On-site +1

$17 - $22/hr

Must be able to work any 8-hour shift during daytime CST hours and be open to weekend shifts About the Role We are partnering with a well-known and respected physician group to hire a Remote ...

Lone Star Careers

Remote Sales Executive

Minneapolis, MN · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission Only This position offers flexible work hours and clear paths for advancement into leadership and management. You will work remotely ...

Lone Star Careers

Remote Insurance Agent

Minneapolis, MN · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission Only This position offers flexible work hours and clear paths for advancement into leadership and management. You will work remotely ...

Lone Star Careers

Remote Sales Rep

Minneapolis, MN · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission Only This position offers flexible work hours and clear paths for advancement into leadership and management. You will work remotely ...

Lone Star Careers

Remote Sales Agent

Minneapolis, MN · Remote

$69K/yr

Remote Insurance Representative | Flexible Schedule | Commission Only This position offers flexible work hours and clear paths for advancement into leadership and management. You will work remotely ...

Dutch

Virtual Care Veterinarian (Remote)

Minneapolis, MN · On-site +1

$50 - $80/hr

Remote-only - No commuting, no clinics, no shifts * Pay per consult - Average $50-$80/hour ... weekend availability. You'll be supported by our Clinical Director, Vet Support team, and a ...

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Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 9 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.