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Remote Weekends Only Remote Jobs in Saint Paul, 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 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 ...

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 ...

Ascent Placement Partners

Be Seen First

Remote Software Engineer - Technical Advisor

Minneapolis, MN · Remote

$150/hr

Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly Asynchronous We are seeking software engineers in a remote capacity to fill code review and evaluation ...

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

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 10 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.