drjobs Data Scientist (AI, Big Data, SQL, Python)| REMOTE

Data Scientist (AI, Big Data, SQL, Python)| REMOTE

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1 Vacancy
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Job Location drjobs

Minneapolis, MN - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

100% Telecommute

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 lowmaintenance tools that empower nontechnical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure its 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:

  • 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 (cloudnative 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.

Required Skills : PowerBI

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No

Employment Type

Full-time

Company Industry

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