Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required
Skills
Python
SQL
Data Security
Power BI
R
Tableau
Data Scientist
Machine Learning & AI
Big Data Tools: Spark
Hadoop
Healthcare data familiarity - Must
Job Details
Job Title: Data Scientist (AI, Big Data, SQL, Python) - 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.