Data Scientist (AI, Big Data, SQL, Python) - REMOTE
Data Scientist (AI, Big Data, SQL, Python) - REMOTE
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1 Vacancy
Job Description
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 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 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.
Employment Type
Full-time
