Data Scientist (AI, Big Data, SQL, Python)
Posted 6 days ago by 1756366711
Negotiable
Outside
Remote
USA
Summary: The role of Data Scientist focuses on leading data initiatives within audit and governance functions, emphasizing the architecture of scalable data pipelines and the translation of complex datasets into actionable insights. The position requires building user-friendly tools for non-technical users and involves responsibilities such as data collection, exploratory analysis, model building, and communication of insights. A background in healthcare is preferred, along with expertise in statistics, computer science, and AI-driven solutions. The ideal candidate will possess strong programming skills and familiarity with big data tools.
Key Responsibilities:
- Data Collection & Cleaning - Gather and clean data from various sources.
- Exploratory Data Analysis (EDA) - Explore data to understand patterns and trends.
- Model Building - Build predictive models using machine learning algorithms.
- Interpretation & Communication - Translate complex results into actionable insights for stakeholders.
- Deployment & Monitoring - Help deploy models into production systems and monitor performance.
Key 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
- Advanced SQL and Python for analytics, ETL, and automation
- Data modeling, warehousing, and pipeline orchestration
- Dashboarding and reproducible analytics
- Healthcare data familiarity and regulatory contexts
- Data security, privacy, and compliance best practices
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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:
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.