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

Codetech • Minneapolis, MN

19h • Remote

About The Position

The Data Scientist will serve as a centralized data leader for audit and governance functions. The role involves architecting scalable, secure, and compliant data pipelines; translating complex datasets into actionable insights for regulatory and operational decisions; and building intuitive, low-maintenance tools that empower non-technical users across the PA experience.

The position covers the data science process from collecting and cleaning data through exploratory analysis, predictive model development, communicating findings, and, in some cases, deploying and monitoring models. A healthcare-specific background would be helpful. The candidate should bring experience spanning statistics, computer science, and domain expertise to support data-driven decisions and build and maintain AI-driven platforms and solutions.

Requirements

• Experience with programming in Python, R, and SQL.
• Knowledge of statistics and mathematics.
• Knowledge of machine learning and AI.
• Experience with data visualization tools such as Tableau and Power BI, or libraries such as Matplotlib and Seaborn.
• Experience with big data tools such as Spark and Hadoop for large-scale data.
• Power BI (listed as a basic qualification).

Nice To Haves

• Healthcare-specific background or familiarity with healthcare data, including claims, prior authorization (PA) and appeals, and pharmacy data.
• Advanced SQL and Python skills for analytics, ETL, and automation.
• Experience with data modeling, warehousing, and pipeline orchestration in a cloud-native stack.
• Experience with dashboarding using Power BI, Streamlit, or similar tools.
• Experience with reproducible analytics, versioning, and CI/CD.
• Familiarity with regulatory contexts, including CMS, NCQA, URAC, ERISA, and state rules.
• Knowledge of data security, privacy, and compliance best practices.

Responsibilities

• Collect data from various sources and clean it by removing errors, addressing missing values, and standardizing formats.
• Perform exploratory data analysis to identify patterns, trends, and relationships using statistical techniques and visualizations.
• Build predictive models using machine learning algorithms to forecast outcomes or classify data.
• Interpret complex results and communicate actionable insights to stakeholders through reports, dashboards, or presentations.
• Help deploy models into production systems and monitor their performance over time, where applicable.
• Architect scalable, secure, compliant data pipelines.
• Build and maintain AI-driven platforms and solutions.
• Create intuitive, low-maintenance tools for non-technical users across the PA experience.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed