Data Scientist (AI, Big Data, SQL, Python)| REMOTESoftware Technology Inc • United States
Data Scientist (AI, Big Data, SQL, Python)| REMOTE
Software Technology Inc
- United States
- United States
À propos
100% Telecommute 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. Required Skills: PowerBI
Compétences linguistiques
- English
Avis aux utilisateurs
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