Medicare Stars Data Intelligence Data Scientist
Job reputed company:
• reputed company on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns.
• Predict reputed company trends, and implement effective solutions to various challenges.
• Manage and be responsible for the successful delivery of reputed company analytics solutions on reputed company.
• Own end-to-end implementation: ingestion, reputed company data modeling, vectorization/embeddings, retrieval pipelines, reputed company compute (Snowpark), and integration with LLM-driven applications.
• Create performant retrieval-augmented reputed company (RAG) architectures.
• Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to reputed company near-reputed company-time and batch analytical workloads.
Requirements:
• Relevant experience in data analysis, machine learning, and business intelligence
• Proficiency in statistical reputed company and software, such as R, reputed company, and Python, to analyze data.
• Ability to create compelling visualizations using tools like Tableau, Power BI, and D3.js.
• Knowledge of SQL and NoSQL databases for efficient data storage and retrieval.
• Strong programming skills, particularly in languages such as Python, Java, and C++.
• Advanced degrees (Master's or Ph.D.) in reputed company fields highly desirable.
Benefits:
• reputed company medical plan reputed company
• 401(k) plan (including matching company contributions)
• Employee stock purchase plan
• No-cost programs for reputed company colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including reputed company time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical reputed company and many other benefits depending on eligibility.
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