Senior Data Scientist

Senior Data Scientist (AI/ML)

Location: 100% Remote (Must reside in approved states)

Schedule: 8:30 AM – 5:00 PM (Local Time)

Type: Contract, 5-6 months with possible extension

Position Overview

We are seeking a Senior Data Scientist to design, develop, and deploy advanced machine learning and AI solutions that drive business impact across healthcare-focused domains. This role will focus heavily on building predictive models, implementing agentic AI workflows, and leveraging modern techniques such as retrieval-augmented generation (RAG) to enhance model performance and decision-making capabilities.

Key Responsibilities

• Analyze complex datasets to extract actionable insights and support strategic decision-making
• Design, develop, and train machine learning models (supervised, unsupervised, deep learning, reinforcement learning)
• Build and implement agentic AI workflows for autonomous task execution
• Apply RAG (Retrieval-Augmented Generation) techniques to improve AI model outputs
• Fine-tune pre-trained models for domain-specific performance optimization
• Perform data cleaning, preprocessing, and validation to ensure data quality
• Deploy and monitor AI/ML models in production environments
• Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI solutions
• Support business initiatives such as improving star ratings, reducing care gaps, and enhancing operational efficiency
• Present complex analytical findings to both technical and non-technical stakeholders
• Mentor junior data scientists and support project delivery
• Stay current on AI/ML advancements and apply emerging techniques

Required Qualifications

• 6+ years of experience as a Data Scientist (healthcare experience preferred)
• Strong programming skills in Python and/or R
• Experience with ML frameworks (TensorFlow, Keras, PyTorch)
• Solid understanding of statistical modeling and ML algorithms (k-NN, SVM, Naive Bayes, neural networks)
• Experience with Agentic AI workflows and autonomous systems
• Hands-on experience with RAG techniques
• Experience fine-tuning machine learning models
• Strong data handling skills (SQL, NoSQL, ETL, data warehousing)
• Experience with big data tools (Hadoop, Spark)
• Familiarity with SDLC and data engineering concepts
• Strong analytical, problem-solving, and critical thinking skills
• Ability to work with unstructured data and complex problem spaces
• PhD OR equivalent advanced experience

Preferred Qualifications

• Experience with cloud platforms (Databricks, Snowflake, Azure AI Studio)
• Background in NLP and/or computer vision
• Experience with data visualization tools (Tableau, Power BI)