Senior Data Scientist

Job Title: Sr. Data Scientist Location: Remote Duration: 3 months + possible to extent Sr. Data Scientist only - no Principal Scientists Ph D is preferred, but not required Must have Agentic AI experience Must have Cloud experience Must have AI Engineering and Integration experience Description: Job Description: CANDIDATES MUST LIVE IN ONE OF THE PREFFERED 15 STATES (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY (outside greater-NYC), OH, TX, UT, WA (outside greater-Seattle), WI); WILL BE ABLE TO WORK IN THEIR OWN TIMEZONE TYPICAL SCHEDULE WILL BE 830AM TO 5PM LOCAL TIME EXPECTED TEMP TO HIRE ROLE BASED ON PERFORMANCE Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions. Job Duties Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities. RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs. Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies. Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. Mentors, coaches, and provides guidance to newer data scientists. Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate Must Have Skills: 6+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered Knowledge of big data technologies (e.g., Hadoop, Spark) Familiar with relational database concepts, and SDLC concepts Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations. RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. PREFERRED EXPERIENCE: Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models. Familiarity with natural language processing (NLP) and computer vision techniques. REQUIRED EXPERIENCE: PHD or additional experience