Sr Data Scientist

Technical & Solution Leadership Own and lead endtoend AI/ML solution architecture for multiple Medicare Risk Adjustment initiatives spanning predictive modeling, NLP, GenAI, and operational analytics. Define analytics and AI strategy for assigned problem areas, ensuring scalability, robustness, regulatory compliance, and measurable business impact. Drive design decisions across data ingestion, feature engineering, model selection, evaluation, deployment, and monitoring. Establish and enforce engineering, modeling, and MLOps best practices across data science solutions. Advanced AI / ML & GenAI Innovation Lead development of advanced ML, deep learning, and LLMbased solutions (e.g., clinical reasoning, evidence extraction, summarization, coding intelligence). Evaluate and operationalize emerging AI approaches (agentic workflows, hybrid ML + rules, LLM orchestration, model ensembles). Ensure responsible AI usage-model explainability, bias monitoring, auditability, and CMS compliance. People & Capability Leadership Lead, mentor, and coach senior and junior data scientists, building strong technical depth and domain expertise within the team. Set technical direction, conduct design reviews, and guide complex problem solving. Support hiring, onboarding, and performance development for data science talent. Stakeholder Partnership & Executive Influence Act as a primary AI/ML advisor to senior business, clinical, and technology leaders. Translate complex analytics outcomes into clear, executivelevel insights, risks, and recommendations. Partner with product, engineering, and operations teams to ensure successful adoption and downstream impact of AI solutions. Platform & Innovation Drive adoption of cloud-native, bigdata, and MLOps frameworks across Python, Spark, Hive, Databricks, and cloud platforms. Own model lifecycle management, including versioning, performance tracking, drift detection, and continuous improvement. Ensure solutions meet enterprise standards for reliability, security, and scalability.

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Required Skills & Experience
- Education Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field from a reputed institution.
- Experience Around 3 years+ of experience in Data Science, AI/ML, or Advanced Analytics. Demonstrated experience leading complex, productiongrade AI/ML systems at scale.
- Prior experience mentoring or leading data scientists (formal or informal).
- Core Technical Expertise Expert proficiency in Python and PySpark.
- Deep handson experience with Spark, Hive, distributed data processing, and cloud platforms. --Strong command of ML algorithms, ensemble methods, and advanced feature engineering.
- Proven handson experience with deep learning frameworks (PyTorch and/or TensorFlow).
- Strong working knowledge of LLMs and Generative AI, including prompt design, orchestration, and evaluation.
- NLP & Healthcare Analytics Extensive experience with NLP/NLU (NER, summarization, classification, entity extraction), preferably on clinical or healthcare data.
- Strong understanding of statistical modeling, experimentation, and model validation.
- Leadership & Professional Skills Proven ability to drive ambiguity to clarity and own outcomes.
- Strong executive communication and storytelling skills.
- Ability to balance handson technical depth with strategic leadership.
- Demonstrated ownership mindset with high accountability and bias for action.
- Domain Expertise (Strongly Preferred)
- Deep understanding of Medicare Risk Adjustment and CMS programs.
- Handson experience with CMS datasets (MMR, MOR, EDPS, Encounter data).
- Experience working with clinical, coding, or claims data in healthcare environments.


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.