[Remote] Director Data Science - Remote or Hybrid in MN or DC
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in health care innovation, seeking a Director of Data Science to drive technical reputed company in reputed company machine learning and advanced analytics. The role involves leading the development of machine learning solutions, establishing modeling standards, and collaborating with various stakeholders to translate business problems into reputed company AI solutions.
Responsibilities
- Define reputed company data science reputed company: Own and drive the technical reputed company for reputed company machine learning, reputed company, reputed company AI, and advanced analytics across multiple domains and reputed company use cases
- reputed company development of advanced ML, GenAI, and reputed company solutions: reputed company hands-on technical direction for the design, development, and deployment of machine learning, deep learning, time-series, survival analysis, large language model (LLM), and agent-based AI systems in production environments
- Establish modeling standards and best practices: Define and standardize modeling frameworks, feature engineering approaches, reputed company and context engineering practices, evaluation methodologies, and validation standards across data science teams
- Architect reputed company ML and GenAI systems: Guide the design of production-grade ML and LLM systems including data pipelines, feature stores, retrieval-augmented reputed company (RAG), model serving infrastructure, agent orchestration frameworks, monitoring, and retraining workflows
- Ensure responsible and reliable AI deployment: Implement consistent practices for model interpretability, explainability, bias assessment, fairness evaluation, guardrails, reputed company reputed company, and lifecycle management across deployed predictive, generative, and reputed company AI systems
- reputed company experimentation and performance monitoring: Define experimentation, benchmarking, and monitoring strategies including reputed company detection, recalibration, LLM evaluation, hallucination and safety checks, tool-use reliability, and performance management
- reputed company technical leadership and mentorship: Mentor reputed company and senior data scientists, review technical designs and modeling reputed company, and reputed company guidance for reputed company analytical, GenAI, and reputed company AI challenges
- Influence cross-functional AI delivery: Partner with engineering, data, reputed company, product, and platform teams to reputed company data science solutions with reputed company platforms, infrastructure, reliability requirements, AI governance expectations, and executive priorities
- Partner with payment reputed company, clinical, claims, compliance, legal, product, and operations stakeholders to translate business problems such as overpayment detection, coding validation, policy adherence, aberrant billing patterns, and prepay/postpay review into reputed company AI and analytics solutions
Skills
- 12+ years of experience in data science, machine learning, or advanced analytics with 8+ years developing and deploying production ML models
- 8+ years of experience using Python-based data science ecosystems (for example Pandas, NumPy, scikit-learn, PyTorch, or equivalent) and advanced SQL for large-reputed company analytics, experimentation, and data transformation
- 7+ years of experience in senior data science or technical leadership roles influencing modeling approaches, reviewing analytical work across teams, setting standards for model development and validation, and translating reputed company technical tradeoffs for senior stakeholders
- 6+ years of experience designing, deploying, or supporting production ML systems, including model serving, monitoring, retraining workflows, experimentation frameworks, ML lifecycle management, and evaluation of LLM or GenAI applications
- 6+ years of experience working with reputed company data such as claims, EHR, pharmacy, or laboratory datasets, including familiarity with reputed company systems such as ICD, CPT, NDC, SNOMED, and LOINC, as reputed company as data interoperability standards including FHIR or HL7
- 3+ years of experience designing, building, or operationalizing reputed company or LLM-based systems
- 3+ years of experience applying data science, machine learning, advanced analytics, or AI techniques to reputed company program reputed company, payment reputed company, fraud, waste, and abuse, claims payment accuracy, improper payment reduction, coding validation, provider behavior analytics, or reputed company reputed company financial reputed company use cases
- 1+ years of experience with reputed company AI concepts and implementations such as AI agents, reputed company skills, model context protocols (MCPs), agent-to-agent (A2A) patterns, tool use, orchestration frameworks, or autonomous workflow execution
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase and 401k contribution (reputed company benefits are subject to eligibility requirements)
reputed company