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Data Science Lead

United States 180000.00 - 200000.00 USD / Year · Job Posted May 28, 2026
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Job Description

Our client is a forward-thinking organization in the healthcare/technology sector focused on leveraging data, AI, and advanced analytics to drive operational excellence and innovation. They are seeking a Data Science Lead to strengthen their data science practice and deliver high-impact AI/ML solutions.

Job Responsibility

  • Defining and driving the data science and AI roadmap, aligning model development priorities with business objectives and product strategy.
  • Leading end-to-end delivery of ML and AI solutions — from problem framing, data discovery, and model design through validation, deployment, and performance monitoring.
  • Translating ambiguous business problems into well-scoped data science workstreams, identifying quick wins alongside longer-term strategic initiatives.
  • Designing and implementing NLP pipelines for use cases such as entity extraction, semantic mapping, classification, and retrieval-augmented generation (RAG).
  • Building and maintaining forecasting and predictive models to support operational and strategic decision-making.
  • Conducting current-state assessments of data architecture, sources, and quality
  • defining future-state data models and governance standards.
  • Partnering closely with Product, Engineering, and business stakeholders to clarify requirements and define measurable success criteria.
  • Mentoring data analysts and junior data scientists, and driving a culture of continuous learning and responsible AI.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field (or equivalent professional experience).
  • 5+ years of experience in data science, data analytics, or a related discipline, including production ML/AI deployments.
  • Strong proficiency in Python for data science workflows, including pandas, scikit-learn, and NLP libraries (e.g., spaCy, Hugging Face Transformers).
  • Proven experience designing and delivering NLP pipelines and/or forecasting models in a business context.
  • Solid command of SQL for data querying, transformation, and analysis.
  • Experience with BI and reporting tools, particularly Power BI (including data modeling and DAX).
  • Demonstrated ability to communicate analytical findings clearly to non-technical stakeholders.
  • Experience working in regulated industries (healthcare, finance, or similar) with understanding of compliance and data governance requirements (e.g., HIPAA, GDPR).
  • Full US Work Authorization (no sponsorship provided)

Nice to have

  • 7+ years of data science or analytics experience, including a team lead or principal contributor role.
  • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • Familiarity with cloud-based ML platforms (GCP, AWS, or Azure) and MLOps practices.
  • Working knowledge of process optimization frameworks such as Lean Six Sigma.
  • Exposure to clinical data standards or health data interoperability.
  • PL-300 Power BI Data Analyst certification is a plus.

What we offer

  • Comprehensive Medical, Dental and Vision Plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Wellness Incentive
  • Employee Assistance Program (EAP)
  • Paid Time Off & Holidays
  • 401(k) Retirement Plan Matching
  • Group Term Life and AD&D Insurance
  • Short-Term and Long-Term Disability Insurance

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