Data Science Lead
Salary:
$180,000 - $200,000 - Per Annum
Locations:
US Remote, United States
Type:
Permanent
Workplace:
Remote
Published:
May 27, 2026
Contact:
Robert Gwillim
Ref:
20704
Required Skills:
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Job title: Data Science Lead
Job type: Permanent
Salary: $180,000 - $200,000
Role Location: US, Remote
Visa requirements: Full US Work Authorization (no sponsorship provided)
The company: 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.
Role and responsibilities: The Data Science Lead serves as the technical and analytical authority for our client’s data science practice. This is a senior individual contributor and team lead role responsible for driving AI/ML strategy, delivering data-driven solutions, and elevating the analytical capability of the wider team.
Key responsibilities include:
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Job type: Permanent
Salary: $180,000 - $200,000
Role Location: US, Remote
Visa requirements: Full US Work Authorization (no sponsorship provided)
The company: 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.
Role and responsibilities: The Data Science Lead serves as the technical and analytical authority for our client’s data science practice. This is a senior individual contributor and team lead role responsible for driving AI/ML strategy, delivering data-driven solutions, and elevating the analytical capability of the wider team.
Key responsibilities include:
- 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.
- 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).
- 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.
- 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
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
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