Lead Data Scientist
Signify Technology · United States
- Hybrid
- Full-time
- $190,000 / year
- United States
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Job highlights
- Lead data science and AI strategy for healthcare technology.
- Deliver end-to-end AI/ML solutions and data-driven insights.
- Design and implement NLP and forecasting models.
- Mentor junior data scientists and analysts.
- Collaborate with cross-functional teams on data initiatives.
About the role
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
- 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.
Job 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).
Preferred Qualifications
- 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.
Benefits
- 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
Accessibility Statement
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Key skills/competency
- Data Science Lead
- AI/ML
- Python
- NLP
- SQL
- Power BI
- Healthcare Technology
- Data Governance
- LLMs
- MLOps
Skills & topics
- Data Science Lead
- Data Science
- AI
- Machine Learning
- Python
- NLP
- SQL
- Power BI
- Healthcare Technology
- Remote
How to get hired
- Tailor your resume: Highlight your 5+ years of data science experience, Python proficiency, SQL skills, and any regulated industry work.
- Showcase AI/ML expertise: Emphasize your experience with production ML/AI deployments, NLP pipelines, and forecasting models.
- Quantify achievements: Use data to demonstrate the impact of your past data science projects and leadership contributions.
- Prepare for technical interviews: Be ready to discuss your approach to problem framing, model design, and data governance.
- Highlight communication skills: Demonstrate your ability to explain complex analytical findings to non-technical stakeholders.
Technical preparation
Practice Python data science libraries (pandas, scikit-learn).,Build sample NLP pipelines and forecasting models.,Write complex SQL queries for data manipulation.,Develop Power BI reports and data models.
Behavioral questions
Describe a complex data problem you solved.,How do you mentor junior data scientists?,Explain an AI/ML project to non-technical people.,How do you align data science with business goals?
Frequently asked questions
- What is the salary range for the Data Science Lead role at Signify Technology?
- The Data Science Lead position at Signify Technology offers a competitive annual salary range of $180,000 to $200,000, reflecting the senior nature and responsibilities of the role.
- Is this a remote position for the Data Science Lead role?
- Yes, the Data Science Lead position is a fully remote role within the US, allowing for flexibility in your work location.
- Does Signify Technology provide visa sponsorship for the Data Science Lead position?
- No, Signify Technology does not provide visa sponsorship for this role. Candidates must have full US Work Authorization.
- What are the primary responsibilities of the Data Science Lead?
- The Data Science Lead will define and drive the AI roadmap, lead end-to-end ML/AI solution delivery, design NLP pipelines, build predictive models, and mentor junior team members.
- What technical skills are most important for the Data Science Lead role?
- Key technical skills include strong Python proficiency (pandas, scikit-learn, NLP libraries), SQL, experience with NLP pipelines, forecasting models, and BI tools like Power BI. Familiarity with LLMs and cloud platforms is preferred.
- What kind of experience is required for the Data Science Lead position?
- A minimum of 5 years of experience in data science or analytics, including production ML/AI deployments, is required. Experience in regulated industries like healthcare or finance is also essential.
- Are there opportunities for career growth in this Data Science Lead role?
- This role offers significant opportunities for growth as a senior individual contributor and team lead, driving AI strategy and mentoring others within a forward-thinking healthcare technology organization.
- What is the preferred experience for the Data Science Lead role?
- Preferred experience includes 7+ years in data science, team leadership, experience with LLMs/RAG, cloud ML platforms (GCP, AWS, Azure), MLOps, and familiarity with clinical data standards.