Lead Data Scientist - Remote

Lead Data Scientist Remote

Location: Remote - candidates must reside in Georgia, Louisiana, Oklahoma, Tennessee, or Texas
Salary: $108,000 $136,000/year
Employment Type: Full-Time
Travel: Up to 20%
Visa Sponsorship: Some sponsorship may be available
Relocation: Not provided

Position Overview

We are seeking an experienced Lead Data Scientist to lead complex data science initiatives and deliver advanced analytics that support data-driven business decisions within a large healthcare organization.

The ideal candidate will have strong expertise in machine learning, statistical modeling, SQL, predictive analytics, and data visualization, along with the ability to translate complex analytical findings into clear, actionable recommendations for both technical and executive stakeholders.

Key Responsibilities

• Lead high-priority and complex data science projects that impact organizational strategy and operations.
• Analyze structured, unstructured, large, and incomplete datasets using advanced statistical and analytical techniques.
• Develop and maintain custom data models, algorithms, and predictive models.
• Apply machine learning techniques including clustering, decision trees, neural networks, regression, and other advanced methodologies.
• Perform statistical analysis, hypothesis testing, forecasting, pattern analysis, and data mining.
• Evaluate model performance and goodness of fit.
• Identify and resolve complex data-quality and data-management issues.
• Partner with cross-functional teams to gather requirements and define analytical solutions.
• Translate complex data and analytical results into clear, actionable insights for business and leadership teams.
• Present findings to technical, non-technical, and executive-level stakeholders.
• Provide technical leadership, coaching, and mentorship to other data scientists.
• Support evaluation of data science vendors, tools, and technologies.
• Manage multiple projects independently while meeting deadlines and business objectives.

Required Qualifications

• Bachelor's degree or higher in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field.
• 7+ years of data science experience.
• Strong experience with advanced statistical techniques and machine learning.
• Advanced SQL/database management skills.
• Strong programming and statistical analysis skills.
• Experience with data science project lifecycle and model development.
• Experience working with large, complex, and incomplete datasets.
• Strong analytical reasoning, problem-solving, and decision-making abilities.
• Excellent written and verbal communication skills.
• Ability to translate complex analytical findings into meaningful business recommendations.
• Comfortable presenting data insights to senior and executive-level leadership.
• Strong project management skills and ability to work independently with minimal supervision.

Preferred Qualifications

• Experience within a hospital or healthcare environment.
• Experience with medical informatics, EHR data, healthcare IT, finance, or revenue-cycle data.
• Master's degree in Data Science.
• Experience developing predictive models and advanced analytics for healthcare/business operations.

Core Technical Skills

Machine Learning:
Clustering | Decision Trees | Neural Networks | Regression | Predictive Modeling

Statistics & Analytics:
Time-Series Forecasting | A/B Testing | Statistical Testing | Data Mining | Pattern Analysis

Data & Programming:
SQL | Database Management | Programming | Statistical Analysis Tools

Data Storytelling:
Data Visualization | Executive Presentations | Business Insights | Stakeholder Communication

Compensation & Benefits

• $108,000 $136,000 annual salary
• Medical, dental, and vision insurance
• Life insurance
• Retirement benefits
• Paid time off
• Remote work options

Interview Process

1. Initial Interview
2. Technical Interview
3. Presentation to Leadership
4. Senior Leadership Interview

Recruiter Sourcing Tips Best Candidate Profiles

Prioritize candidates coming from:

• Healthcare data science
• Health systems / hospitals
• Healthcare IT
• EHR analytics
• Medical informatics
• Healthcare finance/revenue cycle analytics
• Large enterprise data science teams
• Analytics/consulting organizations

Target Titles

• Lead Data Scientist
• Senior Data Scientist
• Principal Data Scientist
• Data Science Lead
• Senior Machine Learning Scientist
• Senior Machine Learning Engineer
• Healthcare Data Scientist
• Clinical Data Scientist
• Healthcare Analytics Lead
• Principal Analytics Consultant

Must-Screen Skills

Search for candidates with a combination of:

7+ years Data Science + SQL + Machine Learning + Advanced Statistics + Predictive Modeling + Programming + Executive Presentation/Communication

Healthcare/EHR experience should be treated as a strong differentiator, since the description identifies it as preferred rather than mandatory.

Important Screening Questions

1. How many years of professional data science experience do you have?
2. Which machine learning techniques have you used in production?
3. How strong is your hands-on SQL/database experience?
4. Can you describe a complex predictive or statistical model you developed?
5. Have you worked with healthcare, EHR, medical informatics, or healthcare financial data?
6. How do you communicate complex analytical findings to executive/non-technical stakeholders?
7. Have you presented directly to C-level or senior leadership?
8. Have you led or mentored other data scientists?
9. What programming languages and statistical/data science tools do you use?
10. Can you provide an example where your analysis directly influenced a business or operational decision?

Key recruiter note: Do not screen solely for technical data science skills. The role places significant emphasis on leadership, stakeholder management, executive communication, and the ability to translate complex analytics into actionable business insights.