Lead Data Scientist

Title: Lead Data Scientist
Location: Houston, TX / Remote within approved states
Job Type: Full-Time, Direct Hire
Salary: $143,000 – $180,000 per year
Work Setting: Remote (only to these States: Georgia, Louisiana, Oklahoma, Tennessee & Texas)
Travel: Up to 20%

About HV Talent Group
At HV Talent Group, we help talented professionals connect with top employers nationwide. As a trusted recruiting partner to industry-leading companies, we focus on direct-hire placements that align with your career goals, values, and long-term growth.

About the Role
We are seeking an experienced Lead Data Scientist to join a healthcare-focused organization and lead the analysis of complex, structured and unstructured data. This role will use advanced statistical methods, predictive modeling, machine learning, and data visualization to solve complex business problems and provide actionable insights to leadership and stakeholders.

The Lead Data Scientist will work closely with cross-functional teams, lead high-priority projects, develop and maintain data models and algorithms, and translate complex findings into clear recommendations for both technical and non-technical audiences.

This is an excellent opportunity for a data science professional who enjoys solving challenging problems, working with large and complex datasets, and using data to influence business and operational decisions.

Key Responsibilities

• Lead high-priority and complex data science projects that impact organizational decision-making.
• Develop custom data models, algorithms, and analytical solutions for business needs.
• Perform research, analysis, predictive modeling, data mining, visualization, and pattern analysis.
• Develop and test hypotheses and communicate findings in a clear, actionable manner.
• Apply advanced statistical and machine learning techniques, including regression, clustering, forecasting, A/B testing, and statistical testing.
• Analyze structured and unstructured data from large, complex, and sometimes incomplete sources.
• Evaluate existing models and assess their accuracy and effectiveness.
• Identify and resolve data quality and data process issues while improving efficiency, scalability, and productivity.
• Partner with business and technical teams to gather requirements and identify opportunities where data science can improve operations.
• Present analytical findings and recommendations to stakeholders, including senior and executive-level leadership.
• Provide technical guidance, coaching, and mentoring to other data scientists and team members.
• Assist with the evaluation of data science tools, technologies, vendors, and solutions.
• Manage multiple projects and competing priorities while maintaining high-quality deliverables and deadlines.
• Translate complex technical information and analytical results into meaningful business insights.
• Perform other duties as assigned.

Minimum Qualifications

• Bachelor’s degree or higher in Science, Engineering, Computer Science, Mathematics, Statistics, Data Science, or a related STEM field.
• 7+ years of professional data science experience.
• Strong programming and statistical analysis skills.
• Advanced knowledge of SQL and database management.
• Strong understanding of machine learning techniques and their practical applications, including clustering, decision trees, artificial neural networks, and predictive modeling.
• Strong knowledge of advanced statistical concepts and methods, including regression, statistical testing, distributions, forecasting, and A/B testing.
• Experience working with large, complex, and incomplete datasets.
• Strong analytical reasoning, problem-solving, and decision-making abilities.
• Ability to communicate complex analytical findings to both technical and non-technical audiences.
• Strong presentation skills and comfort presenting insights to senior and executive-level leadership.
• Ability to work independently with minimal supervision in a fast-paced, multidisciplinary environment.
• Strong project management skills and ability to manage multiple priorities.

Preferred Qualifications

• Master’s degree in Data Science or a related field.
• Experience working in a hospital, healthcare, medical informatics, healthcare IT, healthcare finance/revenue cycle, or EHR data environment.
• Experience applying data science to healthcare operations or business challenges.
• Experience mentoring or providing technical guidance to other data scientists.

What We're Looking For
The ideal candidate is a highly analytical and technically strong data scientist who can go beyond analyzing numbers and translate data into meaningful business insights. You should be comfortable working with stakeholders at different levels of an organization, presenting findings to senior leaders, and turning complex information into clear, actionable recommendations.

Strong communication, critical thinking, curiosity, and a structured approach to problem-solving are essential for success in this role.

Compensation & Benefits

• Salary: $143,000 – $180,000 annually
• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Retirement Benefits
• Equity Benefits
• Paid Time Off
• Work From Home / Remote Work

Remote Work Eligibility
This position offers remote work for candidates located in the following states:

• Georgia
• Louisiana
• Oklahoma
• Tennessee
• Texas

**Some visa sponsorship opportunities may be supported.

Why Join?
You’ll have the opportunity to apply advanced data science and technology to meaningful challenges within the healthcare environment. The organization supports professional growth, collaboration, mentorship, and the development of innovative solutions that can have a direct impact on operations and the communities served.
If you're ready to use your data science expertise to solve complex problems and influence important decisions, we'd like to hear from you

Disclaimer: This job description is intended to provide a general overview of the responsibilities and requirements of the position. It is not an exhaustive list of all duties, responsibilities, and skills required. The company reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.

Equal Employment Opportunity: is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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Note: The information provided in this job description is subject to change without notice. Please refer to the latest version of the job description available on our website for the most up-to-date information.

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