Lead Data Scientist

HireVenture; Oklahoma City (OK); Remote; USD 143,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Retirement Benefits

Equity Benefits

Paid Time Off

Work From Home / Remote Work

Job summary

HireVenture seeks a Lead Data Scientist to lead advanced analytics initiatives for a healthcare-focused organization. The role emphasizes guiding cross-functional teams, building models, and delivering actionable insights to executives.

The ideal candidate has 7+ years in data science, strong SQL and ML skills, and a proven ability to translate complex findings into business impact. This is a senior, high-responsibility position with remote work options within approved states.

Qualifications

• Bachelor’s degree or higher in STEM fields.
• 7+ years of professional data science experience.
• Strong programming and statistical analysis skills.
• Advanced knowledge of SQL and database management.
• Experience with ML techniques including clustering, decision trees, neural networks, and predictive modeling.
• Experience with large, complex, incomplete datasets.
• Ability to communicate complex findings to technical and non-technical audiences.
• Strong presentation and project management skills.

Responsibilities

• Lead high-priority and complex data science projects that impact decision-making.
• Develop custom data models and analytical solutions for business needs.
• Perform research, predictive modeling, data mining, visualization, and pattern analysis.
• Communicate findings clearly to leadership.
• Apply ML techniques like regression, clustering, forecasting, and A/B testing.
• Analyze structured and unstructured data from large sources.
• Evaluate model accuracy and improve effectiveness.
• Collaborate with cross-functional teams to gather requirements.
• Present findings to stakeholders including senior leaders.
• Mentor other data scientists.
• Evaluate data science tools and vendors.
• Manage multiple projects with deadlines.
• Translate technical results into business insights.
• Perform other duties as assigned.

Skills

Data Science experience

SQL & databases

Machine learning

Statistical modeling

Data visualization

Communication skills

Project management

Presentation skills

Education

Bachelor's degree or higher

Master's degree preferred

Job description

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

• Georgia
• Louisiana
• Oklahoma
• Texas
• Tennessee

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.

Equal Employment Opportunity

HireVenture 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.