Lead Data Scientist – Healthcare Analytics Leader

Inabia Software & Consulting Inc.; Georgia; On-site; USD 140,000 - 190,000; Full time

Job summary

CoAction in Houston, TX seeks a Lead Data Scientist to drive advanced analytics initiatives, develop predictive models, and translate complex findings into actionable business recommendations for technical and non-technical stakeholders.

The role requires 7+ years in data science with strong SQL, Python, and ML expertise, mentoring to grow a high-performing team, and collaboration with cross-functional partners to improve operational outcomes.

Qualifications

• Bachelor’s degree in Science, Engineering, CS, Math, Statistics, or related STEM field.
• Master’s degree in Data Science preferred.
• 7+ years of professional experience in Data Science.
• Experience with healthcare data environments preferred.

Responsibilities

• Lead high-priority and complex data science projects that have a significant organizational impact.
• Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
• Develop custom data models, algorithms, and predictive solutions to address complex business problems.
• Apply machine learning and statistical models to key business metrics and operational challenges.
• Provide technical leadership, coaching, and mentoring to other data scientists.
• Train broader teams on data science methodologies and tools.
• Lead multiple projects simultaneously while managing competing priorities and deadlines.

Skills

Data science

Machine learning

Statistical analysis

SQL

Python

Data visualization

Education

Bachelor’s degree in Science/Engineering/CS

Master’s degree in Data Science

Tools

SQL

Python

R

Job description

CoAction in Houston, TX seeks a Lead Data Scientist to drive advanced analytics initiatives, develop predictive models, and translate complex findings into actionable business recommendations for technical and non-technical stakeholders.

The role requires 7+ years in data science with strong SQL, Python, and ML expertise, mentoring to grow a high-performing team, and collaboration with cross-functional partners to improve operational outcomes.