Lead Data Scientist

Lead Data Scientist - Houston, TX

Our clients culture has consistently been recognized among the best, through shared values, a strong sense of purpose, and a commitment to innovation and they are committed to individual career growth and advancement.

If youre ready to follow your passion, grow your skills, and deliver at the highest level, apply to this great career opportunity.

Key Responsibilities

• Lead high-visibility projects with significant organizational impact.
• Manage and resolve complex issues, escalating when necessary.
• Provide technical mentorship and guidance to data scientists and broader teams, including training on emerging data science practices.
• Offer leadership and coaching to direct reports and junior staff.
• Design and implement custom algorithms and data models to support business objectives.
• Apply predictive analytics and modeling techniques to key performance indicators, delivering insights that drive decision-making and improve operations.
• Conduct research, advanced analysis, and modeling across varied organizational data.
• Maintain and refine existing models, ensuring accuracy and relevance.
• Deliver actionable insights from structured and unstructured data using predictive modeling, data mining, visualization, and pattern recognition.
• Formulate and test hypotheses, clearly communicating results to leadership and project teams.
• Collaborate with internal teams to diagnose and resolve data issues while improving efficiency, scalability, and productivity of data processes.
• Contribute to the evaluation and selection of data science tools and vendors.
• Uphold organizational policies, standards, and practices, ensuring safety, compliance, and cost efficiency.
• Support professional development by meeting continuing education requirements and mentoring less experienced team members.
• Demonstrate a strong commitment to compassionate, personalized, and high-quality service, aligning with organizational values.
• Perform additional duties as required.

Qualifications

• Minimum of 7 years of experience in data science.
• Background in healthcare environments such as hospitals, medical informatics, healthcare IT/finance, revenue cycle data, or Electronic Health Records (EHR) data management is strongly preferred.
• Strong foundation in business analysis (process design, workflows, modeling, spreadsheets, etc.), along with solid technical, mathematical, and architectural knowledge.
• Comprehensive understanding of machine learning methods (e.g., clustering, decision trees, neural networks), including practical knowledge of their strengths and limitations.
• Skilled in advanced statistics (regression, distribution properties, statistical testing, etc.) with proven application in real-world scenarios.
• Ability to translate data into clear stories and insights while gathering and communicating requirements effectively.
• Demonstrated expertise across the data science project lifecycle.
• Proficiency in programming and hands-on experience with statistical and analytical software tools.
• Strong problem-solving abilities, analytical thinking, and sound decision-making skills.
• Capable of independently researching, diagnosing, and resolving complex data quality issues using logical and creative approaches.
• Experience handling large, complex, and incomplete data sets.
• Effective project management skills, able to juggle multiple priorities while meeting tight deadlines.
• Advanced knowledge of SQL and database management systems.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to technical and non-technical audiences.
• Ability to work autonomously in a fast-paced, multidisciplinary environment.
• In-depth knowledge of data science techniques such as time series forecasting, regression modeling, clustering, statistical testing, and A/B experimentation.
• Strong client service orientation, with the ability to manage sensitive or challenging situations effectively.
• Skilled in troubleshooting and delivering clear recommendations.
• Adept at simplifying and presenting complex technical information to diverse stakeholders.

If you're ready to test your skills and advance your career then apply now!

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