Data Scientist Lead

• Lead data mining, data extraction, and advanced analytics activities to derive business insights.
• Apply machine learning, artificial intelligence, and statistical modeling techniques to solve business problems.
• Drive the proliferation and adoption of AI and ML solutions across the enterprise.
• Develop analytical models and scalable AI solutions aligned with business goals and operational constraints.
• Translate business priorities into actionable data science deliverables and solutions.
• Synthesize analytical findings and present insights to senior executives and cross-functional teams.
• Lead implementation of ML/AI/Data Science best practices for new data products and platforms.
• Mentor and develop junior data scientists and analytics team members.
• Collaborate with analytics, business units, and technical teams to support enterprise initiatives.
• Support provider data analysis and interactions with claims systems and platforms.
• Ensure scalability, operationalization, and performance optimization of analytical models and solutions.
• Work effectively with remote and cross-functional teams to deliver project objectives.

• Minimum 8 years of relevant work experience required.
• Strong experience with provider data, provider data accuracy, and provider data interactions with claims and claims platforms required.
• Knowledge of Salesforce and Facets required.
• Expertise in statistical modeling, machine learning, artificial intelligence, and data mining required.
• Strong proficiency in advanced SQL across multiple syntaxes required.
• Experience leading analytics and AI initiatives required.
• Strong communication and stakeholder management skills required., * Previous experience reporting to leadership teams preferred.
• Experience working remotely with distributed teams preferred.
• Experience in healthcare analytics or claims-related environments preferred.
• Knowledge of AI/ML operationalization and scalable data products preferred.

Skills:

• Expertise in machine learning and artificial intelligence required.
• Strong statistical modeling and data analysis skills required.
• Advanced SQL querying and optimization skills required.
• Experience with data science tools and frameworks required.
• Strong analytical and problem-solving skills required.
• Knowledge of model evaluation, tuning, operationalization, and scalability required.
• Excellent verbal and written communication skills required.
• Leadership, mentoring, and stakeholder management skills required.

Qualification and Education:

• Bachelor s degree in Statistics, Mathematics, Computer Science, or related field required.
• Instead of a Bachelor s degree, an additional 4 years of relevant work experience may be considered.
• Advanced degree preferred.