Data Scientist Lead

Job Overview:

Pay Range: $75.98hr - $80.98hr

Requirement/Must Have: • 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.

Responsibilities: • 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.

Should Have: • 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.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.