Lead Data Scientist - Healthcare

Job Description Lead Data Scientist - Hybrid - C2H Location: Columbia, MD (Hybrid) Employment Type: W2 Basis (Contract to Full Time) Purpose Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems using numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers, educating on AI, ML, and statistical models. Leads interactions between analytics, business units, and other departments. Must have previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms. Knowledge of Salesforce and Facets is required. Previous demonstrable experience with reporting to leadership and working remotely with teams is preferred. Essential Functions • 20% - Leads all data mining and extraction activities and applies algorithms to derive insights. • 15% - Synthesizes analytical findings for consumption by teams and senior executives. • 15% - Leads proliferation of machine learning and artificial intelligence solutions. • 15% - Applies AI techniques to achieve concrete business goals while managing limited resources and constraints around data. • 15% - Mentors and develops junior data scientists for advanced data analysis. • 10% - Translates business priorities and creates data science deliverables. • 10% - Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software. Qualifications Education Level: Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field. Experience: 8 years of relevant work experience. In Lieu of Education: In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. Preferred Qualifications Knowledge, Skills, and Abilities (KSAs): • Ability to communicate effectively and document objectives and procedures (Expert). • Ability to leverage a wide variety of data science tools and frameworks (Expert). • Ability to support data exploration and data analysis tasks in support of analytics objectives (Expert). • Knowledge in model evaluation, tuning, performance, operationalization, and scalability of scientific techniques (Expert). • Proficiency in statistical modeling applications (Expert). • Proficiency in advanced SQL in multiple syntaxes (Expert). Additional Requirements: Must immediately disclose any debarment, exclusion, or other event making them ineligible to perform work on Federal health care programs. Must work effectively in a fast-paced environment with changing priorities and deadlines. Must handle multiple customer service demands and provide positive customer service. Contact: Mail - arjun.vaisyaraju@kmmtechnologies.com