Sr. Data Scientist

Machine Learning And Artificial Intelligence Lead

Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various 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 and educates on artificial intelligence, machine learning, 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.

20% Leads all data mining and extraction activities and applies algorithms to derive insights. 15% Synthesizes analytical findings for consumption by the teams and senior executives. 15% Leads proliferation of machine learning and artificial intelligence solutions. 15% Applies artificial intelligence 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.

Education Level: Bachelor's Degree

Education Details: 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.

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 and performance, operationalization, and scalability of scientific techniques. Expert Proficiency in statistical modeling applications. Expert Proficiency in advanced SQL in multiple syntaxes. Expert

EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."