Senior Data Scientist

Machine Learning And Artificial Intelligence LeadLeads 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.Essential Functions:Leads all data mining and extraction activities and applies algorithms to derive insights.Synthesizes analytical findings for consumption by the teams and senior executives.Leads proliferation of machine learning and artificial intelligence solutions.Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.Mentors and develops junior data scientists for advanced data analysis.Translates business priorities and creates data science deliverables.Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.Qualifications:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Education Level: Bachelor's DegreeEducation Details: Statistics, Mathematics, Computer Science or related fieldExperience: 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:Ability to communicate effectively and document objectives and procedures. Ability to leverage a wide variety of data science tools and frameworks. Ability to support data exploration and data analysis tasks in support of analytics objectives. Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques. Proficiency in statistical modeling applications. Proficiency in advanced SQL in multiple syntaxes.EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.