description the newly formed clinical products data science team helps supercharge cvsaetnas clinical programs to improve member health and lower costs given cvsaetnas size scope and deep set of capacities cvsaetna is an unparalleled platform to make a difference in healthcare in the us and beyond the clinical products team has three main goals first cvsaetna is launching a series of clinical programs that use the resources of the combined cvsaetna and our team delivers the advanced analytics to support those initiatives second the team develops datadriven clinical recommendations that are delivered to members their providers and their caregivers finally we build conditionspecific models that help other parts of the company eg pricing better predict member care journeys the principal data scientist will join the newly formed clinical products team and will be responsible for leading and providing technical vision for one or more likely more projects the role will build lead a team that develops predictive models works with clinical experts eg doctors to translate their subject matter expertise into machine learning models sources data and presents to technical and nontechnical stakeholders as a principal data scientist you will also lead and mentor team members finally the role will need to help set the teams coherent actionable and inspiring technical visionand she will need to inspire the team to execute on that vision we are a new team and we are looking for candidates who embrace the explorer mindset of asking questions iterating quickly being comfortable pivoting intelligently and moving fast63248 fundamental components lead team of 23 data scientists to develop and deliver models that inform cvsaetnas clinical programs consults with business partners and clinical leaders to understand problems and goals understand business value and translate into business opportunities to be captured through predictive analytics solutions develops andor uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes demonstrates superior communication skills and ability to develop and participate in presentations and consultations to business stakeholders on analytics results and solutions supports deployment of insights across multiple channels ie web mobile app email social call center apple watch motivates team members and probes into technical detail contributes subject matter expertise sme through interactions with team members peers and managers to exchange complex information related to areas of specialization mentors others and champions 360feedback across team background experience 710 or more years of progressively complex related experience demonstrates proficiency in all areas of mathematical analysis methods machine learning statistical analyses and predictive modeling and advanced indepth specialization in some areas solid understanding of health care industry products and systems deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources strong skills to effectively communicate and negotiate across the business and in the external health care environment demonstrates strong ability to communicate technical concepts and implications to business partners strong organizational management and leadership skills excellent analytical and problem solving skills comprehensive knowledge of