Formativ Health

  • Data Scientist

    Job ID
    2018-23089
    Employment Type
    full-time
  • Overview

    As a key partner to the Vice President, Product Strategy, the Data Scientist will inventory and assess internal, customer and healthcare industry data to measure Formativ’s impact in areas like patient loyalty and satisfaction, scheduling, and cost. This key team member will establish metrics and benchmarks to measure customer success, and will build a network-wide reporting capability to enable real-time visibility into operational, product and customer performance. The Data Scientist will work closely alongside Formativ’s Patient Access Services Operations, Implementations, Customer Success, Sales, Marketing and Product teams to drive ongoing strategic product development decisions, and to ensure operational excellence both internally and for Formativ-served patients and providers.

     

    Location: Boston, Atlanta or Jacksonville preferred

    Responsibilities

    • Inventory Formativ’s patient touchpoint and interaction data across internal systems (Avaya, AWS, Salesforce, etc.) to identify all available and relevant data sets
    • Assess healthcare industry data and trends to identify metrics most critical for physician customer performance, and build benchmarks around customer operational success
    • Establish and standardize metrics for internal and customer success across Formativ’s suite of patient access and engagement technology-enabled services
    • Build scorecards and KPIs to measure customer performance, and alert product teams of overall health of the product
    • Provide relevant data for Formativ operations and customer success teams in establishing improvement plans for lagging scorecard metrics
    • Guide and support ongoing internal and external reporting needs, alongside existing quality and reporting teams
    • Develop and manage strong, collaborative relationships with key stakeholders in Technology, Product, and Commercial teams as needed to drive customer success
    • Develop unique insights from the Formativ network to publish for external consumption via sales, marketing, internal/external blog posts and other outlets
    • Establish and operationalize Formativ’s Network Operations Centers (NOCs) to visualize and monitor network and client performance
    • Serve as Formativ’s resident expert in all things related to Big Data, Machine Learning (ML) and Natural Language Processing (NLP), and work cross-functionally to help teams adopt relevant tools and methodologies to enhance Formativ’s services

    Qualifications

    • Bachelor’s Degree required
    • 5+ years of experience in data analytics or data science
    • Strong understanding of big data technologies such as Spark, Hadoop, etc.
    • Working knowledge of software programs for statistical analyses and data visualization, including SQL Server, R, Python, Tableau, Power BI, Looker, etc.
    • Ability to aggregate, synthesize, and prepare data into digestible and actionable formats and reports to effectively drive strategic product development and customer performance decisions
    • Excellent verbal and written communication skills and comfort presenting to leadership and other key stakeholders
    • Strong track record working cross-functionally, and with external stakeholders to execute on strategic priorities
    • Experience and comfort working in an agile development organization
    • Strong project management abilities
    • Experience with AWS and/or Salesforce
    • Willingness to travel to travel (likely no more than 25%)

    Preferred Skills

    • Bachelor’s Degree in quantitative discipline preferred

    About Formativ Health

    At Formativ Health we believe in empowering physicians to focus on patient care. Through our partnership, hospitals and health systems are able to improve efficiency, increase revenue, and better focus on the health and satisfaction of the patients they treat.

    Formativ is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, age, veteran status, disability, national origin, sex, sexual orientation, religion, gender identity or any other federal, state or local protected class.

     

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