Vice President of Data Science

Company: Vital Data Technology
Location: Newport Beach
Posted on: August 6, 2022

Job Description:

Vital Data Technology - is a data science-driven health care solutions company. Payers, providers, and members are empowered to drive efficiencies and improve clinical and financial outcomes throughout the health care ecosystem with our proprietary artificial intelligence-enabled platform, Affinit-----. Affinit-- represents a single platform to eliminate data, systems, and stakeholder silos by aligning departments and participants to transform data into actionable insights. Fueled by the most advanced data science and analytics, Affinit-- enables health plans to increase operational efficiencies, lower operating costs, and improve the overall quality of health for their members.We're a dynamic team of seasoned professionals with extensive experience in the healthcare technology space. Our mission is to develop intelligent SaaS solutions that align plans, providers, and members.About the Role:We're growing and looking to add a senior member of the team to continue to build on the great work we have started. This position will play a critical role in our AI / ML strategy - driving insights and actionable data. This is an exceptional opportunity to partner with key senior stakeholders and customers to identify evolving business needs that can be addressed with data science and advanced analytics, frame problems into analytic questions, and translate analytics into business value. This pivotal role will lead a team of data scientists by helping design, scope, and deliver predictive models and other data science-related projects.We're seeking professionals passionate about pioneering insights into healthcare delivery and coordination. We're committed to making our client partners successful and are looking for like-minded seasoned professionals committed to delivering a world-class data science result.The company values people who are creative problem solvers and "out-of-the-box" thinkers. The ideal candidate can thrive in a fast-moving, innovative company and who appreciates a casual and collaborative environment.Responsibilities:

• Lead a team of data scientists to explore and evaluate the landscape of data, tools, and cutting-edge techniques to build predictive models (including machine learning and NLP) in a well-governed manner.
• Develop rich insights and data visualizations to communicate ideas to customers or company leaders.
• Own and manage our Data Science practice and project management for initiatives undertaken by the data science team.
• Develop, validate and deploy solutions in an efficient, sustainable, and repeatable manner.
• Build, motivate and mentor a team of data scientists to grow their skills and careers.
• Represent the data science group to the rest of the organization and to our clients. Success in this area relies on your ability to communicate complex (and sometimes foreign) concepts in ways that laypersons can understand and participate in the process.
• Augment the data science team on an as-needed basis by getting "hands-on".
• Promote collaboration, creativity, and agility.
• Foster an environment that causes the data science staff to want to be at work
• Champion an unwavering commitment to the overall success of the organization and our client partners.
• Build relationships within Vital Data and the external data science community to continue attracting and developing top-tier talent.Requirements:
  • Ph.D. or MD with 8+ years of experience in data analytics or master's degree plus 10+ years of experience in data analytics.
  • At least 5years of experience in open-source programming languages for large-scale data analysis and modeling.
  • At least 5 years of experience developing & implementing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, or Bayesian methods.
  • Proficient with Microsoft Office - Word, Excel, PowerPoint, Outlook, SharePoint.
  • Willingness and the ability to travel are required.Preferred Skills:
    • 10+ years of experience with relational databases.
    • Experience with common data science toolkits, such as R, Jupyter, NumPy, etc.
    • Expert-level familiarity with data science and statistical modeling (e.g., Python, R, Stark, and equivalent)Attributes of The Ideal Candidate:
      • A Technical Expert- You have hands-on experience developing data science solutions, from concept to production, and selecting the right tool for the job at hand. You understand modern cloud computing. You have experience prototyping and implementing data science solutions in an enterprise.
      • Innovative and Well Managed- You continually research and evaluate emerging technologies. You stay current on published state-of-the-art algorithms and models. You obsess over model risk and governance. Fundamentally, you disrupt and deliver a better way.
      • A Product Leader- You develop and implement models that the business will seamlessly automate and integrate into decision-making.
      • A People Leader- You lead by example. You are a role model for your team.
      • A Communicator: You communicate complex ideas clearly internally to your team and externally to customers.
      • Knows how to achieve organizational excellence throughout all functions of an organization.Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
        Vital Data Technology is an Equal Opportunity Employer. We consider applicants for all positions without discrimination based on race, color, religion, creed, gender, national origin, sexual orientation, age, marital or veteran status, disability, or any other legally protected status. What's your citizenship / employment eligibility?* LinkedIn Profile URL:* The following questions are entirely optional. To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more .

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