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    Staff Data Scientist - Remote, United States - Clover Health

    Clover Health
    Clover Health Remote, United States

    2 weeks ago

    Default job background
    Full time
    Description

    Staff Data Scientist

    Clover is reinventing health insurance by working to keep people healthy.

    Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, "I helped make that person's life better."

    We're looking for a Staff Data Scientist to help us build a revolutionary new health care company.

    As a Staff Data Scientist you will:

    • Ensure the health of a business function using data science techniques
    • Solve simple problems simply, while bringing in state of the art techniques to solve more challenging problems, in a way that optimizes for business impact.
    • Ship production-quality code and data models.
    • Bring in patterns and frameworks that accelerate the teams' ability to ship data science work where they're useful.
    • Materially improve the Clover product at large by dramatically improving outcomes in an area.
    • Be a trusted spokesperson, advocate and resident scientist for a critical body of data science work.
    • Establish a high-bandwidth, effective feedback loop with stakeholders to ensure that area work delivers on its objectives.
    • Within the team, be a mentor and teacher who materially improves others' ability to deliver.

    You will love this job if you:

    • You want to create impact with your work by finding insights in the data that unlock value and improve outcomes.
    • You are excited to unlock new areas for data science work.
    • You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.
    • You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
    • You are comfortable acting autonomously in ambiguous and dynamic environments.
    • You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
    • You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisions into the systems you build.
    • You have just as much interest in helping other people move faster as you do building your own analyses.

    You should get in touch if you:

    • Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages
    • Have demonstrated success mapping business goals to data solutions and delivered substantial business value with technical work, especially strategically through the lifecycle of the business
    • Can proactively manage project scope, and actively look for fast-path solutions to prove out your ideas and more complex solutions when justifiable
    • Have experience and a passion for working with messy data
    • Have opened new opportunities for data science or have unblocked new business areas with data science
    • Have expanded the data science toolkit in ways that significantly change the velocity, quality, or scope of data science work.
    • Want to understand the company's open problems and processes and are comfortable in matching your expertise to the work that needs to be done.
    • Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience

    A reasonable estimate of the base salary range for this role is $189 to $306k. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant's education, work experience, certifications, etc.

    #LI-Remote

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