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    Senior Manager, Data Science - San Francisco, CA, United States - Checkr, Inc.

    Checkr, Inc.
    Checkr, Inc. San Francisco, CA, United States

    1 week ago

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    Description

    Established in 2014 and valued at $5B, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping thousands of companies like Uber, Instacart, Netflix, Compass Group, and Adecco to hire great new people with an experience that's fast, smooth, and safe.

    As the Senior Manager of Data Science & Product Analytics at Checkr, you will manage the team responsible for data science, product analytics, and customer analytics.

    In addition, you will interface with data organizations in other departments, most frequently the RevOps, CorpEng/BI teams, and finance teams.

    You will own both internal and customer-facing data use cases, be a thought partner to the business, understand strategic goals, and then use your skills and subject matter expertise to surface impactful insights that drive business decisions.

    Manage the Data Science and Product Analytics functions.
    Create strong partnerships with Product, Engineering, RevOps, BI, finance teams, and more.
    Partner with product leadership to influence business strategy through data-driven decision-making

    Collaborate with cross-functional teams to identify new growth opportunities, develop data requirements, establish critical metrics, and evangelize data products.

    Design, deploy, and evaluate experiments that help define opportunities for higher adoption, improved business performance, and better customer experience.

    Research new technologies and methods across data science and data engineering to improve the technical capabilities of the team.

    Communicate insights to senior leaders by distilling complex analysis and concepts into concise business-focused takeaways.
    Foster an action-bias culture for product innovation and delivery, high performance, transparency, and continuous improvement.
    Build a diverse, equitable, inclusive culture that helps all members feel like they belong.
    Hire, retain, and scale a world-class data science and analytics team.
    Demonstrated success in building and leading experimentation and growth initiatives
    ~ Experience with driving successful platform adoption programs, with the ability to demonstrate the business impact of such initiatives
    ~ Data-driven mindset: you know that everything built must be measured to understand its impact on the business and drive your teams to build with that in mind
    ~ this can be understood both through data as well as qualitative discussions with customers
    ~ Experience defining and scaling modern products (API, self-service, UX first products)
    ~ 5+ years of experience leading, growing, and retaining a high-performance data science and/or product analytics team

    100% medical, dental, and vision coverage
    ~ Up to $25K reimbursement for fertility, adoption, and parental planning services
    ~ Flexible PTO policy
    ~ Monthly wellness stipend, home office stipend

    Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week.

    In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

    If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion.

    For more information on our compensation philosophy, see our website .
    The base salary range for this role is $244,868 to $331,292 in San Francisco, CA.
    Checkr believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

    Checkr's commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance .

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