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Data Scientist

Company: Grabango
Location: Berkeley
Posted on: August 6, 2022

Job Description:

Who we are:

Grabango is the leading provider of checkout-free shopper technology for existing stores. Founded by Will Glaser (former founder & CTO of Pandora Media), the Grabango team has developed the only enterprise class solution for large store chains in the market today.
Grabango has raised over $75 million in funding since 2017, with $39 million in Series B announced in June 2021. The round was led by Commerce Ventures with participation from Founders Fund, Unilever Ventures, Honeywell Ventures, Rich Products Ventures, and WIND Ventures. Grabango has signed five retail partners, each over $1 billion in revenue, including a global top-10 grocer and a Fortune-25 multinational. Several multi-store deployments are underway. The company has filed 40 patents, and the earliest ones that predate most prior art in the category have already been awarded.
We're a growing group of curious, self-directed people working towards a common goal. We delight in taking risks and testing hypotheses in a collaborative environment. Our ability to celebrate both our successes and failures as milestones of progress opens the door to tremendous breakthroughs.

About The Role
Grabango is passionate about using data to make better decisions that continually improve our product offerings. We are looking for a Data Scientist to lead the development of data products and solutions that will lead to an even better frictionless shopping experience. The ideal candidate should be technically strong and be able to and understand how their work ties to business outcomes. -
This full-time role reports to the Data Science Manager and is based in Berkeley, CA.
What You'll be Doing:

  • Develop novel models and algorithms supporting AI/CV models in complex, real-world settings and provide insights that will inform our understanding of these settings
  • Define, collect, and monitor relevant metrics for your models and algorithms
  • Architect data models for your algorithms that scale as Grabango increases - the number and type of frictionless checkout deployments
  • Work cross-functionally to chart the roadmap for internal data products

    What - You Should Have:

    • 3+ years of relevant experience developing statistical models
    • Strong mastery of R or Python
    • Excellent ability to translate complex, technical topics for non-technical audiences
    • Experienced with SQL -

      Education & Certifications:

      • Bachelor's Degree in a quantitative field, such as Statistics, Mathematics, Operations Research, or Engineering

        Grabango Values:
        Integrity: Do the right thing, particularly when you don't have to.
        Bold Innovation: Think recklessly, but temper your actions with pragmatism.
        People Matter: Hire the best, and treasure them.
        Don't Live with Broken: Have the courage to admit mistakes, and the urgency to correct them.
        Customer Focus: Deliver beyond expectations, both internally and externally.
        Inclusion: -Foster an environment that welcomes all.
        Simplify: Everything should be made as simple as possible, but not simpler.
        Grabango is proud to be an equal opportunity employer and is committed to developing a workplace where diversity and inclusion are an essential part of who we are. -We strive to hire and support a workforce as diverse as our shopper base, so we can develop products and services that best suit our customers. -We do not make employment decisions based on race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status and we comply with all local, state and federal employment laws. - - -
        Grabango participates in the E-Verify Program, an internet-based system operated by the Department of Homeland Security and the Social Security Administration. -It allows employers to confirm an individual's employment eligibility to work in the United States.

Keywords: Grabango, Berkeley , Data Scientist, Other , Berkeley, California

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