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    Senior Data Scientist, Product Growth - San Francisco, CA, United States - Pinecone Systems, Inc

    Pinecone Systems, Inc
    Pinecone Systems, Inc San Francisco, CA, United States

    4 weeks ago

    Default job background
    Description
    Location: San Francisco or NYC About Pinecone: Pinecone is on a mission to build the search and database technology to power AI applications for the next decade and beyond. Our fully managed vector database makes it easy to add vector search to AI applications. Since creating the "vector database" category, demand has grown incredibly fast and it shows in our user base. We are a distributed team with clusters in New York, San Francisco, Tel-Aviv, and Manchester. About the Role: Pinecone is seeking a skilled and highly motivated Senior Data Scientist to build out foundational Product Growth metrics, exploratory analytics, and forecasting . As part of the Data org you will collaborate with cross-functional teams to develop and deliver conversion funnel metrics, cohort and segment analysis, and user and workload classifications to help understand our user base and how they use Pinecone to inform and evaluate Product development and launches. You will work in a fast-paced and rewarding environment that demands the highest quality work with minimal supervision. And as we all do a little bit of everything, you will also be a strong generalist, work directly with executive leadership, and mentor new data engineers and scientists. In this role, you will:
    • Partner with Product, Engineering, and Design teams to help drive insights, identify opportunities, and understand user behavior and long-term trends
    • Define, understand, and test opportunities and levers for growth, and drive roadmaps through your insights and recommendations
    • Perform deep dive analysis to understand and optimize the key levers for growth
    • Define and monitor key metrics through consistent tracking, KPI's, and dashboards
    • Proactively socialize insights, dashboards, and reports with technical and non-technical audiences
    • Collaborate with data and engineering teams to design scalable and future-proof instrumentation
    Requirements:
    • You have 5+ years previous experience as a data scientist, data analyst, or data engineer, preferably within a Growth org
    • You have the ability to translate raw data into meaningful business insights and be able to tell a story with data
    • You have strong knowledge of statistics and experimental design
    • You possess a natural curiosity and strive to uncover the deeper relationships that are not always immediately discoverable
    • You have experience writing and optimizing complex SQL queries for large data sets and are familiar with a scientific programming language, such as R or Python
    • You are an excellent storyteller and able to communicate your findings with clarity and precision, whether through writing or visualizations
    Perks & Benefits:
    • Comprehensive health coverage including medical, dental, vision, and mental health resources
    • 401(k) Plan
    • Equity award
    • Flexible time off
    • Paid parental leave
    • Annual Company Retreat
    • WFH Equipment Stipend
    Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don't believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
    #J-18808-Ljbffr
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