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Staff Data Scientist
Staff Data ScientistPatreon • San Francisco, CA, United States
Staff Data Scientist

Staff Data Scientist

Patreon • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Join to apply for the Staff Data Scientist role at Patreon

Join to apply for the Staff Data Scientist role at Patreon

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their communities and build a lasting business including : paid memberships, free memberships, community chats, live experiences, and selling to fans directly with one-time purchases.

Ultimately our goal is simple : fund the creative class. And we're leaders in that space, with :

  • $8 billion+ in revenue generated since Patreon's inception
  • 60 million+ free new memberships for fans who may not be ready to pay just yet, and
  • 10 million+ fans paying each month for exclusive access to creators' work and community.

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Data Scientist to support our mission.

This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model.

About The Role

  • You’ll work in lock step with your cross-functional team to build product features that help creators improve their membership monetization.
  • You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products.
  • You'll translate data into actionable insights and communicate your technical work to the data team, your cross-functional partners, executive leadership, and the rest of the company.
  • You’ll be a cultural and technical leader on the data science team.
  • About You

  • Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  • You have a wealth of experience helping product teams make great decisions with data.
  • You are an experimentation expert and possess a very strong statistical inference skillset.
  • You have solid analytical thinking. You ask the right questions and strive to see beyond the numbers to understand what an analysis represents in terms of real-world applications.
  • You have experience making tradeoffs between speed and accuracy.
  • You are a SQL expert and have experience in Python or R to perform statistical analyses.
  • You have a track record of building strong relationships with product, engineering, research, and design teammates.
  • You have a growth mindset and aspire to continuously improve your soft and technical skills.
  • You are an expert communicator with a love for clarity and simplicity.
  • About Patreon

    Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts :

  • Put Creators First | They’re the reason we’re here. When creators win, we win.
  • Build with Craft | We sign our name to every deliverable, just like the creators we serve.
  • Make it Happen | We don’t quit. We learn and deliver.
  • Win Together | We grow as individuals. We win as a team.
  • We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.

    Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.

    Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.

    Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.

    At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.

    The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.

    Patreon reserves the right to modify or update compensation and benefits at any time.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Technology, Information and Internet

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    Staff Data Scientist • San Francisco, CA, United States

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