Patterns

Low-code data modeling and orchestration --- a new kind of data OS

Growth Data Science

$120k - $160k / 0.25% - 1.00%
Location
San Francisco, CA
Job Type
Full-time
Experience
3+ years
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Chris Stanley
Chris Stanley
Founder

About the role

For more about us - www.getbasis.com

What working with us is like

We're a small team based in San Francisco with a few colleagues remote around the world. We have a hybrid office culture with 2 days a week at home and 3 in our Financial District office, SF. We will hire talented people regardless of location, but we prefer candidates in the SF Bay Area or willing to relocate.

What we're looking for

  • A developer or data scientist with a growth product mindset
  • 5+ years experience implementing business data science solutions for tech companies
  • A knack for knowing how to use data to solve business problems - from data collection to insight to solution implementation
  • Knows the market. You can empathize with all of the ways different personas interact with data. From solo-preneurs operating Zapier Zaps to enterprise Snowflake instances
  • Knowing what, how, and when to implement predictive analytics
  • Someone with creative pursuits, bloggers, academics, aspiring data journalists, open-source contributors
  • Master level Python + SQL

Your responsibilities

  • Solve industry data problems problems at scale by building use cases for the Basis ecosystem
  • Customers - Interact with customers, learn their problems, implement solutions for them in Basis
  • Product - contribute to core product discussion and help drive our roadmap. Suggest product feature to help with distribution and growth.
  • Community - help us prioritize our community strategy. Be an active participate in data science forums, contribute to our own Slack/Reddit/Discord etc.
  • Blogging + Content + SEO
    • Help establish Basis as an authoritative analytics company.
    • Contribute to our blog with engaging technical content covering a variety of subjects, such as — describing a use case for Basis, an analysis of an open dataset, an explanation of a new data partners capabilities, etc.
    • Help with performance tracking and technical implementation

What we can offer

  • As an early hire, a substantial equity package
  • An opportunity to move into a management position and scale yourself or continue to contribute through writing code (if desired)
  • Competitive cash pay
  • All of the standard benefits

Why you should join Patterns

Patterns is a new type of data operating system that encourages rapid prototyping, creative problem solving, and sharing of solutions to everyday data problems.

It lets users integrate their data sources, build clean data models, and then analyze and automate their entire business on one platform, all powered by open-source Python and SQL components that can be forked and customized.

Instead of providing a specific solution to a narrow type of problem, Patterns provides building blocks that can be used to solve any data problem.

These building blocks are a complete toolkit that abstract over cloud infrastructure to provide a set of primitives that developers can use to build powerful applications, without the pain of managing the underlying infrastructure.

We combine this powerful toolkit with a web-based IDE so that you can prototype and deploy production applications from a single tool — removing friction, improving accessibility, and spawning collaboration so that everyone on the data team is a stakeholder.

Patterns
Founded:2021
Team Size:7
Location:San Francisco
Founders
Chris Stanley
Chris Stanley
Founder
Ken Van Haren
Ken Van Haren
Founder