Data Scientist - Analytics

Plaid

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/26/2021
  • Website: plaid.com
  • Company Address: 85 2nd street, San Francisco, CA, 94105

About Plaid

Plaid is focused on democratizing financial services through technology. We build beautiful consumer experiences, developer-friendly infrastructure, and intelligent tools that give everyone the ability to create amazing products that solve big problems.

We started out by building the technical infrastructure APIs that connect consumers, traditional financial institutions, and developers. Today, we add key insights to the data access we provide with our suite of analytics products and one in four Americans with a bank account now uses Plaid.

Job Description

We believe the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and infrastructure developers need to create their own products. Today, thousands of companies such as Acorns, Stripe, and Venmo rely on Plaid to connect with the financial system; supporting millions of requests per day and thousands of bank integrations. Our goal is to give people more control over their finances and unlock financial freedom for everyone.
 
Making data driven decisions is key to Plaid's culture. To support that, we need a data science team that can apply their analytical skills to understand our users and influence decision making. This includes building and maintaining core data sets and metrics, helping teams like Developer Experience and Consumer Experience design experiments and running in-depth follow up analyses, and supporting, educating, and providing guidance to teams on their product decisions. 
 
We're guided by our principles, including impact, growing together, embracing openness and positivity, and inventing tomorrow; we're looking for people motivated by those same principles.

What excites you

  • Working closely with product teams to identify important questions and answer them with data
  • Designing and interpreting experiments to measure the impact of new features on Plaid
  • Defining core data sets and schemas, as well as visualizing and tracking key metrics
  • Running impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutions
  • Communicating analyses and data-backed recommendations to stakeholders
  • Championing a data-first approach toward decision-making across the entire organization
  • Mentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence

What excites us

  • 5+ years of industry experience in a Product Data Science role
  • Deep understanding of various statistical techniques and experimentation analysis workflows  
  • Strong familiarity with SQL, data visualization tools, and working knowledge of Python
  • Data engineering experience and data pipeline tooling (e.g. Airflow, Redshift) experience is a plus
  • Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field
 
 
Please review our Candidate Privacy Notice here.
 
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected].

Please review our Candidate Privacy Notice here.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.