Experienced Data Scientist - Network Insights

We believe that 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 experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

The Data Science team is responsible for serving Plaid’s product analytics, experimentation and modeling needs. Data scientists can either work on projects internal to the Data Science team or be embedded in teams across the Plaid organization, to enable and accelerate those teams’ data science efforts.

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 the team design experiments and design experiments and running in-depth follow up analyses, and supporting, educating, and providing guidance to teams on their product decisions.

In this role, you will be joining the Network Enablement and Access (NEA) team, which is focused on working with our Data Providers to strengthen Plaid’s network and enable great products and experiences. You will collaborate with Product and Engineering to understand Plaid’s network, the current relationships with FIs, and to develop product offerings that will enable a two-way value exchange.

Responsibilities

• Working closely with product teams to identify important questions and answer them with data.
• Communicating analyses and data-backed recommendations to stakeholders
• Championing a data-first approach toward decision-making across the entire organization
• 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
  
  

Qaulifications

• 5+ years of industry experience in a Product Data Science role
• Extensive experience working with funnel conversion and other projects that yielded conversion rate wins
• Deep understanding of various statistical techniques and experimentation analysis workflows
• Strong familiarity with SQL, data visualization tools, and working knowledge of Python
• Prior experience building core data models (preferably using DBT) from scratch
• Ability to collaborating closely with Engineers to diagnose and triage data lineage
• 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
  
  

$155,520 - $232,300 a year

Target base salary for this role is between $155,520 and $232,300 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

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 accommodations@plaid.com.

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