Plaid의 Network Value 팀에서 데이터 과학자를 채용합니다. SQL 및 데이터 파이프라인(Airflow, dbt) 역량을 바탕으로 제품 성장을 위한 분석과 실험 설계를 주도할 분을 찾습니다. 5~8년 이상의 경력이 필요하며, 제품 관리자와 협업하여 데이터 기반의 의사결정을 이끄는 핵심 역할을 수행하게 됩니다.
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 Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go.
You’ll be a Data Scientist supporting Remember Me. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development for a critical user-facing product. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs quantifying progress against business goals, support feature ship decisions through experimentation, and build ML prototypes and causal inference models. Your work will directly support Conversion and Remember Me Enrolled Profile OKRs and help Plaid grow the size and depth of its Consumer Network.
Champion a data-first approach toward decision-making across the entire organization
Become the data and analytical thought partner to product managers and engineers
Translate business questions into analytics projects
Perform ad-hoc and strategic analyses to identify opportunities for improved outcomes and support business decisions
Build data models and dashboards to improve visibility into core systems
Create OKRs quantifying progress against business goals
Design and analyze experiments to support feature ship decisions
Build ML prototypes and causal inference models
5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role
Experience with experimentation, ad-hoc analysis, and developing strategic insights
Strong SQL skills and experience creating metrics that drive alignment with stakeholders
Experience building data pipelines with Airflow and dbt
Strong communication skills and experience partnering cross-functionally with product managers, engineers, and other stakeholders
Experience driving data-driven performance for user-facing products
Track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution
Nice to have:
Fintech experience and experience working with raw fintech data
Experience with causal inference, machine learning, and Python
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.
Please review our Candidate Privacy Notice here.
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.
