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About the Role
As a Data Scientist supporting Plaid's Credit product area, you will be an analytical thought partner to product managers, engineers, and stakeholders. Your work will shape Credit product strategy, enhance product performance and user experience, and contribute to the growth of Plaid's consumer network. You will translate business questions into analytics projects, conduct analyses, build data models and dashboards, define OKRs and KPIs, and support feature decisions through experimentation. You will utilize tools such as SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow.
Responsibilities
- Champion a data-first approach to decision-making across Plaid.
- Partner closely with product managers, engineers, and other stakeholders to define problems, shape product strategy, and execute against roadmaps.
- Translate ambiguous business and product questions into clear analytics projects, decision frameworks, and measurable outcomes.
- Perform ad-hoc and strategic analyses that identify opportunities to improve product performance, user experiences, and business results.
- Build and maintain data models, dashboards, core metrics, OKRs, and KPIs that improve visibility into Credit’s systems and quantify progress against goals.
- Design and analyze experiments that inform feature launches, iteration, and ship decisions.
- Partner on dbt- and Airflow-powered data pipelines and use SQL, Python, Redshift, Databricks, and notebooks to create reliable, scalable analytics.
- Identify novel ways to influence top-line OKRs and help stakeholders make thoughtful prioritization, roadmapping, and execution decisions.
- Shape Credit product strategy, improve product performance and user experience, and contribute to growth of Plaid’s consumer network.
Requirements
- 5–8+ years of experience as a Data Scientist or in a related analytics or data-focused role.
- Experience as a product data scientist helping grow an early-stage or consumer-facing product, ideally from 0 to 1.
- Experience with experimentation, ad-hoc analysis, and strategic insight generation in a product environment.
- Strong SQL skills and experience creating metrics that drive alignment and decision-making with stakeholders.
- Experience driving data-informed performance improvements for user-facing products.
- Experience building or partnering closely on data pipelines using tools such as Airflow and dbt.
- A track record of identifying novel ways to impact a top-line OKR and influencing stakeholders on prioritization, roadmapping, and/or execution.
- Strong communication skills and the ability to explain analytical methods, tradeoffs, and recommendations to product managers, engineers, and other cross-functional partners.
Skills
- SQL
- Python
- Redshift
- Databricks
- dbt
- Airflow
- Experimentation
- Ad-hoc analysis
- Strategic insight generation
- Data modeling
- Dashboarding
- OKRs
- KPIs
- Causal inference
- Machine learning
Location
- San Francisco
- New York
- Seattle
- Washington D.C.
- Raleigh
- London
- Amsterdam
Work Type
- Full-time
Experience Level
- Senior
Benefits
- Medical
- Dental
- Vision
- 401(k)
About the Company
- Plaid empowers the transformation of how people interact with their finances by building tools and experiences for developers. Their network covers 12,000 financial institutions across the US, Canada, UK and Europe, powering tools used by millions for a healthier financial life. Founded in 2013, Plaid works with thousands of companies, including major banks and Fortune 500 companies.
- 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!
Equal Opportunity
- 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.