高级数据科学家 - 网络价值（Plaid App）
Senior Data Scientist - Network Value (Plaid App)
我们相信，人们与财务的互动方式将在未来几年发生巨大变化。我们致力于通过构建数千名开发者用来创建自己产品的工具和体验，推动这一变革。Plaid 为数以百万计的人提供他们依赖的工具，帮助他们过上更健康的财务生活。我们与 Venmo、SoFi、多家财富 500 强公司以及许多大型银行合作，让人们能够轻松地将财务账户连接到他们想要使用的应用和服务。Plaid 的网络覆盖美国、加拿大、英国和欧洲的 12,000 家金融机构。公司成立于 2013 年，总部位于旧金山，在纽约、西雅图、华盛顿特区、罗利、伦敦和阿姆斯特丹设有办事处。
高级数据科学家 - 网络价值（Plaid App）
网络价值数据科学团队正在帮助 Plaid 构建行业领先的金融科技消费者网络，打造一流的产品和用户体验。我们是一个嵌入 Plaid 关键产品领域的产品分析团队。我们支持 Plaid 最重要的 OKR，并帮助执行产品路线图。我们将模糊的产品问题转化为可操作的分析，作为整个组织的分析思想伙伴，发现改进产品的机遇，并在我们所到之处倡导以数据为先的决策方式。
你将作为高级数据科学家，支持 Plaid App，这是 Plaid 网络价值产品组合中的一个关键用户界面产品。在这个职位中，你将成为产品经理和工程师的数据和分析思想伙伴，帮助推动数据驱动的产品开发，随着团队从零开始推出并扩展该产品。你将把业务问题转化为分析项目，进行临时和战略分析，通过数据建模和仪表板提高对核心系统的可见性，制定与业务目标相关的 OKR 和指标，并通过实验支持功能发布决策。你还将帮助识别 Plaid App 新的方式，以提升收入指标，并影响跨职能合作伙伴的优先级、路线规划和执行。
职责
- 在 Plaid App 构建和扩展过程中，倡导以数据为先的决策方式，作为产品经理、工程师和跨职能利益相关者的数据和分析思想伙伴。
- 将模糊的业务和产品问题转化为可操作的分析。
查看英文原文
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, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
SENIOR DATA SCIENTIST - NETWORK VALUE (PLAID APP)
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 Senior Data Scientist supporting Plaid App, a critical user-facing product within Plaid’s Network Value portfolio. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development as the team launches and scales the product from 0 to 1. 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 and metrics tied to business goals, and support feature ship decisions through experimentation. You’ll also help identify new ways Plaid App can move top-line outcomes and influence prioritization, roadmapping, and execution across cross-functional partners.
RESPONSIBILITIES
- Champion a data-first approach to decision-making across the organization as Plaid App is built and scaled, serving as the data and analytical thought partner to product managers, engineers, and cross-functional stakeholders.
- Translate ambiguous business and product questions into clear analytics projects and decision frameworks, and perform ad-hoc and strategic analyses to identify opportunities to improve user outcomes and business performance.
- Build and maintain data models, dashboards, core metrics, OKRs, and success metrics that improve visibility into Guard performance and quantify progress against business goals.
- Design and analyze experiments to support feature launch and iteration decisions, and partner on Airflow- and dbt-powered data pipelines that enable trustworthy analytics and scalable reporting.
- Identify novel ways to impact top-line OKRs and influence stakeholders on prioritization, roadmapping, and execution, while exploring ML prototypes and causal inference approaches where they can improve product or decision quality.
QUALIFICATIONS
- 5-8+ years of experience as a Data Scientist or in a related analytics or data-focused role
- Fintech experience, including experience working with raw fintech data
- Experience launching direct-to-consumer products from 0 to 1
- Experience with experimentation, ad-hoc analysis, and developing strategic insights
- Strong SQL skills and experience creating metrics that drive alignment with stakeholders
- Experience building or partnering closely on data pipelines using 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
- Experience with causal inference
- Experience with machine learning
- Python proficiency
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 https://plaid.com/legal/#candidate-privacy-notice.
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.