高级数据科学家 - 嵌入式洞察
Senior Data Scientist - Embedded Insights
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赖以生存的更健康的财务生活工具。我们与 Venmo、SoFi、多家财富 500 强公司以及许多大型银行合作，使人们能够轻松地将他们的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
关于团队
在 Embedded Insights，我们为外部产品和内部系统寻找最佳的机器学习机会，并与跨职能合作伙伴协作，将它们实现。
我们是一个由机器学习工程师和数据科学家组成的中心团队。我们与合作伙伴团队紧密配合，构建和应用机器学习模型，以改善内部决策并增强 Plaid 产品套件。
关于职位
你将成为 Embedded Insights 团队的第一位数据科学家，属于 Plaid 的数据组织。你将建立支持多样化内部和外部产品的团队的分析和指标基础架构。
你将帮助推动更好的决策，支持机器学习模型开发，并直接为 Plaid 网络的健康状况和 Plaid 产品质量做出贡献。
你的日常任务包括：
- 分析 Plaid 网络中的实体，以了解行为并识别机会、异常和风险。
- 创建基础指标、仪表板和监控系统，以清晰展示网络健康状况和机器学习模型性能。
- 使用客户和内部数据评估机器学习模型的价值和性能。
- 识别改进现有模型的机会，并将发现转化为清晰、可操作的叙述，供产品和工程负责人参考。
- 设计实验，定义成功指标和限制条件，分析结果，并向利益相关者传达建议。
- 分析 Plaid 产品和客户数据，以识别产品改进和扩展的机会。
- 与跨职能团队合作
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.
ABOUT THE TEAM
At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life.
We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite.
ABOUT THE ROLE
You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products.
You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products.
Your day-to-day work will include:
- Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks.
- Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance.
- Evaluating the value and performance of machine learning models using customer and internal data.
- Identifying opportunities to improve existing models and translating findings into clear, actionable narratives for product and engineering leaders.
- Designing experiments, defining success metrics and guardrails, analyzing results, and communicating recommendations to stakeholders.
- Analyzing Plaid product and customer data to identify opportunities for product improvement and expansion.
- Partnering with cross-functional teams to build reliable data models and analytics workflows.
WHAT EXCITES YOU
- Applying quantitative analysis, data mining, and data visualization to help keep the Plaid network healthy and improve our product suite.
- Informing and influencing product and engineering teams through rigorous analysis, thoughtful presentations, and clear recommendations.
- Turning ambiguous business questions into structured analytical approaches and measurable outcomes.
- Helping shape long-term data science and machine learning roadmaps, including how teams iterate, evaluate, and make decisions.
- Establishing analytics practices and frameworks from the ground up as the team’s first Data Scientist.
- Championing a data-first approach to decision-making across Plaid.
WHAT EXCITES US
- 6+ years of industry experience in Data Science or a related analytics role.
- Deep familiarity with SQL and data visualization tools.
- Understanding of modern machine learning techniques, such as classification, clustering, and optimization.
- Experience evaluating model performance, identifying opportunities for improvement, and connecting technical results to business outcomes.
- Proven ability to tailor analytical solutions to business problems while working with cross-functional partners.
- Ability to code and iterate independently in Python, particularly for exploratory data analysis.
- Strong written and verbal communication skills, including the ability to explain analytical methods, tradeoffs, and recommendations to technical and non-technical audiences.
- Experience building or partnering on data pipelines using dbt or Airflow is a plus.
- Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.
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.