The Role
As a Senior Data Scientist, you will apply quantitative analysis and machine learning to drive business impact, build models, and influence product decisions. You will also help shape the data science roadmap at Plaid, fostering a data-first approach across the organization.
Summary Generated by Built In
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.
Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork
You’ll be a machine learning engineer as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!
If you’re excited about building state-of-the-art data and machine learning solutions that help unlock financial freedom for everyone, we’d love to hear from you!
Responsibilities
- Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights
- Identifying useful signals that can be fed into machine learning models
- Informing and influencing product and engineering teams through your data analysis and presentations
- Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
- Championing a data-first approach toward decision-making across the entire organization
Qualifications
- 5-10 years years of industry experience in a financial services machine learning engineer or data scientist role
- Deep familiarity with SQL and python
- Experiencing constructing models in a regulated industry
- Familiarity with the AWS stack
- Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing
- Proven ability to tailor your solutions to business problems in a cross-functional team
- Ability to code and iterate independently in Python to conduct exploratory data analysis
- 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 [email protected].
Please review our Candidate Privacy Notice here.
Top Skills
AWS
Python
SQL
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The Company
What We Do
Plaid is used by thousands of digital financial apps and services like Betterment, Expensify, Microsoft and Venmo, and by many of the largest banks to make it easy for consumers to connect their financial accounts with the apps and services they want to use. Plaid connects with over 11,000 financial institutions across the U.S, Canada and Europe.
At Plaid, we have diverse backgrounds and skills, but we're all passionate about building a more efficient and inclusive financial infrastructure—together.
