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, Salt Lake City, Washington D.C., London and Amsterdam. #LI-Remote
Making data driven decisions is key to Plaid’s culture. To support that, we need a data science team that can apply their analytical skills to understand our users and influence decision making. This includes: building and maintaining core data sets and metrics, helping the Core product engineering teams design experiments and running in-depth follow up analyses, and supporting, educating, and providing guidance to teams on their product decisions.
With this role, you will be joining the Personal Finance team, which is focused on building products that empower Plaid’s end users to understand and control the financial data they’ve shared in the fintech ecosystem. You will work collaboratively with Product and Engineering to understand how Plaid’s end users engage with Plaid’s products through data, providing insights to enable the team to translate insights into new products.
What excites you
Working closely with product teams to identify product opportunities and scale them with Machine Learning
Passionate about applying machine learning at scale to real-world problems
Championing a data-first approach toward decision-making across the entire organization
Mentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence
What excites us
5+ years of industry experience in a Data Science Machine Learning role
Deep understanding of statistical techniques and modern machine learning techniques and their mathematical models, such as classification, clustering, deep neural network and natural language processing
Strong familiarity with python and SQL, and ability to code and iterate independently on top of data infrastructure tools like Jupyter notebooks, standard ML libraries, Spark, etc
Data engineering experience and data pipeline tooling (e.g. Airflow, Redshift) experience is a plus
Bachelor’s degree or equivalent work experience in Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field
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@example.com.