Experienced Data Scientist Machine Learning - Remember Me
Plaid
Software Engineering, Data Science
San Francisco, CA, USA
Posted on Wednesday, July 31, 2024
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. #LI-Hybrid
Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning modelers to utilize best-in-class methodologies and approaches to build new products, improve existing systems and uncover insights to empower data-driven decision making. We value not only technical know-how, but also creativity, user empathy, and teamwork. This team will be providing analytics support for Remember Me. This includes detailed data exploration and analysis, conducting A/B experiments, creating dashboards and alerts, and developing metrics.
You will be a machine learning modeler building and maintaining machine learning models to power the Remember Me experience.
Reponsibilities
- Running large-scale A/B experiments to test new authentication methods and evaluate different ML models and risk engine rules.
- Crafting metrics, alerts, and dashboards to monitor ML production model and risk engine performance
- Building data pipelines using tools like DBT to automate ETL processes.
- Hands-on develop Machine Learning models and pipelines to improve a diverse range of Plaid products.
- Continuously proposing and developing new features to improve the AI/ML model performance.
- Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
Qualifications
- 5+ years of industry experience in a product-focused Data Science or machine learning role
- Deep familiarity with SQL and data visualization tools
- Experiencing conducting large-scale A/B experiments, analyzing results and translating them into concrete recommendations
- Familiarity with the AWS stack
- Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, 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
- Experience building data pipelines in DBT or Airflow is a plus
- Experience with the FinTech industry is a plus
- Ability to work with technical and non-technical teams
- 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.
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.