Senior Data Scientist, Member Services
About the Role
In this role you will be an important contributor to our growing Member Services Data Science team responsible for creating a stellar experience for Chime users through the innovative use of machine learning (ML) and natural language processing (NLP). You will have the ability to build solutions from the ground up, drive important ML initiatives, and manage the complete ML lifecycle from data wrangling to building, deploying and monitoring models in production. You will work closely with our partners in Product, Engineering, Analytics and Operations, and a fun and talented team of Data Scientists and ML Platform Engineers.
In this role, you can expect to
- Understand product and business requirements from the member experience team and identify and apply novel ML approaches to solve our most challenging problems in impactful ways
- Creatively leverage historical, real-time, clickstream data to increase the effectiveness and efficiency of our decision-making infrastructure
- Partner with ML platform engineers to design machine learning solutions that operate quickly and effectively at scale
- Proactively identify opportunities for using ML and NLP/NLU to improve support experience for users and enable support agents to resolve user issues efficiently
- Lead efforts to build the next generation of data products at Chime
- Uplevel the DSML team through knowledge sharing, contributing to process improvements and developing internal tools
To thrive in this role, you have
- 4+ years industry experience (consumer tech preferred) developing machine learning models from inception to business impact. Experience with developing ML solutions for customer support/experience teams is a plus
- M.S. or Ph.D. in Machine Learning or STEM field, with experience building production ML pipelines (development, deployment, inference and monitoring) at scale
- Deep understanding of and experience with machine learning techniques (classifiers, recommenders, statistical models) and NLP techniques (text classification, named-entity recognition, summarization)
- Experience with applying different state-of-the-art NLP/NLU techniques and working with a combination of structured and unstructured data fields to develop ML models
- Demonstrable experience with ML/DL/NLP toolkits: Keras, PyTorch, Tensorflow, scikit-learn, SparkML, spaCy, etc.
- Strong programming skills (Python preferred) with intermediate to advanced knowledge of SQL and the ability to wrangle data from many disparate data sources
- Experience with some of the technologies we use: Python, Kafka, Redis, MySQL, Postgres, Spark, AWS, Snowflake and Looker, among many others
A little about us
We created Chime because we believe everyone deserves financial peace of mind. By eliminating unnecessary fees and helping people grow their savings automatically, we’ve empowered millions of Americans to take control of their finances.
Chime is the largest and fastest-growing U.S. player in the challenger-banking space. Through our banking partners, we offer access to bank accounts with fee-free overdraft, provide members the chance to receive early access to their paychecks, help them improve their credit, and more!
We've built one of the most experienced leadership teams in Fintech and were recently valued at over $14.5B. We've raised over $1B in funding from leading investors including DST, Coatue, Tiger Global, General Atlantic, Iconiq, Dragoneer, Menlo, Whale Rock, Access, Forerunner, Crosslink, Cathay, aCrew, and others.
What we offer
- 💰 Competitive salary based on experience
- ✨ 401k match plus the usual medical, dental, vision, life, and disability benefits
- 📝 Quarterly stipend to spruce up your home office
- 🏝 Generous vacation policy and company-wide Take Care of Yourself Days
- 🖥 Virtual events to connect with your fellow Chimers- think cooking classes, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help create a completely new kind of banking service
We know that great work comes from great, and inclusive teams. At Chime, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Chime is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. If you have a disability or special need that requires accommodation, please let us know. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.