Director of Data Science
San Francisco, CA
Chime
No monthly fees. 60k+ ATMs. Build credit. Get fee-free overdraft up to $200.¹ Chime is a tech co, not a bank. Banking services provided by bank partners.About the role
Chime is seeking a data science leader to support, manage, and grow our data science teams. You will lead teams of high-performing data scientists, driving cutting-edge data solutions, ranging from machine learning models to experimentation platforms, and shaping our data strategy. Our ideal candidate is curious, rigorously data-driven, with extensive experience leading and a passion for solving business problems.
The base salary offered for this role and level of experience will begin at $249,300 and up to $353,200. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Be human; Focus on people happiness by ensuring folks have the support they need as individuals and through an innovative & collaborative environment
- Be a leader; Work closely with our business partners, product leaders, and data teams to identify, lead, and deliver data solutions and strategies
- Be a mentor; Develop team members and foster a culture of innovation, collaboration and continuous improvement
- Get it done; Track record of delivering data-driven products, insights, and influencing product and engineering decisions
- Drive clarity; Ability to understand complex business problems and break down projects into a structured approach
- Enable growth; Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship
- Be an advocate; Evangelize the power of data science to understand and improve our business and operations
To thrive in this role, you have
- 5+ years of people management experience, remote teams, growing managers, and supporting data scientists
- 8+ years of experience in Data Science, preferably in Machine Learning Engineering
- Experience in solving business problems with Data Science in one or more of these domains: Risk Management, Product Growth, Member Experience Improvements.
- Bachelors, Masters, or Ph.D. (or applicable experience) in a quantitative field (Economics, Computer Science, Statistics, Physics, etc.)
- An inclusive approach to hiring and supporting people
- Strong communication skills and the ability to simplify complex ideas and methodologies, and influence a broad spectrum of audiences
- Working knowledge of model development lifecycle, experimentation methods, machine learning technology trends and landscape that drive business innovations
- Proven judgment in balancing practical business needs and scientific rigor
- Proven track record establishing and building partnerships across multiple organizations
- Knowledge of a scientific programming language, such as Python
- Some experience with cloud computing platforms, such as AWS
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 $25.5B. We’ve raised over $1.7B in funding from leading investors including Sequoia Capital Global Equities, SoftBank Vision Fund 2, General Atlantic, Tiger Global, Dragoneer, DST, Coatue, Iconiq, Menlo Ventures and others.
What we offer
- 💰 Competitive salary based on experience
- ✨ 401k match plus the usual medical, dental, vision, life, and disability benefits
- 🏝 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.
#JL1
Tags: AWS Banking Computer Science Data strategy Economics Engineering FinTech Machine Learning ML models Physics Privacy Python Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex vacation Health care Salary bonus Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs