Mission Lane is revolutionizing access to credit to pave a clear way forward for millions of Americans on the path to financial success. By attracting top-tier talent and leveraging cutting-edge technology, we’re redefining consumer credit for the better. Sound like a mission you can get behind?
About the Role
As a Staff Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.
As a Staff Data Scientist, you’ll:
Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You’ll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.
You are a person who:
- Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
- Has a PhD in a quantitative field and 1+ years of experience in a related role
- Has a BS / MS in a quantitative field and 3+ years of experience in a related role
- Excels at cross-functional collaboration as technical expert to both business leaders and other technical teams. You approach problems with a solution-oriented mindset and can overcome the real-world challenges of managing data and applying models
- Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
- Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
- Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools
You get bonus points for:
- Experience solving problems in consumer lending or fintech
- Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks
We’re offering:
We’re committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.
- Work: An engaging culture with access to training programs and advancement opportunities
- Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
- Balance: Generous PTO, flexible schedules, a Calm App subscription, and more
Compensation
Annual full-time base salary range: $147,000 - 179,000
Additional compensation in the form(s) of participation in our annual incentive program and equity are dependent on role. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.
About Mission Lane:
Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia.
It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn’t have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn’t do.
In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit.
To date, over three million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores.
Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.
Interested in learning more? Check out The Mission Lane Junction for articles on culture, credit, and community, and The Mission Lane Newsroom for media mentions.
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At Mission Lane, we’re committed to a workplace built on respect and dignity, where everyone has the opportunity to contribute. We believe diversity in all forms makes us stronger, and we intentionally foster an inclusive environment where employees feel valued, respected, and free to be their true selves. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other protected status.
Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting [email protected].
Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.
Each Laner is responsible for keeping Mission Lane informed of their primary work location within the United States. Changes to a Laner's work location may result in changes to certain benefits based on local policies and requirements. If a Laner desires to move to an approved state within the US, we ask that they notify People Operations at least 30 days prior to moving.
Top Skills
What We Do
Mission Lane is not your average fintech company. We’re on a mission to disrupt the financial industry and normalize treating members like humans. With our unique take on credit, debit, and income discovery, we’re making life easier for millions of Americans, and loving our work every step of the way.
