Mission Lane
Senior Data Scientist, Credit
Remote, United States · Senior · Full-time
Sponsorship not specified$120k-$134kDetected 10 days ago
PythonBashCode ReviewGCPKubernetesMachine Learningscikit-learnNumPyAirflowData EngineeringData ScienceCollaboration
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress.
- A lot of our applicants don't have years of clean credit history to lean on, so the standard score alone doesn't get you very far.
- That means you'll get to dig into the interesting work of figuring out what else predicts repayment.
Responsibilities
- By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member.
Requirements
- A degree in a quantitative field and 1+ years of work experience in a related role
- Experience writing tested, reviewed, reproducible code, for data pipelines and model training alike, working fluently in the Python data stack.
- Familiarity with working at the command line, shell scripting, databases, and cloud computing services
- You work well with people outside data science and can explain a modeling decision in plain language.
Nice to have
- Experience solving problems in consumer lending or fintech
- Experience with Airflow, Dagster, or other data pipeline platforms
- About Mission Lane:
- 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.
- To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores.
- Our commitment to a workplace built on respect and dignity is guided by our core value of Unity.
Skills
- Monitor models already in production, catching drift and validating performance so they keep doing what they were built to do
- Apply strong software engineering practices to your modeling work, including test-driven development, code review, and refactoring
- Explore new data sources and modeling approaches using Mission Lane's Python data stack.
Compensation
- Annual full-time starting base salary range: $120,000 - $134,000
- This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs.
- Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role.
Company info
- 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.
- We're looking for team members who share our dedication to transparency and truth.
- Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia.
Equal opportunity
- Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com.
- equal opportunity employer.
Visa & Work Authorization
- 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 workin
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This listing is sourced directly from Mission Lane's careers page and normalized into a canonical job model.