Senior Data Scientist, Credit

🕒 July 21

🇺🇸 United States – Remote

💵 $120k - $134k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mission Lane

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2018

💼 Consulting

📣 Marketing

🛡️ Insurance

Consulting • Marketing • Insurance

Mission Lane is a financial services company that focuses on providing accessible credit options for individuals, particularly those underserved by traditional financial institutions. They offer the Mission Lane Visa® Credit Card, which allows applicants to see if they are approved without impacting their credit score. The company aims to support members on their financial journeys through education and tools that promote healthy financial habits, ensuring that millions of Americans have access to the resources they need to build credit and improve their financial situations.

📋 Description

• Design, build, and deploy supervised learning models powering Mission Lane's credit decisions from experimentation through production • Partner with credit risk and portfolio teams to translate business questions into modeling problems • Communicate modeling trade-offs to stakeholders • Monitor production models, detect drift, and validate performance • Apply software engineering practices including test-driven development, code review, and refactoring • Explore new data sources and modeling approaches using Mission Lane's Python data stack

🎯 Requirements

• A degree in a quantitative field and 1+ years of work experience in a related role • Experience creating, deploying, and managing supervised learning models in a production system • Experience writing tested, reviewed, reproducible code for data pipelines and model training • Fluency in the Python data stack, including numpy, polars, and scikit-learn • Familiarity with command-line work, shell scripting, databases, and cloud computing services • Ability to travel approximately 4+ times per year for in-person collaboration • Preferred: Experience solving problems in consumer lending or fintech • Preferred: Experience with Airflow, Dagster, or other data pipeline platforms • Mission Lane is not sponsoring new applicant employment authorization

🏖️ Benefits

• Annual incentive program • Equity program • Paid time off • 401(k) match • Monthly wellness stipend • Health insurance options • Dental insurance options • Vision insurance options • Disability coverage • Paid parental leave • Flexible spending account for childcare and healthcare • Life insurance • Remote-first work environment