обновлено 8 дней назад
Senior Data Scientist, Credit (Fintech)
120 000 - 134 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist, Credit (Fintech): Building and deploying supervised learning models that power credit decisions, with an accent on repayment prediction, model fairness, and production reliability. Focus on monitoring model drift, validating performance, exploring new data sources, and applying tested Python data-stack practices to credit risk modeling.
Location: Remote, United States; ability to travel approximately four or more times per year for in-person collaboration.
Annual full-time starting base salary: $120,000–$134,000, plus eligibility for annual incentive and equity programs.
Company
is a purpose-driven U.S. fintech company offering credit cards designed to help consumers with limited or imperfect credit histories make financial progress.
What you will do
- Design, build, and deploy supervised learning models for credit decisions from experimentation through production.
- Partner with credit risk and portfolio teams to translate business questions into modeling problems and explain trade-offs.
- Monitor production models, detect drift, and validate performance.
- Apply test-driven development, code review, refactoring, and reproducible engineering practices to modeling work.
- Explore new data sources and modeling approaches using the Python data stack.
Requirements
- Degree in a quantitative field and at least one year of related work experience.
- Experience creating, deploying, and managing supervised learning models in production.
- Experience writing tested, reviewed, and reproducible code for data pipelines and model training.
- Fluency with the Python data stack, command-line tools, shell scripting, databases, and cloud computing services.
- Ability to travel approximately four or more times per year for high-quality in-person collaboration.
- does not sponsor new applicant employment authorization.
Nice to have
- Experience in consumer lending or fintech.
- Experience with Airflow, Dagster, or other data pipeline platforms.
Culture & Benefits
- Remote-first work environment with a focus on respect, dignity, empathy, collaboration, and belonging.
- Paid time off and paid parental leave.
- 401(k) match, monthly wellness stipend, and health, dental, and vision insurance options.
- Disability coverage, flexible spending accounts for childcare and healthcare, and life insurance.
- Annual incentive and equity program eligibility.
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