Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Fintech): Developing and maintaining predictive machine learning models to assess risk and optimize marketing for lending products with an accent on end-to-end ML pipelines and causal inference. Focus on building scalable data pipelines, conducting A/B testing for pricing optimization, and guiding underwriting decisions.
Location: Remote (US)
Salary: $194,834 per year
Company
empowers ambitious professionals to make confident financial decisions and build the life they envision through smarter borrowing options.
What you will do
- Develop and maintain predictive ML models for risk and marketing assessment across lending products.
- Manage the end-to-end ML pipeline, from data collection to model deployment.
- Write ETL pipelines to source data from internal warehouses and third-party providers.
- Execute causal inference analyses and A/B testing to optimize product conversion and pricing.
- Collaborate with cross-functional teams to iterate on solutions and provide mentorship to peers.
- Communicate analytical insights and draft recommendations for product and underwriting policies.
Requirements
- Master’s degree in Data Science, Statistics, Business Analytics, or a related field.
- 4+ years of experience as a Data Scientist.
- 2+ years of experience designing ML models, including regression, classification, and forecasting.
- Proficiency in SQL, Python, and R for data analysis and automation.
- Experience with product analytics, experimental design, and causal inference.
- Must have experience researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors.
Culture & Benefits
- Health, Dental, and Vision benefits with savings plans.
- 401(k) plan with company match, Employee Stock Purchase Plan, and RSUs.
- Mac computers, work-from-home stipend, and monthly internet/phone reimbursement.
- Robust tuition reimbursement program.
- Annual $1,000 travel perk, competitive PTO, and parental leave.
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