Mercury4 дня назад
Senior Data Scientist
13 883–20 908 ₽в месяц · до вычета
РЫНОК
16 333 ₽медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
В рынке · выше 33% предложений
San Francisco
Обязанности
- 01Build, validate, and deploy machine learning models to identify and prevent fraud in real time
- 02Support the reproducibility and robustness of said models through documentation, testing, and monitoring
- 03Ensure data quality and reliability across pipelines and tools
- 04Collaborate with Risk Strategy to ideate on model inputs and applications and with Engineering optimize deployment and observability
Требования
- 015+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ years of ML experience
- 02Proficiency in SQL and experience using it to understand and manage imperfect data
- 03Proficiency in Python and experience with statistical modeling and machine learning
- 04Experience deploying and monitoring machine learning models in production
- 05Comfort working in a fast-paced environment with evolving priorities
- 061+ years of relevant risk experience
- 07Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection
- 08Experience with modern data tools for pipelines and ETL (e.g., dbt)
- 09Experience with model governance as required in finance or other regulated industries
- 10Experience building zero-to-one solutions in ambiguous or greenfield problem spaces
Условия
- 01Base salary, equity (stock options/RSUs), and benefits
- 02Competitive salary and equity ranges within the SaaS and fintech industry
- 03Salary ranges updated regularly using reliable compensation survey data
- 04New hire offers based on experience, expertise, geographic location, and internal pay equity
- 05Target new hire base salary ranges: US employees $166,600 – $250,900 USD; Canadian employees $157,400 – $237,100 CAD