Senior Data Science Engineer / Senior Machine Learning Engineer
You will own the end-to-end design, implementation, evaluation, and maintenance of production machine learning models for prediction, recommendation, and anti-fraud use cases. You will lead architectural decisions, analyze and visualize user and merchant data, deliver insights that inform product strategy, and collaborate on robust production systems.
Responsibilities
- Own the end-to-end design, implementation, evaluation, and maintenance of machine learning models from problem framing through production.
- Lead architectural decisions for data science systems.
- Process, analyze, and visualize user and merchant data to provide insights that influence product strategy.
- Collaborate with data engineers, product managers, and stakeholders to build robust production systems.
Requirements
- Bachelor's degree in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, or Physics, or equivalent.
- Verbal and written English communication skills.
- More than five years of experience as a data scientist, machine learning engineer, or equivalent.
- Experience with Python and SQL.
Benefits
- Social insurance, including health, employee pension, employment, and compensation insurance.
- 401K.
- Language learning support.
- Translation and interpretation support.
- Visa sponsorship.
- Relocation support.
- Super flexible working hours with no core time.
- Annual leave of up to 14 days in the first year.
- Five personal leave days each year.