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Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI) (Machine Learning/Statistics): Architecting and deploying end-to-end machine learning systems, optimization frameworks, and experimentation platforms that shape product and business decisions at scale with an accent on statistical rigor, production deployment, and measurable incrementality. Focus on designing advanced A/B testing frameworks, solving complex business problems with Product, Engineering, and Operations, and mentoring data science teams.
Location: Bucharest, Romania; hybrid work with at least 12 monthly in-office days
Company
Bolt is a global mobility platform offering ride-hailing, food delivery, micromobility, and car-sharing services across 50 countries.
What you will do
- Lead the technical vision and roadmap for data science products and systems.
- Architect and deploy end-to-end machine learning systems and optimization frameworks at scale.
- Design and execute experimentation frameworks to measure the incrementality of product and business interventions.
- Establish rigorous statistical and engineering practices for maintainable data products.
- Mentor colleagues and advise on complex technical and mathematical challenges.
- Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions.
Requirements
- 5+ years of applied machine learning experience in an industry setting.
- Advanced knowledge of machine learning and statistics, with hands-on A/B testing experience.
- Expert proficiency in Python and SQL.
- Ability to work autonomously from research through production deployment.
- Strong mentoring and communication skills, including the ability to explain complex mathematical concepts.
Culture & Benefits
- Hybrid work model balancing flexibility and in-person collaboration.
- Career development opportunities, stock options, and a competitive salary.
- Physical and mental wellness benefits.
- A one-month paid sabbatical after five years at Bolt.
- Annual company events and smaller team gatherings.
- AI tools are expected to be used responsibly in daily work.
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