Вакансия предлагает понятную ответственность за ML-системы в крупной продуктовой компании, но зарплата не раскрыта, а широкий набор задач затрудняет оценку реальной нагрузки.
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Широкий круг задачЗарплата не указанаСовременный стекМасштаб продукта
Оценка от Hirify AI
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Описание вакансии
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TL;DR
Senior Data Scientist (Micromobility) (Machine Learning/Micromobility): Building and operating production ML systems for vehicle deployment, battery operations, safety, compliance, and pricing with an accent on tabular, image, video, and sensor data. Focus on experimentation, causal inference, model monitoring, and turning ambiguous business problems into measurable production impact.
Location: Berlin, Germany; hybrid working with a minimum of days in the office each week.
Company
Bolt is a global mobility platform offering ride-hailing, food delivery, scooters, e-bikes, and car-sharing services across 50 countries.
What you will do
Own ML systems from notebook prototypes through deployment, monitoring, retraining, and ongoing maintenance.
Design, train, and deploy models using tabular, image, video, and sensor data.
Develop operational and pricing rules, validate them through experiments and quasi-experimental analysis, and measure their impact on fleets and customers.
Collaborate with Software Engineers, Data Scientists, Product Managers, Operations, and the ML Platform team to productionise and monitor ML solutions.
Create documentation, runbooks, and diagnostics for operating and extending ML systems.
Requirements
5+ years of experience in applied data science or ML engineering, ideally in a product setting.
Hands-on experience building end-to-end ML systems, including testing, monitoring, scaling, and impact measurement.
Mastery of Python and SQL/PySpark, clean code practices, and modern ML tooling and cloud infrastructure including AWS, SageMaker, Airflow, Docker, and MLflow.
Production experience with PyTorch, TensorFlow, or JAX.
Experience with experimentation design and causal inference.
Strong product sense, proactive ownership, and the ability to turn ambiguous problems into measurable solutions from discovery through production impact.
Adaptability and comfort working across modelling, pipeline engineering, stakeholder collaboration, and mature system maintenance in a small team.
Culture & Benefits
Work in autonomous, fast-moving teams with ownership over decisions and systems.
Contribute to mobility products used by millions of customers and partners across more than 850 cities and 50+ countries.
Receive a salary and stock option package.
Use a hybrid work model with regular office collaboration.
Access wellness perks supporting physical and mental health.
Benefit from professional growth and career opportunities.
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