Описание: Bolt is a global mobility platform that helps people move through cities with ride-hailing, food delivery, scooters, e-bikes, and car-sharing services. It serves more than 200 million customers and 4.5 million driver and courier partners across 50 countries.
Collaborate with Pricing Analysts, Product Managers, Data Engineers, and Software Engineers to understand business needs and create end-to-end technical solutions Deploy and validate solutions for millions of users, enabling fast feedback and measurable customer value Deploy models to production using AWS and internal machine learning platforms, with Python, Spark, Presto, SageMaker, and Airflow Exchange knowledge regularly with Data Scientists across seniority levels Tackle real-world challenges across the pricing domain Apply data science and econometric techniques, including causal inference, optimization, predictive modeling, time series forecasting, multi-armed bandits, and Bayesian experimental design
At least 5 years of experience in Data Science and Machine Learning, including at least 2 years focused on pricing challenges Expertise in econometrics, experimentation design, and causal inference Hands-on experience building end-to-end ML systems, including testing, monitoring, scaling, and impact measurement Python programming skills, including Pandas, NumPy, and scikit-learn Practical experience with statistical hypothesis testing and using data-driven methods to identify problems, explore trends, and discover opportunities Proactive, able to take initiative and work with little supervision, and comfortable collaborating across product, analytics, and engineering Excellent teamwork and strong verbal and written English communication skills Будет плюсом: experience with complex experimentation and causal inference, product development experience in a technology company, familiarity with cloud systems such as AWS, Azure, or Google app engine, a Ph.D. in a quantitative field
Some perks may differ depending on your location and role
#J-18808-LjbffrVeröffentlichungsdatum:
01 Nov 2026Standort:
BerlinEinsatzort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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