Data Scientist, Delivery Experience

vor 2 Wochen


Berlin, Deutschland Bolt Technology Vollzeit

**Some examples of real life projects we work on**:

- Automated tools for driver quality measurement
- Funnel optimisation for driver acquisition
- In-app engagement tools
- Fleet scheduling and management
- Please note that _**_Berlin_**_ is a tech-hub where we are hiring locally only, and Bolt will not support your relocation to _**_Berlin_**_. However, relocation to Tallinn (our HQ) will be supported. See the relocation support we are providing_ _here_.If this role is interesting to you, and you're currently located outside of _**_Berlin_**_, please consider this role in Tallinn, Estonia instead._

**Your daily adventures will include**:

- Building end-to-end machine learning models, from prototyping to deploying data science pipelines in production
- Leveraging machine learning techniques to improve the experience of drivers on our platform
- Using data to drive insights and decisions around driver engagement, behavioural fraud detection, and fleet management
- Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Presto
- Collaborating with data analysts, data scientists, product managers and software engineers in feature teams
- Building and maintaining data pipelines to ensure data quality and reliability
- Solving deeper problems and developing novel technical solutions within the broader data science team.

**We are looking for**:
***:
***:

- Strong ML profile with experience in data modelling, feature engineering, and model training (3+ years recommended)
- Experience in working with large datasets and data pipelines
- Excellent problem-solving skills and attention to detail
- Understanding of analytical methods, such as simulation, network analysis, decision analysis, multi-criteria analysis, scenario analysis, optimisation, game theory
- Ability to write production-level code
- Experience writing complex SQL queries
- Proactive mindset, willingness to take initiative and work with little supervision
- Strong product thinking and ability to collaborate with cross-functional teams with strong communication skills
- Track record of deploying models to production and measuring the impact

**You will get extra credits for**:

- Experience in user experience research, recommendations, funnel optimisation, logistics and marketplace businesses
- Knowledge of behavioural fraud detection and prevention techniques
- Familiarity with experiment design (specifically market-level experiments and causal inference)
- Ph.D. in computer science, statistics or related quantitative fields, or a Master's degree with equivalent industry experience

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