Data Scientist, Marketplace

vor 2 Wochen

Berlin, Deutschland Bolt Technology Vollzeit

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

- Matching drivers with ride requests to optimise marketplace efficiency
- Guiding drivers to areas of high demand
- Balancing demand and supply through dynamic pricing
- Running A/B tests to measure the impact of marketplace-level featuresAgent-based simulation of cities
- 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 model/forecast marketplace demand and supply to enable optimal pricing strategies
- Developing algorithms for efficient driver dispatching
- Validating hypotheses and running simulations to estimate the models' influence on the marketplace
- 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
- Solving customer 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 practical machine learning: GLM/Regression, boosting, bagging, feature engineering, modelling, model testing and validation, error analysis etc.
- 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 the initiative and work with little supervision
- Team player with excellent communication skills
- Track record of deploying models to production and measuring the impact

**You will get extra credits for**:

- Experience in developing dynamic pricing algorithms and optimising marketplaces
- Familiarity with experiment design (specifically market-level experiments and causal inference)
- PhD in computer science, statistics or related quantitative fields, or a Master's degree with equivalent industry experience
- Background in econometrics, operations research, simulation, or quantitative analysis of behaviour

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