Data Scientist, Marketplace - Berlin, Deutschland - Bolt Technology

Bolt Technology

Geprüftes Unternehmen

Berlin, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

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 marketplacelevel featuresAgentbased simulation of cities
Please note that _
_Berlin__ is a techhub 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 endtoend 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, multicriteria analysis, scenario analysis, optimisation, game theory
Ability to write productionlevel 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 marketlevel 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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