Senior Data Scientist, Bolt

Delivery Pricing

Salary not provided

Python

NumPy

Pandas

Scikit-Learn

Senior and Expert level

Berlin

More information about location

Building the future of transportation

Be an early applicant

Building the future of transportation

1001+ employees

MarketplaceTransportMobility

Be an early applicant

Salary not provided

Python

NumPy

Pandas

Scikit-Learn

Senior and Expert level

Berlin

More information about location

1001+ employees

MarketplaceTransportMobility

Company mission

Bolt believes in a future with less car ownership and flexible urban mobility. By bringing reliable on-demand transport to the masses, they’re helping cities evolve towards decreased traffic congestion and pollution

Job

Company

Role

Who you are

You have at least 5 years of experience in Data Science and Machine Learning, including a minimum of 2 years focused specifically on pricing-related challenges
You have good expertise in econometric, experimentation design and causal inference. You have hands-on experience in building ML systems from end to end, including testing, monitoring, scaling, and measuring the impact
You have hands-on experience in building ML systems from end to end, including testing, monitoring, scaling, and measuring the impact
You’re skilled in Python programming, leveraging key libraries such as Pandas, NumPy, scikit-learn for data analysis and modelling, with practical experience in statistical hypothesis testing that allows you to independently identify problems, explore trends, and discover opportunities through data-driven methods
You have a proactive mindset, a willingness to take initiative and work with little supervision, and enthusiasm for collaborating with different roles in product, analytics, and engineering to uncover insights, test hypotheses, and inform strategic decisions
You exhibit excellent teamwork and strong communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing

What the job involves

You will work on the pricing engine that optimises both customer prices and courier earnings to improve overall marketplace efficiency
This includes building automated exploration pipelines, estimating price elasticities, and solving optimisation problems
You'll apply predictive modelling and causal inference to measure the impact of pricing changes and guide strategy
Your work will directly influence marketplace balance, growth, and user experience
Collaborating with cross-functional teams, including Pricing Analysts, Product Managers, Data Engineers and Software Engineers, to gain a deep understanding of business needs and create end-to-end technical solutions for them
Deploying and validating solutions for millions of users, enabling fast feedback and measurable added value to customers
Rapidly deploying models to production environments using AWS and internal machine learning platforms, leveraging a toolkit that includes Python, Spark, Presto, SageMaker, and Airflow for efficient data processing and model deployment
Engaging in regular knowledge exchange with Data Scientists across all seniority levels, fostering a collaborative environment that promotes learning and innovation
Tackling diverse, real-world challenges across the pricing domain
Applying advanced data science and econometric techniques such as causal inference, optimization, predictive modeling, time series forecasting, multi-armed bandits, Bayesian experimental design and more

Our take

Bolt is another company in the competitive ride-sharing market that's trying to take market share away from Uber in London and Europe more broadly. They operate in 100 cities and have over 25 million customers

Their strategy is to focus on markets where Uber used to have a monopoly and then they come in with a better offering for drivers

Bolt has the ability to grow aggressively for now as they're well financed. They face a similar to challenge to Uber in that no company in this space has established a profitable business model that isn't propped up by investors with deep pockets. Creating a sustainable model that's better for drivers than Uber is the way Bolt can win

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

37% female employees

26% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 9 rounds)

Jan 2022

$740.6m

SERIES F

Aug 2021

$707.6m

LATE VC

Total funding: $2.0bn

Company benefits

Work from home opportunities

Company HQ

Veerenni, Tallinn, Harju County

Leadership

Markus Villig

(CEO)

Markus left his Computer Science degree to start Bolt (then Taxify) aged 19

Salary benchmarks

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