Data Scientist, Bolt

Rentals

Salary not provided

Offers stock option package

SQL

Python

Mid and Senior level

Berlin

3-5 days a week in office

Building the future of transportation

Be an early applicant

Building the future of transportation

1001+ employees

MarketplaceTransportMobility

Be an early applicant

Salary not provided

Offers stock option package

SQL

Python

Mid and Senior level

Berlin

3-5 days a week in office

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

Industry experience in Machine Learning (3+ years recommended), ideally in product development within a technology-focused company
Proficient in Python, writing complex queries in SQL or PySpark, training classical ML models
Adaptable, willing to work on a variety of tasks (we’re a small team, so we have to wear multiple hats)
Proactive, able to work with minimal supervision
Hands-on experience building ML systems end-to-end – including testing, monitoring, scaling, and measuring impact through hypothesis testing
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

What the job involves

We’re looking for an experienced Data Scientist to join our Rentals Pricing team, which powers Bolt’s micromobility and car-sharing (Bolt Drive) products
You will tackle challenges such as: modelling the interaction of different price modalities estimating long-term effects of price changes the dynamic discounting of rides to increase utilisation
Your work will include building automated exploration pipelines, estimating price elasticities, and solving optimization problems.
You'll apply predictive modelling and causal inference to measure the impact of pricing changes and to guide strategy.
Your work will have a direct effect on revenue growth and user experience
Own the development lifecycle for ML solutions – from notebook prototypes to deployment and automation
Collaborate with analysts, engineers, product managers, and operations specialists
Deploy models using our ML platform, working with a toolkit including Python, Spark, Docker, Airflow
Validate your solutions’ impact via experiments

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

$729.9m

SERIES F

Aug 2021

$697.4m

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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