Senior Data Scientist, Bolt

Delivery

Salary not provided

Offers stock option

AWS

Docker

Python

Airflow

Spark

NumPy

Pandas

Scikit-Learn

Sagemaker

Senior and Expert level

Berlin

3-5 days a week in office

Building the future of transportation

Open for applications

Building the future of transportation

1001+ employees

MarketplaceTransportMobility

Open for applications

Salary not provided

Offers stock option

AWS

Docker

Python

Airflow

Spark

NumPy

Pandas

Scikit-Learn

Sagemaker

Senior and Expert 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

You have 5 years of experience in Data Science and Machine Learning, ideally in product development within a technology-focused company
You’re skilled in Python programming, leveraging key libraries such as Pandas, NumPy, scikit-learn, and OR-tools 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 identify problems, explore trends, and discover growth opportunities
You exhibit excellent teamwork and strong communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing
You have hands-on experience in building ML systems from end to end, including testing, monitoring, scaling, and measuring the impact

What the job involves

You will be building models to estimate the food delivery time at various stages of the order, such as before and after the order has been accepted
You will also build complex ranking pipelines for our textual search and recommendation engines, using optimization techniques for dispatching and demand/supply balancing to minimize the delivery time of our orders
Collaborating with cross-functional teams, including Data Analysts, Data Egineers, Product Managers, 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, Docker, 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
Solving real-world problems on a wide variety of tasks, such as ranking, textual search, recommendation, user clustering, pricing, delivery time estimation, dispatching, and demand/supply balancing
Applying the most advanced techniques, such as deep learning, gradient boosting, causal inference, mathematical optimization, dimensionality reduction, time series forecasting, 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

$691.4m

SERIES F

Aug 2021

$660.6m

LATE VC

Total funding: $1.9bn

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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