Staff Data Scientist, Bolt
Investment Modelling
+ Stock Options
2+ days a week in office
Building the future of transportation
Open for applications
Building the future of transportation
1001+ employees
Open for applications
+ Stock Options
2+ days a week in office
1001+ employees
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
Role
Who you are
- You have at least 5 years of experience in Data Science and Machine Learning, ideally in product development within a technology-focused company
- You are experienced in Timeseries Forecasting, specifically financial metrics in marketplaces, scenario-based forecasting, capital allocation and budget modelling
- You apply first-principle thinking to break down complex challenges and design innovative solutions from fundamental concepts
- You’re skilled in Python programming, 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 exhibit excellent teamwork and strong communication skills in English, both verbal and written, enabling clear collaboration and knowledge-sharing
- You’ll get bonus points if you have a PhD in a quantitative discipline such as Physics, Mathematics, Computer Science, or Economics, showcasing the ability to translate data insights into impactful products and demonstrating deep analytical and research capabilities
- 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 if you feel you’re the kind of person described above!
What the job involves
- As a Staff Data Scientist, you’ll develop forecasting models to predict the short- and long-term impact of incentives on business growth. You’ll also use optimization techniques to distribute incentives over different periods, cities, and channels to maximise business growth
- You’ll be responsible for building products powered by Data Science models that internal teams can use for portfolio planning and budgeting. In addition, you’ll work on decomposing and modelling business growth into interpretable and actionable components
- As a Staff level Data Scientist, you will coach less experienced team members by sharing good practices in problem-solving, modelling, software engineering and soft skills
- Utilising advanced forecasting methods to design, develop, and maintain model frameworks across multiple business verticals for short- and long-term horizons, ensuring high accuracy and low operational cost
- Rapidly deploying models to production with AWS and internal ML platforms and working with Python, Spark, Presto, Docker, SageMaker, Airflow tech stack
- Solving complex optimisation problems by simulating strategic solutions for incentives budget allocation while balancing local and global constraints to maximise ROI
- Effectively communicating model outcomes as insights to a diverse group of stakeholders
- Working in cross-functional teams with Data Analysts, Data Scientists, Product Managers and Software Engineers to gain a deep understanding of technical and business needs
- Regularly share knowledge with other Data Scientists across all seniority levels, promoting learning and innovation in a collaborative environment
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
Some candidates hear
back within 2 weeks
37% female employees
26% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2022
$660.6m
SERIES F
Aug 2021
$631.1m
LATE VC
Total funding: $1.8bn
Company benefits
- Work from home opportunities
Company values
- Fearless - We solve complex challenges on a daily basis. It requires a team of fast-movers to push things forward and get the job done. We value passion over experience, mistakes over not trying
- Smart - We hire the smartest people - those who know that they don’t know everything. We make data-driven decisions and apply our learnings fast. It's about the impact, not the effort
- Responsible - With scale comes responsibility. We value the trust given to us by millions of people and do our best to make urban transportation reliable and available for everyone
Company HQ
Veerenni, Tallinn, Harju County
Articles
Leadership
Markus Villig
(CEO)Markus left his Computer Science degree to start Bolt (then Taxify) aged 19
People progressing
Joined as a Customer Support Specialist in Estonia. Moved to London after 3 years
Salary benchmarks
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