Senior Data Scientist, Bolt
Investment Modeling
+ Stock options
Building the future of transportation
Open for applications
Building the future of transportation
1001+ employees
Open for applications
+ Stock options
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
- Industry experience in data science and machine learning (3+ years recommended)
- Natural curiosity to identify problems, explore trends and discover opportunities with little supervision
- Capability to approach problems with first principles thinking
- Team player with strong verbal and written communication skills in English
- Experience in time series analysis, modeling multivariate time series, familiarity with forecasting techniques
- Experience in Python programming, including libraries like Pandas, Numpy, sklearn, OR-tools
- Understanding and practical experience with statistical hypothesis testing
- You will get extra credits for product development experience in a technology company
- You will get extra credits for Ph.D in a quantitative field (physics, mathematics, computer science, economics)
- You will get extra credits for an experience with multivariate time series forecasting methods
What the job involves
- You will be building forecasting models to predict the short and long-term impact of incentives on growth of the business
- You will use an optimization techniques to distribute incentives over time periods, across different cities and channels to maximize the growth of the business
- As a Data Scientist you will be building products powered by Data Science models for internal teams to use in portfolio planning and budgeting
- In addition you will work on decomposing and modeling business growth by interpretable and actionable components
- Develop a deep understanding of technical and business needs to solve real-world problems end-to-end
- Research, test and apply novel forecasting techniques and methods Develop and maintain predictive models to ensure accurate forecasts at short and long horizons for multiple business verticals
- Develop and maintain predictive models to ensure accurate forecasts at short and long horizons for multiple business verticals
- Quickly deploy models to production using AWS and internal machine learning platform
- Solve optimization problems for incentives budget allocation within local and global constraints
- Communicate and present results to product and business stakeholders
- Work with Python, Spark, Presto, Docker, SageMaker, Airflow
- Work with data analysts, data scientists, product managers and software engineers in cross-functional feature teams
- Regularly exchange knowledge with Data Scientists at various levels of seniority in the company
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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