Staff Data Scientist, Bolt
Delivery
Stock option package available
3+ days a week in office
Building the future of transportation
Job no longer available
Building the future of transportation
1001+ employees
Job no longer available
Stock option package available
3+ days a week in office
1001+ employees
Company mission
To build a future where people don't need to own personal cars to move around safely and conveniently.
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 PyTorch 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
- 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
- You will be building complex models for our home page ranking, textual item search and recommendation engines, and building product knowledge graphs for our merchants
- You’ll also use optimisation and causal inference techniques for menu quality assessment and performance-based commercial models
- As a Staff-level Data Scientist, you will mentor and guide less experienced team members, sharing best practices in problem-solving, modelling, software engineering, and essential soft skills
- 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
- Initiating 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, textual improvement, knowledge extraction from images, and user clusterisation
- Applying the most advanced techniques, such as deep learning, gradient boosting, causal inference, mathematical optimization, dimensionality reduction, uplift modelling, and more
Our take
Across Europe, more and more people are choosing flexible, on-demand transport instead of owning a car. And ride-hailing, shared vehicles and new technology like autonomous driving are all part of this shift. So, cities are pushing for safer and more efficient transport, which is encouraging mobility companies to invest in electric vehicles and even driverless solutions which could eventually reshape urban travel.
Bolt has positioned themselves right in the center of this change, with is leading mobility platform that offers ride-hailing services across more than 50 countries. Through its app, Bolt connects users with transport options designed to be affordable and simple.
Recently, the company partnered with Stellantis to explore Level 4 autonomous, driverless vehicles, showing just how far ahead Bolt is looking for its next phase of mobility.
That said, Bolt operates in a very crowded market and urban mobility is highly competitive, with many local and international players all trying to come out on top. Even so, demand for shared and on-demand transport is at an all time high and only growing. Bolt's broad geographic reach, focus on scale and willingness to invest in future technologies puts it in the perfect position to keep growing.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Jan 2022
$719.9m
SERIES F
Aug 2021
$687.8m
LATE VC
Total funding: $2.0bn
Company HQ
Veerenni, Tallinn, Harju County
Leadership
Markus Villig
(CEO)Markus founded Bolt in 2013 and has served as the CEO since.
Salary benchmarks
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