Senior Data Scientist, Investment Modeling
We are looking for an experienced Data Scientist to join our Investment Modeling team to build quantitative growth models and optimise investments across hundreds of cities around the world!
About us
With over 150 million customers in 45+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the role
Your daily adventures will include:
- 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
About you:
- 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
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!
Become part of our Engineering team
Our engineers are at the forefront of innovating one of the largest industries in the world — transport. Are you up for the challenge?
Why you’ll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 500+ cities across 45 countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- Enjoy the flexibility of working in a hybrid mode.
- Take care of your physical and mental health with our wellness perks.
*Some perks may differ depending on your location.