Data Scientist, Stuart

• This is a hands-on, high-impact role fit for someone with an analytical mindset, passionate about leveraging algorithms and models to drive real-world optimization and scalable solutions
• 2+ years of experience as a Data Scientist or any similar role (at least one year in non-academic positions)
• Comfortable level in statistical inference
• Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology, or similar) or relevant experience in a high-pace tech environment
• Coding fluency, ideally using Python and/or Scala
• Deep technical knowledge in developing Machine Learning algorithms and or optimization algorithms
• Demonstrable experience in transforming ML models or optimization algorithms to data products
• A pro-active attitude and interest in solving real-life problems with your maths skillset
• Ability to work in a fast-changing environment delivering adaptable technical solutions

Desirable

• You will join our Data Science team and play a key role in driving algorithm-driven solutions that enhance Stuart's delivery network and scale it to optimum performance
• This role goes beyond business and operational challenges, offering you the opportunity to shape a variety of impactful solutions across Stuart
• As a Data Scientist, you'll work on researching and implementing cutting-edge algorithms, delivering insights, and identifying opportunities and proposing solutions to improve efficiency across the organization
• The role touches classical ML problems, but also operations research questions
• Dispatcher Solver Optimization: Refine algorithms for solving complex route optimization (e.g., Vehicle Routing Problem) at the right tradeoff of precision and speed
• Incentive Optimization: Develop strategies to guide drivers to high-demand areas while ensuring cost-effectiveness
• Ride Acceptance Prediction: Model the likelihood of drivers accepting delivery tasks to improve allocation efficiency
• Experimentation at Scale: Improve and scale Stuart's experimentation (A/B, Switchback...) capabilities to enable the different teams to make data-driven decisions
• ...and more exciting challenges where you can directly impact Stuart’s mission!
• Participating in scientific discussions about our algorithms and providing original insights
• Proposing improvements in the solver optimization algorithm & objective function to more efficiently meet business needs
• Developing data-centric services providing live short-term and static long-term forecasts, supply optimization, prediction of driver behaviors, personalized heatmaps, and much more
• Formulating hypotheses about the problem at hand, designing experiments to verify those hypotheses and analyze the data to support them
• Working in cross-disciplinary teams with software developers, analysts and product managers
• Building a proof-of-concept machine-learning or optimization model and testing it on actual business cases
• Integrating the model into a production pipeline alongside platform & data engineers
• Establishing a performance monitoring protocol for the production model & service
• Promoting ways of working that help making the whole tech organization more data driven

• We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly