<gh-intro>
  <text>
We're looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you're excited to apply Machine Learning and Causal Inference to drive global impact, join us!

  </text>
</gh-intro>

<gh-about-us>
  <title>About us</title>
  <text>
With over 200 million users in 50+ 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 ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
  </text>
</gh-about-us>

<gh-role-detail>
  <title>About the role</title>
  <text>
You'll own Bolt's campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
  </text>
</gh-role-detail>

<gh-responsibilities>
  <title>Main tasks and responsibilities:</title>
  <bulletpoints>
    •

• <point>Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.</point>
• <point>Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.</point>
• <point>Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.</point>
• <point>Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.</point>
• <point>Serve as a technical mentor and advisor, providing direction on state-of-the-art causal inference tasks.</point>
• <point>Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.</point>

</bulletpoints>
</gh-responsibilities>

<gh-requirements>
  <title>About you:</title>
  <bulletpoints>

• <point>Pragmatic problem solver, able to work autonomously from research to production deployment.</point>
• <point>5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.</point>
• <point>Exceptional knowledge of ML, statistics; hands-on experience with state-of-the-art causal inference techniques is a plus.</point>
• <point>Expert proficiency in Python and SQL.</point>
• <point>A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.</point>
   

</bulletpoints>
  <text>
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!
  </text>
</gh-requirements>

<gh-perks>
  <title>Why you'll love it here:</title>
  <bulletpoints>

• <point>Play a direct role in shaping the future of mobility.</point>
• <point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
• <point>Work in fast-moving autonomous teams with some of the smartest people in the world.</point>
• <point>Accelerate your professional growth with unique career opportunities.</point>
• <point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
• <point>Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.</point>
• <point>Take care of your physical and mental health with our wellness perks.</point>
   

</bulletpoints>
  <text>*Some perks may differ depending on your location and role.</text>
</gh-perks>

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