Senior Data Scientist, Campaigns

Description

Job Overview

• Role: Senior Data Scientist, Campaigns
• Company: Bolt Technology
• Location: Berlin, Berlin, Germany
• Employment Type: Full-Time
• Category / Department: Various
• Salary: Competitive / Not Disclosed — confirm during interview
• Listing Source: Arbeitnow

Job Description

<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!

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<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!
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<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.
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<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!
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</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>
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Find more English Speaking Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume and application screening
2. Introductory phone or video call with HR
3. Role-specific skill or competency interview
4. Final interview with the hiring manager or panel
5. Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

Bolt Technology is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Berlin, Berlin, Germany. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Senior Data Scientist, Campaigns position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.