We’re hiring a Senior Data Analytics Manager, Applied Marketing Measurements to lead the function that powers measurement, experimentation, and targeting across all of Bolt Marketing, from Performance and Brand to Lifecycle CRM. This role is your opportunity to shape how we drive measurable impact across 300+ markets and 100M+ users.

With over 200 million customers 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, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You’ll lead a team of senior analytics experts responsible for developing the frameworks and tooling that enable Bolt’s marketing analytics and operational teams to make the best decisions every day, rom at-scale customer targeting to multi-million euro investments in advertising and branded campaigns. This is a global, cross-functional leadership role with high visibility and ownership. You’ll collaborate closely with leaders across Marketing, Product, and Data.

• Lead a team of 3–5 Senior/Lead Data Analysts covering Performance, Brand, and CRM Marketing domains.

• Own strategy and implementation of frameworks for causal inference, segmentation, uplift modeling, experimentation, and other similar areas.

• Drive the measurement roadmap with internal and external stakeholders (Directors to SVPs of Bolt departments).

• Build internal tools and models that enable scalable personalization and accurate marketing measurement.

• Partner with internal teams and external vendors (e.g. Google, Meta, Braze) to shape tooling and playbooks.

• Ensure methodological excellence and operational efficiency across hundreds of campaigns and millions of communications.

• 5+ years of experience in analytics, data science, or experimentation, ideally in a large tech environment.
• MSc in Mathematics, Economics, Statistics, or other quantitative fields.
• Strong hands-on skills in SQL and either Python or R; deep understanding of statistical inference methods.
• Proven leadership experience managing technically strong analysts or data scientists.
• Excellent verbal and written communication skills, English fluency.
• Bonus if you have a PhD in quantitative field, research experience, or prior work experience with marketing or customer analytics.

Experience is great, but we also look for 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!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ 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 with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

The Game Designer, Mathematician is a senior individual contributor responsible for designing the functional mechanics and mathematical models of original online casino games developed by RSI’s in-house game studio. The Game Designer defines features, bonus structures, paytable economics, and underlying math models that determine how games play, perform, and engage players, while also contributing to the design and optimization of site-wide promotional and gamification mechanics that reflect the RSI brand.

The Game Designer owns the full functional design-to-model lifecycle for each game, from initial concept and feature design through mathematical modeling, PAR sheet creation, simulation validation, and iterative tuning, in close collaboration with engineering, product, and creative teams. The position requires deep expertise in casino game mathematics and mechanics design, as well as the ability to develop compliant games within a fast-paced, regulated environment while delivering engaging, commercially viable player experiences aligned with the RSI brand.

What You'll Do:

• Design and define the functional mechanics for original online casino games, including base game structures, bonus round triggers and flows, progressive jackpot systems, gamble features, cascading/grid-style mechanics, and meta-game experiences
• Build the complete mathematical models for each game, including RTP targets, volatility profiles, hit frequency, standard deviations, prize distribution, and payout structures
• Create and maintain PAR sheets, combination sheets, and all regulatory math documentation required for internal review, testing laboratory certification and regulatory approvals
• Define symbol hierarchies, paytable structures, reel layouts (including non-traditional formats such as grid slots and cluster-pay), win-line configurations, and feature trigger conditions
• Build and run simulation code (Python, C++, C#, Javascript, or equivalent) to validate math models, verify behavior across gameplay scenarios, and test edge cases
• Write demo and prototype code to rapidly test mechanic concepts before full production commitment
• Evaluate existing casino concepts for adaptation into RSI’s online real money gaming environment
• Create comprehensive Game Design Documents (GDDs) and functional specifications for engineering, art, audio, and production teams
• Ensure all math models meet regulatory requirements across RSI’s operating jurisdictions, adapting designs for market-specific RTP ranges, win caps, odds requirements, and fairness standards
• Play-test and iterate on in-development games, providing feedback on math balance, mechanic feel, feature pacing, and edge case behavior
• Analyze post-launch game performance data and recommend math and mechanic adjustments to live games
• Maintain and contribute to RSI’s internal game design standards and style guides
• Collaborate with creative leads by providing functional specifications and mechanic requirements that inform visual and thematic direction
• Work with software engineers to verify math implementation in code and review game software during development
• Partner with designers and product managers to brainstorm concepts, refine games in progress, and share best practices

What You'll Bring:

• Bachelor’s degree in mathematics, statistics, applied mathematics, computer science, physics, engineering, or a closely related quantitative field required. Master’s degree or higher in a quantitative discipline preferred.
• 8+ years of direct, hands-on experience in slot game design and/or slot game mathematics within a land-based or online casino game studio environment. This is a non-negotiable requirement — candidates without direct slot game experience will not be considered.
• Expert-level knowledge of casino game mathematics: RTP calculation, volatility modeling, hit frequency analysis, standard deviation, prize distribution, combinatorics, and probability theory
• Proven ability to design engaging slot game mechanics across different gambling concepts and styles, including innovative feature structures, bonus flows, progressive/jackpot systems, and paytable economics
• Proficiency in building and running game math simulations and verification scripts using Python, C++, C#, Javascript or equivalent programming languages
• Advanced Excel skills for probability modeling, paytable prototyping, and large-dataset analysis
• Deep familiarity with PAR sheet creation and regulatory documentation standards for online and/or land-based slot games
• Strong understanding of player psychology, behavioral engagement patterns, and what makes slot games commercially successful
• Excellent communication skills with the ability to translate complex mathematical concepts into clear documentation for both technical and non-technical audiences #LI-REMOTE #LI-PROMOTE

The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
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!
 

 
 
You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
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!
 

 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ 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 with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

  *Some perks may differ depending on your location and role.