Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

We are looking for a Data Lead for our FinTech Product organization (m/f/d) to drive data-centric strategy across our financial products and fraud prevention capabilities. You will use data to balance growth, user experience, and marketplace risk — ensuring our payment, payout, and fraud prevention products are safe, scalable, and high-performing.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

The FinTech Data team plays a pivotal role in driving data-centric processes, analyses, experiments, and strategic development for the FinTech Product organization. 

As the Lead of the FinTech Data team, you will be at the forefront of translating data insights into tangible business value. Working in close collaboration with Product leaders in Fraud & Risk, Payments, and User Experience topics, you will establish effective communication channels between the data team and the broader Product  organization. Your role will extend to collaborating with fellow Data Leaders and Principals, fostering cross-domain teamwork, and ensuring the adoption of industry best practices.

Your primary responsibility will be to lead a dynamic cross-functional data team consisting of Data Analysts, Data Scientists, and Data Engineers. Through your leadership, you will empower and coach the team, enabling them to deliver optimal results across FinTech’s critical domains. If you are eager to uncover new potential and contribute to propelling Freenow to a stronger position, here is your chance to make a significant impact.

In more detail this means… 

• By using strategic thinking based on the FinTech business function and company’s strategy, help the team to identify, understand, structure, and solve complex problems across payments, fraud prevention, credit risk, and payout operations, and improve and productionize high-value data products
• Owning and advancing fraud prevention data procedures, balancing customer experience with risk mitigation. Guide the team on identifying fraud patterns, building creditworthiness models, and ensuring the right balance between prevention and user conversion
• Motivating your team to deliver amazing data products by focusing on the outcome rather than output, besides ensuring that the team has the right level of information to make informed decisions across all FinTech domains
• Aligning with your stakeholders to deliver the highest impact with available capacities, always seeking to improve the existing and striving for decisions and actions that drive our business’s success
• Ensure we are launching valuable experiments, with reliable test designs, besides using statistical methods to measure the impact of FinTech features and risk-related improvements, and make sure that we are launching the correct changes in our financial products
• Mentoring and coaching team members in order to help them grow professionally to the next level, cultivating a growth and continuous learning mindset, leading by example and being a role model
• You will steer our FinTech products’ data strategy, informing which features should be developed and which changes should be made to ensure safe, scalable, and efficient financial flows for millions of users

TO BE SUCCESSFUL IN THIS ROLE:

• You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results
• Previous experience in leading and developing top performing data teams, preferably within tech, product, or FinTech organizations. Experience managing cross-functional teams with mixed data disciplines (Analysts, Scientists, Engineers) is highly valued
• Exceptional analytical skills, lateral thinking, and proven experience in solving highly challenging problems 
• A history of leading and supporting successful data projects and the ability to define and communicate project objectives, resources, timelines and methodologies clearly to all stakeholders
• Understanding of payment processes, fraud prevention, and credit risk. Familiarity with industry standards, fraud patterns, and creditworthiness modelling is a strong advantage
• Hands-on mentality, not afraid to proactively get their hands dirty in order to accelerate the generation of new insights
• Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R)
• Good understanding and hands-on experience in analysing and interpreting A/B test results, backed by statistical knowledge. Experience in causal methodologies is a plus
• You understand how to engage and influence decision-makers by using data visualisation and storytelling
• Have excellent English communication skills, being capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?