Senior Data Scientist

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Barcelona, Cataluña
In-Office
Senior level
Travel
The Role
The Senior Data Scientist will design and maintain machine learning systems, collaborating with various teams to optimize operations and address business challenges.
Summary Generated by Built In

 YOUR CHALLENGE:As a Senior Data Scientist within Blacklane's central data domain, you will leverage scientific and mathematical methodologies to address complex data challenges prevalent in the mobility and luxury transportation sector. In this role, you will also play a key part in scaling the data science team by owning and evolving our machine learning platform and operating model. This role involves close collaboration with product, engineering, and other data teams to enhance profitability, optimize costs, and accelerate growth. You will also engage with diverse business stakeholders globally. Beyond individual use cases, you will be responsible for how machine learning solutions move from idea to production and remain reliable over time. This position provides avenues for continuous professional development, flexible work options, and participation in an inclusive and diverse work environment.
  • Design, build, and maintain end-to-end machine learning systems, supporting use cases such as demand forecasting, pricing optimization, customer lifetime value, and churn prediction.
  • Establish best practices for experimentation, reproducibility, and model evaluation, while analyzing complex datasets to uncover trends, patterns, and actionable insights.
  • Collaborate with cross-functional teams to understand business needs and translate them into scalable scientific and machine learning solutions.
  • Collaborate with stakeholders at various levels to propose, discuss, and drive scalable data science solutions, clearly communicating tradeoffs and impact.
  • Design and evolve shared ML pipelines, tooling, and standards to enable the team to scale efficiently and safely
  ABOUT YOU:
  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field.
  • Minimum 5 years of experience in a data science or machine learning engineering role.
  • Proven track record in designing and deploying machine learning models into production environments, especially using AWS services (e.g. SageMaker, EC2, S3, Lambda, Step Functions).
  • Experience working with cloud-based ML platforms (e.g. AWS SageMaker or equivalent services).
  • Demonstrated proficiency in modeling business problems through the application of machine learning techniques, including feature engineering, model selection, implementation, evaluation, and parameter tuning.
  • Ability to translate business challenges into mathematical and statistical problems, subsequently proposing and implementing data science solutions.
  • Strong judgment in selecting appropriate models and designing systems that balance accuracy, reliability, and scalability.
  • Hands-on experience with modern data science tools and ML frameworks, combined with experience building or improving shared ML pipelines and tooling.
  • Strong analytical and problem-solving capabilities, with the aptitude to interpret complex datasets.
  • Strong experience operationalizing machine learning systems end to end, including CI/CD, automation, monitoring, and retraining.
  • Exceptional communication skills, with a collaborative mindset and experience influencing technical direction across teams
  • Self-driven, curious, and proactive in staying current with developments in ML, MLOps, and cloud computing.
 About Blacklane
Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.Our Company Culture & Values
Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Our culture is powered by our commitment to three core values: Care, Drive and Excellence.  
  • Care - We are invested in each other's well-being and professional growth. 
  • Drive - We act with pace and determination. We are ambitious, committed to a growth mindset, and champion ownership and delivery.
  • Excellence - We understand our customers so we can exceed expectations. 
We support our people through initiatives like Employee Resource Groups (ERGs), mentorship programs that bring our values to life.
✨ Why join Blacklane?

At Blacklane, our Compensation and Benefits strategies are designed to be fair and market-aligned. We combine base salary with variable elements and long-term incentives as part of our overall rewards framework. All employees participate in our company-wide Virtual Stock Option Plan (VSOP), sharing in Blacklane’s long-term success.

In addition, we offer a benefits package tailored to each location, supporting health, wellbeing, time off, learning, and local needs. Some of the benefits for this role and country include:

Local perks – Spain (Barcelona)
💙100% employer-paid health insurance for you and your dependents
🌴 28 vacation days per year, increasing with tenure
🍽️ 60€ / month Glovo budget for meals
💪 Your Mental and Physical Health → No compromise with Nilo and Wellhub
🏡 Monthly home office allowance to support remote work setup
🎓 Continuous learning & certified coaching
🏢 Weekly co‑working space access in Barcelona
🚀 Fair pay and shared success through our VSOP program
🚘Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane and experience our service from a guest’s perspective.

Do you have any questions or want to know more about our way of working? Feel free to contact us. We’re happy to connect!

We place great value on equal opportunities. Therefore, we welcome everyone to apply!


Top Skills

AWS
Ec2
Lambda
Machine Learning
Python
S3
Sagemaker
Step Functions
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The Company
HQ: Berlin
2,011 Employees
Year Founded: 2011

What We Do

Our global chauffeur service brings peace of mind to business travelers moving through a fast-paced world.

Our crew’s dedication to safety, reliability, and smart technology places us at the forefront of a new era of stress-free business travel. Since 2017, the company has been carbon offsetting every ride, combining a high-end guest experience with care for the planet.

Enjoy a private and convenient five-star service for all of your airport transfers, City to City, and in-city rides. Upgrade your travels on Blacklane’s mobile app or website

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