Senior Data Scientist

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. 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. This position provides avenues for continuous professional development, flexible work options, and participation in an inclusive and diverse work environment.

• Develop end to end implementation of machine learning models (e.g. demand forecasting, pricing optimization, customer lifetime value and churn prediction models)
• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
• Collaborate with the stakeholders at various levels to propose, discuss and drive meaningful scientific solutions to solve their business problems
• Act as a reliable expert in data science and ML, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data team.

• 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).
• 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.
• Possession of comprehensive knowledge regarding various models and algorithms, coupled with the discernment to apply them appropriately to a given challenge.
• Hands-on experience with modern data science tools and languages (Python, Pandas, Scikit-learn, etc.), as well as ML frameworks (TensorFlow, PyTorch, XGBoost, etc.).
• Strong analytical and problem-solving capabilities, with the aptitude to interpret complex datasets.
• Strong experience in the productionalization and operationalization of machine learning models using standard CI/CD methodologies.
• Exceptional communication and presentation abilities, complemented by a strong team spirit and a collaborative working style.
• Self-driven, curious, and proactive in staying current with developments in ML, MLOps, and cloud computing.

Here are just a few examples of the ERGs fostering connection:

• LGBTQIA+ Network – Advocating for inclusivity and championing allyship.
• Bookclub – Encouraging cultural exchange, fostering discussion, critical thinking, and team engagement through shared reading and analysis.
• Blacklane Cares Leave – Spend up to eight paid hours annually volunteering for causes meaningful to you.

We welcome—and actively support—employees to create or join the communities that are important to them.

• Fair Pay & Shared Success → We provide good salaries and automatically enroll all employees in our Virtual Stock Options Plan (VSOP). Your shares vest over four years, with full transparency on their value growth through Ledgy.
• Blacklane Mystery Rides → As a valued contributor to our success and growth, we are pleased to offer you one complimentary ride per quarter to experience and evaluate our chauffeur services firsthand.
• Learning & Development at Blacklane → We value the person beyond the CV, which is why we are committed to your continuous growth—not just for the company’s success, but for your own professional development. We believe that when our employees stay ahead, so does Blacklane. That’s why you have free access to thousands of online courses on LinkedIn Learning, tailored to your career aspirations, along with a unique learning experience designed for those stepping into leadership roles.
• The way to your heart goes  through your stomach? → If so, we’ve got something special for you, in Berlin: our weekly homecooked, quality office lunches. Not only do they fuel your mind and body, but they also provide the perfect opportunity to connect with colleagues from all departments, fostering stronger bonds beyond your own division.
• Your Health, No Compromise → with Nilo Health & WHOOP
  We prioritize both your mental and physical well-being because a healthy team creates a thriving culture. That’s why we offer access to the Nilo Health platform for mental wellness and the WHOOP bracelet, after one year to support your fitness—available for you to use as you choose.
• Social responsibility → We Care: Learn more about Miracle flights and the meaningful impact behind our commitment to making a difference.
• Share your ideas with Blacklane’s C-Level - Our approachable C-Level team values your insights. Once a month, they host a consultation day where you’re invited to share your ideas, feedback, and constructive criticism—because your voice shapes our future.
• Thrive Together: Our Hybrid Office Culture: At Blacklane, we believe in the power of in-person collaboration and connection. That’s why we follow a hybrid, 3 office day focused approach. This supports both our fast-paced growth and the building of strong, engaged teams. We know everyone’s situation is unique, so our hybrid setup still allows for flexibility when needed. If you’re excited about contributing in a dynamic, people-driven environment and value both teamwork and personal accountability, we’d love to hear from you!

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!

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→ Blacklane is backed by investors who share our vision: Mercedes-Benz Mobility, Tasaru, Sixt, the Al Fahim Group, Alstin Capital, RI Digital Ventures, and b2venture