Senior Engineering Manager â Data Science (Pricing & Fleet Optimization) (m/f/d)
Senior Engineering Manager â Data Science (Pricing & Fleet Optimization) (m/f/d)
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Job Description
As a Senior Engineering Manager at SIXT you will own the endtoend success of the machinelearning products that set our prices and optimize our global fleet. Youll lead a 1015person squad of Data Scientists and MachineLearning Engineers shape our technical roadmap and cultivate the next generation of engineering leaders. If you thrive at the intersection of data science product and people leadershipjoin us and make an impact at worldwide scale!
YOUR ROLE AT SIXT
You will lead with vision. Provide technical and people leadership for our Pricing & Fleet Optimization product line ensuring we ship scalable highperformance solutions.
You will own the architecture. Design serverless and microservice pipelines that handle millions of pricing requests per day backed by ML and linearprogramming models.
You will grow great people. Linemanage 1015 Data Scientists and MLEs; create growth plans and mentor future Engineering Managers transitioning them to leadership roles within 12 months.
You will shape the roadmap. Translate commercial goals into measurable ML milestones; quantify opportunity cost run A/B tests and unlock incremental margin across business units.
You will drive engineering excellence. Champion code quality CI/CD observability and a strong incidentresponse culture.
You will influence at scale. Communicate complex technical tradeoffs in clear nontechnical language and secure buyin from executive stakeholders
YOUR SKILLS MATTER
You have 10 years building and shipping AI/ML products for large enterprisesideally in pricing revenuemanagement or supplychain optimization.
You have 5 years of engineeringmanagement experience including mentoring ICs and emerging leaders.
You have deep expertise in machine learning linear programming and optimization techniques.
You have handson mastery of Python (NumPy Pandas/Polars Dask TensorFlow/Keras/PyTorch); and proven experience with serverless architectures (e.g. AWS Lambda GCP Cloud Functions) microservices and eventdriven systems (e.g. Kafka Pub/Sub).
You are comfortable operating in ambiguous fastmoving environments with evolving requirements. Outstanding written and verbal communication and storytelling skills.
Bachelors or Masters in Computer Science or related field; PhD a plus.
Your Nice to Have: Prior work on dynamic fleet dispatching or price optimization. Familiarity with A/B experimentation and causal inference. Contributions to opensource ML or infrastructure projects.
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs external conferences and internal dev & tech talks designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
Additional Information :
About us:
We are a globally leading mobility service provider with a revenue of 4.00 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (taxi ride and chauffeur services) and SIXT (car subscription) giving our customers access to our fleet of 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 rental stations. At SIXT top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
