Ready for a challenge?
About this role
As a Data Science Manager for the Logistics online world, you will be responsible for developing well-engineered, robust, and high-quality data-driven solutions and platforms that drive optimization and strategic insights for our global logistics business. You will play a key role in shaping the vision and execution of data science initiatives, ensuring alignment with business needs and strategy.
* Location: Berlin, London, or Amsterdam
* Reporting to: Leadership team of the Product Logistics Data & Analytics team
These are some of the key ingredients to the role:
* Team Leadership: Lead and coach a team of 10-15 highly talented data scientists and operations research scientists including team leads.
* Technical Collaboration: Work alongside the machine learning manager to drive the development of scalable machine learning models and robust optimization algorithms to solve complex logistics challenges.
* Stakeholder Management: Join the leadership team of the Product Logistics Data & Analytics team, understanding stakeholder needs and presenting potential solutions.
* Cross-Functional Synergy: Collaborate closely with the product and engineering team leads to build and deploy machine learning and optimization services on our platform.
* Culture of Innovation: Foster a culture of experimentation and innovation within the team, promoting best practices for model development, deployment, and monitoring.
* KPI Ownership: Own and enhance key logistics KPIs, ensuring that our products move in a data-driven and target-oriented direction.
* Communication: Present actionable insights through strong data visualization and clear communication, influencing the strategic direction of product logistics.
What will you bring to the table?
We're looking for a collaborative, proactive, flexible, and detail-oriented individual with a passion for innovation. Your technical toolkit should include:
* Educational Background: A Master's or PhD degree in a quantitative field such as Data Science, Operational Research, Industrial Engineering, Mathematics, Statistics, or Computer Science.
* Proven Experience: A proven track record of delivering data science and optimization solutions in a company environment.
* Advanced Analytics: Proven experience applying advanced analytics techniques such as machine learning, optimization, and mathematical programming.
* Technical Proficiency: Proficiency in programming languages like Python or Java, and experience working with cloud-based platforms like AWS / GCP.
* Leadership Skills: Strong leadership skills with the ability to inspire and manage cross-functional and multi-cultural teams.
* Project Management: Strong project management skills with the ability to influence, work effectively, and execute projects.
At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers.
Inclusion, Diversity & Belonging
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