Senior Research Scientist Vehicle Routing Optimisation (mfd)

Flink; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A fast-growing logistics company in Berlin is seeking a Senior Research Scientist to architect and improve rider routing algorithms. This role focuses on solving complex optimization challenges, impacting millions of deliveries. The ideal candidate has a Ph.D. and proven experience in large-scale optimization, with expertise in MILP and programming skills. The position offers a supportive environment with opportunities for growth and learning, and is not remote.

Leistungen

1000 EUR annual L&D budget

26 days of vacation

35 EUR monthly mobility budget

Discount on Urban Sports Club membership

Attractive company pension options

Access to e-learning platform

Discounts on personal Flink orders

Modern office in Berlin

Qualifikationen

• Industry experience in developing large-scale optimization models for logistical challenges.
• Deep expertise in advanced optimization methodologies.
• Mastery of commercial or open-source optimization solvers.

Aufgaben

• Architect state-of-the-art optimization models for vehicle routing and dispatching.
• Collaborate with a team to translate business requirements into solutions.
• Drive the scientific roadmap for the dispatching system.

Kenntnisse

Mixed-Integer Linear Programming (MILP)

Column Generation

Meta-Heuristics

Python programming

C or Java programming

Ausbildung

Ph.D. or Masters in Operations Research, Computer Science, or Applied Mathematics

Tools

Gurobi

CPLEX

SCIP

Jobbeschreibung

Overview

Our promise of delivering groceries to your doorstep in minutes is powered by a complex real-time logistics network. At the very core of this network is our dispatching system the brain that determines how to efficiently sustainably and incredibly quickly deliver thousands of orders to our customers.

To support the continued development of this system we are looking for a Senior Research Scientist (m/f/d) to join our team and become a key architect of this brain.

This is not just an academic challenge; it’s a real-world optimization puzzle. You will be responsible for designing, developing and evolving the next generation of our rider routing algorithms. Your work will directly impact millions of deliveries hyper-efficient routing on our e‑bike fleet and ultimately define the customer experience. You will push the boundaries of what’s possible in last‑mile logistics tackling dynamic routing problems where demand traffic and rider availability change every second.

Responsibilities

• Architect and implement state-of-the-art optimization models to solve complex vehicle routing and dispatching problems at a massive scale.
• Leverage your deep expertise in techniques like Mixed-Integer Linear Programming (MILP), Column Generation and Meta‑Heuristics to find novel solutions.
• Own the entire lifecycle of your models from theoretical conception and prototyping to production deployment and performance analysis.
• Collaborate closely with a world‑class team of software, data scientists, MLE engineers and product managers to translate complex business requirements into tangible high‑impact solutions.
• Drive the scientific roadmap for our dispatching system ensuring Flink remains the leader in quick commerce efficiency and innovation.

Qualifications

• A Ph.D. or Masters degree in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics or a related quantitative field.
• Proven industry experience in developing and deploying large‑scale optimization models for real‑world logistical challenges.
• Deep theoretical and practical expertise in advanced optimization methodologies specifically MILP, Column Generation and/or Meta‑Heuristics.
• Mastery of using commercial or open‑source optimization solvers (e.g., Gurobi, CPLEX, SCIP) and the ability to select the right tool for the job.
• Strong programming skills (Python, C, Java or similar) and experience building production‑ready code.
• Significant domain knowledge in the last‑mile logistics space with a strong understanding of Vehicle Routing Problems (VRP) and their many variants (e.g., VRP with Time Windows, Dynamic VRP).

Bonus Points

• Experience with stochastic and dynamic optimization.
• Familiarity with machine learning models that can complement optimization such as travel time prediction.
• Experience working in a fast‑paced high‑growth tech environment.

Benefits

• A 1000 EUR annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals.
• 26 days of vacation, 1 day every year up to a maximum of 30 days.
• A mobility budget of 35 EUR per month for a Deutschland Ticket subsidy.
• A discount on your Urban Sports Club membership.
• Attractive company pension options.
• Unlimited access to an e‑learning and development platform MyAcademy including online German courses.
• Online discounts with Corporate Benefits and Future Bens.
• A cool discount off your personal Flink orders; be the first to test out new products!
• A modern and dog‑friendly office in the heart of Berlin – lots of delicious lunch spots available within short walking distance.

Remote Work

No

Employment Type

Full‑time

It is our commitment that every applicant will be evaluated according to their skills regardless of age gender identity ethnicity sexual orientation disability status or religion.