Applied Scientist - Logistics Algorithms (all genders)

United States Digital Space LLC; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Employee shares program

Discount programs (fashion/beauty)

Volunteer days

Work from abroad

Vacation (27 days)

Relocation assistance

Family services

Health and wellbeing options

Mental health support

Zusammenfassung

United States Digital Space LLC in Berlin seeks an Applied Scientist to contribute to algorithmic research-driven software development for a logistics team. You will help design, prototype, and implement production software that enables fast, data-driven decisions in scheduling, planning and routing within warehouses.

We value strong quantitative training (Master’s or PhD) and practical application of operations research, statistics, and machine learning, with experience in a collaborative agile

Qualifikationen

• Master's or PhD in Mathematics, Computer Science or related quantitative field.
• Strong understanding of algorithmic techniques and mathematical modeling.
• Experience with machine learning approaches and forecasting is a plus.
• Ability to collaborate in an agile cross-functional team.

Aufgaben

• Contribute to research, design, and implementation of algorithms and predictive models.
• Deliver end-to-end solutions from research to production software in a highly available system.
• Influence research and development methodologies for scalable, data-driven architecture.
• Coach and share knowledge with other Applied Scientists.

Kenntnisse

Mathematics

Computer Science

Operational research

Machine learning

Algorithm design

Data processing

Ausbildung

Master's or PhD in Mathematics/CS

Jobbeschreibung

OrtGermany - BerlinVertragFull timeJob-KategorieApplied Science & Research

THE ROLE AND THE TEAM

As an Applied Scientist, you will contribute to algorithmic research-driven software development in a logistics team. At the company, we process millions of customer orders every week and our systems make critical scheduling, planning, and routing decisions within our warehouses. Predictive warehousing allows us to preemptively take actions, which improve the warehouse efficiency by solving a stochastic optimization problem, at the crossroads of combinatorial optimization and data science. Our research pipeline enables fast incremental improvements which together with the scale of our decisions has a direct impact on the productivity of our warehouses.

INCLUSIVE BY DESIGN

At the company, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Contribute to the research, design, and implementation of algorithms and predictive models.
• Deliver with the team end-to-end solutions, which includes research, prototyping, implementing production software, as well as testing and operating the highly available production system.
• Influence our research and development methodologies to foster a scalable and data-driven architecture.
• Support and coach other Applied Scientists by sharing your knowledge and expertise in applied research.

WE’D LOVE TO MEET YOU IF

• You hold a Master’s or PhD in Mathematics, Computer Science, or another quantitative field, ideally with real-world applications in the context of operational research and machine learning.
• You demonstrate a practical and theoretical understanding of various algorithmic techniques (e.g., from combinatorics, graph theory, control theory), mathematical modeling (e.g., from operations research, statistics, experimentation), and machine learning approaches (e.g. forecasting, Bayesian networks).
• You are passionate about solving interesting mathematical problems and seek more real-world impact.
• Experience with software engineering related to microservice architecture or data processing is a plus.
• Your strengths extend to your ability to effectively collaborate within an agile and cross-functional team environment, engaging with engineers, product owners, and fellow applied scientists.

Want to know what kind of problems you will be working on? You can find on this google doc a stochastic optimization problem that showcases an example. If you like solving mathematical puzzles, send us your solution instead of uploading a cover letter.

OUR OFFER

the company provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program
• 40% off fashion and beauty products sold and shipped by the company, 30% off the company Lounge, discounts from external partners
• 2 paid volunteering days a year
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available