APPLIED SCIENTIST (FORECASTING) - MARKETS (ALL GENDERS)

Zalando SE; Berlin; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking an Applied Scientist specializing in forecasting to join their innovative team in Berlin. In this pivotal role, you will leverage your expertise in machine learning and demand forecasting to develop cutting-edge solutions that drive the success of a multi-billion dollar business. You will collaborate with talented peers, conduct rigorous research, and contribute to publications that elevate the scientific standards of the organization. This role offers a hybrid working model, generous vacation days, and a range of exciting perks, making it an excellent opportunity for those passionate about data science and its applications in a dynamic environment.

Leistungen

Employee shares program

40% off fashion and beauty products

2 paid volunteering days a year

Work from abroad for up to 30 days

27 days of vacation a year

Relocation assistance

Health and wellbeing options

Mental health support and coaching

Qualifikationen

• Strong experience in Demand Forecasting science and data science problem-solving.
• Experience in translating research into practical applications.

Aufgaben

• Develop machine learning solutions for forecasting business KPIs.
• Collaborate with teams to enhance forecasting solutions and share knowledge.

Kenntnisse

Demand Forecasting

Machine Learning

Python

Problem-solving

Causal Machine Learning

Communication Skills

Ausbildung

Strong academic background in STEM

Tools

Pytorch

TensorFlow

Databricks

AWS SageMaker

Git

Jobbeschreibung

APPLIED SCIENTIST (FORECASTING) - MARKETS (ALL GENDERS)

APPLIED SCIENTIST (FORECASTING) - MARKETS (ALL GENDERS)

Apply locations Berlin time type Full time posted on Posted 3 Days Ago job requisition id 2718579

THE ROLE & THE TEAM

As Applied Scientist (Forecasting) in the Markets organization, you will work in the Applied Science Forecasting team with exceptional Applied Scientists to create bold research experiments with today's most exciting State-of-the-Art approaches in the scientific field. You will contribute to developing cutting-edge forecasting solutions that will support the steering of Zalando’s $10Bn+ Business.

You will take responsibility for developing machine learning solutions for our multiple KPI, timescale, and time granularity forecasting problems. You will empower the team to stay up-to-date with the latest research in Forecasting Science for Demand Planning (e.g. forecasting market demand, logistics KPIs, etc). You will provide egoless and constructive scientific feedback to peers to become great researchers.

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

• You will be a senior contributor in our Applied Science team
• Take ownership in planning, developing, and monitoring the scientific solutions addressing the business problems of our stakeholders
• Rigorous approach in solving, conducting, and documenting research projects
• Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to a broader, non-technical audience
• Work closely with ML engineers, applied scientists, and product team members in the demand forecasting domain to bring our state-of-the-art solutions to customers
• Raise the scientific bar across your team and Zalando through publications in prestigious international conferences and engaging in rigorous peer reviews. Actively collaborate with other teams and share knowledge and expertise within our talented applied science community.

WE’D LOVE TO MEET YOU IF YOU HAVE

• Strong academic background in a STEM field or equivalent
• Strong experience in Demand Forecasting science
• Strong problem-solving skills for Data Science
• Experience in demand forecasting science related projects (e.g. full lifecycle of deep learning forecasting)
• Experience in translating research into application with a good balance between scientific rigor and sustained relevance.
• Experience or knowledge in causal machine learning
• Strong experience with Python in an applied context - experience with ML frameworks (Pytorch, TensorFlow, etc.) applied for forecasting problems
• Fluent business English.
• Self-driven, intrinsic motivation for result implementation (action orientation).
• Good to have: Familiarity with machine learning infrastructure and tooling, such as Databricks, Spark, relational databases, AWS SageMaker, S3, EC2, Step Functions, Git

OUR OFFER
Zalando 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 Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year (for Zalando SE)
• 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

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. This vision starts with our hiring - we do not discriminate based on 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.