Senior Applied Scientist (Lounge) - Pricing and Forecasting (m/w/d)

Recruiter
Zalando
Location
Berlin
Posted
18 Jun 2020
Closes
10 Sep 2020
Ref
2221581
Function
Technology
As a Senior Applied Scientist in the new algorithmic data products team for Zalando Lounge & Outlets, you will help lay the foundations for the first production machine learning services in Zalando Group's fastest growing business unit. You will define, design and deliver data products to help us crack business-crucial topics like pricing optimization and demand forecasting. Working closely with fellow applied scientists, product managers, engineers, and commercial stakeholders, you will have the unique opportunity to shape a brand new team with direct and visible impact on the customer.
WHERE YOUR EXPERTISE IS NEEDED
  • Conceptualize, implement and evaluate state-of-the-art algorithmic solutions for demand forecasting and pricing optimization. You're passionate about problem solving and don't mind getting your hands dirty.
  • Bring models to production by collaborating with technical and business stakeholders.
  • Drive and prioritize project work based on business and technical considerations. Mentor fellow team members and help them solve technical challenges.
  • Act as an ambassador for data science within and outside the company.
WHAT WE'RE LOOKING FOR
  • 4+ years work experience in applied data science and machine learning roles. Masters level or higher degree in a quantitative discipline preferred
  • Highly proficient in Python. Hands on experience with Docker, Git, AWS EC2, S3, ML/DL frameworks such as Tensorflow, Keras or PyTorch.
  • End-to-end experience with machine learning pipelines, including bringing data products live in a production environment, monitoring, and data quality assurance.
  • Sound theoretical knowledge about machine learning and non-linear optimization as well as knowing best practices in your application.
  • Entrepreneurial and commercially minded attitude. You're passionate about building pragmatic, scalable solutions that deliver business results.
PERKS AT WORK
  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

ABOUT ZALANDO

Zalando is Europe's leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

Lounge

Zalando Lounge is an online shopping club for fashion and lifestyle products in 11 countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. Our strength lies in our focus on fashion: from sought-after labels to niche brands - we make sure to meet the fashion taste of all our customers. Working with our brand partners, we pioneer innovative supply-chain and production processes, and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

Please note that all applications must be completed in English using the online form - we do not accept applications via email.

Similar jobs

More searches like this

Similar jobs