Applied Scientist (All genders)

Reposted 6 Hours Ago
Be an Early Applicant
Berlin, DEU
In-Office
Mid level
eCommerce • Retail
The Role
The Applied Scientist will develop marketing effectiveness models, optimize audiences, manage marketing investments, and collaborate with senior scientists using advanced analytics and modeling techniques.
Summary Generated by Built In

THE ROLE & THE TEAM

The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel. We extend the Zalando experience beyond our platform, connecting customers with the fashion inspiration and shopping convenience they love. By leveraging cutting-edge technology, we ensure our marketing is relevant, engaging, and deeply respectful of customer privacy.

We collaborate closely with product managers, engineers, and analysts to refine our industry-leading marketing engine.

WHAT THE TEAM DOES

  • Rigorous Experimentation: Establishing the "ground truth" framework for measuring marketing effectiveness.

  • Advanced Modeling: Building attribution models to value touchpoints and propensity models to refine targeting.

  • Audience Optimization: creating customer uplift models to identify incremental value and building audiences that improve marketing efficiency.

  • Marketing Investment Optimization: Steering external advertising platforms and optimizing marketing spend to align with core business objectives.

In this particular role, you will collaborate closely with Senior and Principal Applied Scientists within Zalando to ensure that we are making the right investment decisions when it comes to advertising channels. To do so, you will leverage elasticity modeling, forecasting, and mathematical optimization to solve for multi-objective optimization under constraints and uncertainty.

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

  • End-to-End ML Ownership: Own the entire machine learning lifecycle within your project scope - from initial research and formulation to scaling and monitoring - directly driving the evolution of our marketing steering engine.

  • Bridge Research & Production: Partner closely with our engineering teams to transition sophisticated modeling POCs into robust, highly-tested, and fully deployed production systems.

  • Elevate the Technical Culture: Foster and initiate cross-team knowledge sharing, establishing best practices in ML and MLOps to elevate both the technical depth and breadth of our broader data science community.

  • Collaborate as a Trusted Partner: Act as a strategic technical partner for product and commercial stakeholders, translating complex algorithmic concepts into clear business strategies and solving high-impact problems across all organizational levels.

WE’D LOVE TO MEET YOU IF YOU HAVE…

  • A strong academic foundation (PhD preferred) in Econometrics, Statistics, Machine Learning, Optimization, paired with practical industry experience, preferable within marketing science.

  • Proven experience building, deploying, and productizing ML models and a theoretical understanding of them to independently tackle concrete research problems and autonomously finding a path to a simple and fast solution, before iteration.

  • Proven experiences in applying forecasting techniques in the context of Pricing or Marketing or (linear/mixed integer) optimization techniques.

  • Proficiency in Python, SQL, and PySpark, with a commitment to high coding and packaging standards, including active participation in code reviews and elevating the team's engineering culture.

  • A self-starter with a proven track record of architecting data science frameworks in high-ambiguity environments.

  • Demonstrated experience guiding, upskilling, and mentoring mid-to-junior data scientists and driving the team's technical roadmap. 

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

  • 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

  • Drive your development through our training platform and biannual peer-to-peer review

  • Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
     

INCLUSIVE BY DESIGN

At Zalando, 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. 

  • do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
    Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

Skills Required

  • Experience with Deep Learning or Linear/Mixed Integer Optimization problems
  • Advanced coding and packaging skills in Python
  • Experience with big data processing tools such as PySpark and SQL
  • Experience in MLOps, deploying models to production
  • Good communication skills for translating complex concepts to non-technical audiences
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The Company
HQ: Berlin
10,000 Employees
Year Founded: 2008

What We Do

Welcome to Zalando. Here’s some key info about us: Our position and vision: - We’re Europe’s leading online platform for fashion and lifestyle - Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty - Our vision is to become The Starting Point For Fashion. Our offering: - Our assortment of international brands ranges from world-famous names to local labels - Our platform is a one-stop fashion destination for inspiration, innovation, and interaction - As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand. - Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs. Our beliefs: - Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I - We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.

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