Applied Science Manager - Traffic & Pricing Platform (w/d/m)

☞ Zalando

View: 164

Update day: 07-10-2024

Location: Brandenburg Bremen

Category: R & D IT - Software

Industry: Internet Retail Information Technology Services

Position: Executive

Job type: Full-time

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Job content

You will join the team responsible for Zalando’s AI-fueled online marketing. Since Spring 2018 we grew from 20 to over 60 applied scientists, engineers and product managers to revamp our marketing with AI in a world of increasing user privacy.

As an Applied Science Manager of the Traffic Platform Applied Science team you will enable talented scientists to deliver effective and scientifically-sound solutions to our main business problems estimating and optimizing the return on online marketing investment. Open-research problems are involved, at the intersection of econometrics, statistics, causal inference, reinforcement learning, giving opportunities for scientific contributions.

We are looking for a leader with passion for Machine Learning or Econometrics, with experience in driving change through high uncertainty. You will support the team working in a structured and transparent way and achieve results that we can all proudly celebrate.

This position is a unique opportunity to have visible impact, and connect with exceptional talents from many different backgrounds.

WHERE YOUR EXPERTISE IS NEEDED

  • Team Management Recruit, empower and support Applied Scientists, reviewing and guiding their work, creating conditions for high-quality deliveries and career growth.
  • Project Management Support the team in defining and executing roadmaps, in a way that integrates the high level of uncertainty and complexity involved in our projects.
  • Applied Science Excellence Raise the bar, engage the team into defining and adopting always better standards in Applied Science and Software Engineering.
  • Communication and Leadership As a scientific competence center make sure the team collaborates smoothly with other teams and other job functions.

What We’re Looking For

  • Expertise (MSc, preferably PhD) in a quantitative field (Econometrics, Statistics, Mathematics, Physics), at a strong senior level.
  • Experience (2Y+) in people and/or project leadership under uncertainty and ambiguity.
  • Proven track record in developing solutions from initial idea to production .
  • Excellent communication skills, clarity and structure.
  • Analytical thinking and attention to detail our field is characterized by complexity where details matter, therefore we are in constant need for rigorous and detailed reviews of our initiatives.

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.

Zalando SE

Zalando is Europe’s leading online platform for fashion and lifestyle, 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 35+ million active customers through diverse skill-sets, interests and languages our teams choose to use.

Please note that all the applications must be completed using the online form - we do not accept applications via e-mail.
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Deadline: 21-11-2024

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