Senior Principal Applied Scientist - Ranking (all genders)
THE TEAM AND THE ROLE
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
- Utilise your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions, particularly in Deep Learning, Multi-objective optimisation to enhance the conversion journey of millions of our customers through product selection, ranking. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles.
- Develop
long-term roadmaps for research topics
that span multiple product areas and address concrete business goals. As part of the leadership team, be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in people, strategic direction and make or buy decisions.
- Act as a
mentor and guide to senior and principal scientists
, and actively share knowledge and expertise within Zalando's science community.
- Forge close partnerships with applied science leaders and product managers, to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth. This includes driving and delivering large delivery projects with high uncertainty in production, applying the scientific approach to solve complex challenges, and communicating and aligning with other teams, stakeholders, and senior leadership. You will support and work on deploying, developing, implementing, testing, and researching ML models for
personalisation, ranking, for the entirety of the Zalando customer journey.
PhD in Machine Learning and AI
(or equivalent experience), accompanied by 8+ years of industry experience, especially in deep learning, multi-armed bandits, or large-scale sequential decision-making systems, ideally applied to personalization, or ranking.
- Experience
leading and shaping the scientific roadmap
of teams in products that span across multiple areas and working with senior Applied Science leaders. Ability to discover new business opportunities collaborating with product, science, and engineering managers and solve business problems through scientific solutions.
- Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle, and raises department and Zalando's best practice in methods, algorithms and technology, including architecture, design patterns, and research roadmaps.
- Authority on deep learning and extensive track record in leveraging research to advance the state of the art, including
strong publication records.
- Extensive hands-on experience in
deep learning
Python
PyTorch or TensorFlow
AWS
is also required.
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 selected 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
Not included in the source posting: qualifications, benefits.
Skills
Who can apply
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