Principal Applied Scientist - Experimentation (all genders)

As a Principal Applied Scientist for Experimentation you will drive the quality of our Experimentation practice at Zalando. Leveraging recent advances in experimentation science, you develop innovative methods to support high-stake decision making and ensure that those methods become available to the right audience at Zalando through our Experimentation Platform.

For you to excel, you will need to demonstrate a blend of scientific depth and can-do attitude, as there is no shortage of opportunities where you can apply recent advances to practical applications and scale. Our corporate strategy requires us to not only understand traditional A/B experiments in depth but also explore and develop alternative designs and experimentation domains.


WHERE YOUR EXPERTISE IS NEEDED

• Bring in your strong scientific experience to develop and deploy advanced experimentation methods at scale
• Support high stakes experiments and problems in a range of experiment domains and ensure decisions are made from robust insights
• Set and own the processes to improve the quality of experimentation across Zalando experimentation domains
• Work closely with applied science leaders, product managers and other business stakeholders to bring our state of the art solutions to customers and to discover and identify new opportunities.
  
  
  

What We Are Looking For

• PhD in Econometrics, Statistics, Mathematics, Physics, Operations Research or related field with at least 4 years of industry experience in applied Experimentation or Statistics.
• Expertise in 2 or more of the following areas
• Advanced experiment designs network experiments, bandit-based experimentation, interleaving, switchback experiments
• Applied high dimensional statistics, variance reduction techniques
• Long term, heterogeneous treatment effect estimation
• Bayesian approaches to A/B testing
  
• Experience building and leading Causal Inference products; from the problem analysis and data selection to their production deployment.
• Deep understanding of the theory behind the state-of-the-art methods in your domain as well as a broad overview of data science best practices in your field
• Data intuition extensive experience of working with large online datasets, ability to identify appropriate statistical modeling assumptions and approaches.
• Coding skills in Python and/or R as well as experience with common big data processing and manipulation tools such as Spark and SQL
• Nice to have experience with Cloud Computing frameworks (e.g., AWS), other programming languages such as Scala
  
  
  

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 email