Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)

DUDE CHEM; Berlin; Hybrid; EUR 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Holiday 27 days + 1 per year up to 30

Volunteer days

Hybrid work up to 40% remote

Employee shares program

Fashion/beauty discounts

Relocation assistance

Family services

Wellbeing options

Mental health support

Training and peer reviews

Zusammenfassung

Zalando in Berlin is seeking a Senior Applied Scientist for the Pricing Platform to develop machine learning models and algorithms for the algorithmic pricing solution, leveraging deep learning and gradient boosted trees to forecast demand and manage stock risk across articles on the Zalando platform.

You will collaborate with Data Scientists, Software Engineers and Product Managers, apply ML and causal inference, deploy models in production via Databricks, and contribute to a diverse, inclusive

Qualifikationen

• Master's degree or PhD in a quantitative field.
• Strong mathematical background and analytical skills.
• Deep expertise in ML methods with PyTorch, TensorFlow or LightGBM.
• Forecasting expertise, especially high-dimensional DL-based forecasting.
• Exceptional Python coding skills and ability to apply them to data science problems.
• Experience with reproducible science using MLflow and Weights & Biases.

Aufgaben

• Develop industry-leading, article-level demand forecasting models.
• Use deep learning (NLP, Sequence Modelling) for high-dimensional forecasting.
• Drive ML operations, data analysis and deployment with Databricks.
• Apply scientific methods to test hypotheses.
• Collaborate with Data Scientists, Software Engineers and Product Managers to monitor impact.

Kenntnisse

Deep learning

Gradient boosted trees

PyTorch

TensorFlow

LightGBM

NLP

Forecasting

Python

MLflow

Weights & Biases

Databricks

Ausbildung

Master's degree or PhD

Quantitative field

Tools

Databricks

Jobbeschreibung

THE ROLE AND THE TEAM

As a Senior Applied Scientist in the Pricing Platform department, you will develop machine learning models and algorithms that build the backbone of our algorithmic pricing solution. Your contributions will be pivotal to our mission of building a cutting-edge algorithmic pricing solution, where you will leverage deep learning and gradient boosted trees to solve large-scale forecasting problems. While this solution is essential for optimizing profit and managing the stock risk across all articles on the Zalando platform, it presents significant challenges due to the scale and seasonality of our inventory. You will collaborate with fellow Data Scientists to tackle complex challenges at the intersection of machine learning, causal inference, and operations research. By applying innovative methods derived from cutting-edge research, you will elevate the team's capabilities and contribute to Zalando's vibrant Applied Science community, with extensive opportunities for professional growth through cross-functional collaboration.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know - we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

WHERE YOUR EXPERTISE IS NEEDED

• Apply your machine learning expertise to develop industry-leading, article-level (500k+) demand forecasting models that power Zalando's algorithmic pricing platform.

• Leverage your deep learning expertise (e.g., NLP, Sequence Modelling) to develop novel solutions for high-dimensional forecasting problems.

• Drive ML operations, comprehensive data analysis, and model deployment within production environments by utilizing Databricks as your primary platform.

• Apply your scientific expertise to create and test hypotheses

• Work closely with Data Scientists, Software Engineers and Product Managers to analyze and monitor the impact of our algorithmic pricing solution

WHAT WE'RE LOOKING FOR

• Master's Degree or PhD. in Computer Science, Mathematics, Physics, Statistics or other similar quantitative field

• Strong mathematical background and analytical skills

• Deep expertise in machine learning methods such as deep learning and gradient boosted trees, with extensive hands-on experience using frameworks such as PyTorch, TensorFlow or LightGBM to build production-grade models

• Strong foundational knowledge in machine learning

• Expertise in forecasting methodologies, ideally with a specialized focus on developing high-dimensional deep learning based forecasting models

• Exceptional Python coding skills and a track record of applying them to solve complex data science and engineering problems.

• Commitment to generating reproducible scientific results by leveraging state-of-the-art tools and methodologies like MLflow and Weights & Biases.

OUR OFFER

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)

• 2 paid volunteering days a year

• Hybrid working model with up to 40% remote per week, actual practice is up to each team to best support their collaboration

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Wellhub, formerly Gympass)

• Mental health support and coaching available

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