Senior Data Scientist - Supply Chain Optimization (M, F, D)

Wayfair; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

A leading company is seeking a Senior Data Scientist specializing in Supply Chain Optimization to leverage data mining and algorithm design to enhance their global operations. The ideal candidate will have extensive experience in optimization and programming, contributing to cross-departmental decision-making and scalable technical solutions. This role offers a competitive compensation package, ongoing training, and a strong emphasis on continuous learning within a collaborative team environment.

Leistungen

Highly competitive compensation packages

Contribution to private pension

Commuting schemes (car, bike, public transport)

Extensive internal training platform

Comprehensive financial support for continuous education

Health & Sport memberships

Global Wellbeing Program

Parental leave and adoption reimbursement

Employee discount for Wayfair purchases

Qualifikationen

• 6+ years of experience in forecasting and optimization.
• Strong knowledge of linear programming and mixed-integer programming.
• Hands-on experience in building scalable products in a supply chain environment.

Aufgaben

• Facilitate implementation of models into production.
• Work with partners in engineering to understand technical needs.
• Explore opportunities based on business and technical feasibility.

Kenntnisse

Data mining

Algorithm design

Machine learning

Mathematical modeling

Programming in Python/C/C++/Java

Ausbildung

BA/BS/MS/or PhD in Operations Research, Statistics, Mathematics, Computer Science, Physics, Economics

Jobbeschreibung

Senior Data Scientist - Supply Chain Optimization (M, F, D)

Wayfair’s Data Science team builds large scale, complex, high performant solutions leveraging state of the art mathematical modeling, out of the box innovative solutions enhancing the experience of our global customers.

The work we do encompasses:

• Data mining - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
• Algorithm design - develop quantitative models, leveraging machine learning and mathematical modeling techniques
• Algorithm platform engineering - design and build technical platforms for our algorithmic engines to run at scale
• Influencing business decisions - leverage our work and encourage adoption across our business partners to drive business value
• Designing and implementing algorithms for strategic and operational decision making

What You Will Do:

• Facilitate implementation of models into production by working with partners in engineering
• Serve as consultative partner to business and product leaders to understand their needs and how they translate into models
• Explore opportunities both in terms of business needs and in terms of what is technically feasible
• Plan projects and manage their execution, prioritizing between competing interests and providing technical guidance
• Connect and communicate data-science projects to stakeholders and teams company-wide

What you Will Need:

• BA/BS/MS/or PhD, with strong academic record, ideally in Operations Research, Statistics, Mathematics, Computer Science, Physics, Economics, or other quantitative field
• 6+ years of experience in forecasting and/or optimization with strong knowledge of linear programming and mixed-integer programming
• Proficiency in at least one programming language: Python/C/C++/Java
• Hands-on experience in building scalable products in a complex supply chain environment
• The ability to define and structure an approach to loosely-defined problems
• Desire to always be learning, and a collaborative team-player attitude!

What we will gladly offer:

• Highly competitive compensation packages (comprising of Base Salary and Equity),
• Contribution to private pension,
• Commuting schemes (car, bike, public transport),
• Extensive internal training platform,
• Comprehensive financial scheme for Learning & Development opportunities and continuous education outside the organisation
• Health & Sport memberships,
• Virtual child care,
• Global Wellbeing Program for our employees and their families
• Parental leave, surrogacy and adoption reimbursement program, extended bereavement leave
• Employee discount for Wayfair purchases,
• A vast community of ERGs supporting our employees and making Wayfair an inclusive space for us all,

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form .

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here .

About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [e-mail]. If you would rather not have us retain your data please contact us anytime at [e-mail].

About the company

Wayfair Inc. is an American e-commerce company that sells furniture and home-goods.

Notice

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