Stellendetails

Please note this is a hybrid role - available for candidates located in Cologne or surrounding areas

About Buynomics:

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchasing behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

We aim to enable companies to make data-driven, transparent, and customer-centric commercial decisions. For that, we build the operating system for commercial decisions that provides companies with a single source of truth to answer all their market-facing questions including pricing, product offers, and promotions.

You will play a key role in allowing us to create value from our client's data efficiently by working in the Solution Engineering team. You will be responsible for the end-to-end data processing and modelling during the onboarding of our clients. We offer the exciting opportunity to work in a young team with a modern tech stack with the chance to shape crucial processes early on.

What you'll do:

• • Create solutions that map clients into the Buynomics ML application using data science, building on a deep understanding of modern revenue management, our client's questions and the Buynomics framework and core algorithms
• • Participate in the R&D of processes and features that allow us to create value from data in a highly automatic fashion using statistics and machine learning (e.g., developing clustering and prediction algorithms, statistical model evaluation metrics, prototyping approaches to new industries, and more)
• • Assist with high-priority operational requests that may involve quick data analyses or scripting

What you'll need:

• • Completed master’s degree in the field of economics, data science, mathematics, or a related quantitative area from a leading university, with a sound knowledge of modern statistics and machine learning
• • Have background knowledge in leveraging data science to create value from data, either in a commercial or an academic setting
• • Intermediate knowledge of Python. Any deeper programming knowledge is a plus
• • Eagerness to drive value and have an impact from “day 1” including a hands-on mentality to help yourself and others actively
• • Ability to effectively manage the ambiguities of a young startup and strive for excellence without much supervision
• • Curiosity about commercial insights and modern pricing, and a willingness to become an expert in the field
• • Experience in a fast-paced environment like consulting or high-growth startups is a plus
• • Good verbal and written English communication skill

What we offer:

• • Dynamic Environment: Join a truly international and diverse team where your ideas matter
• • Flexible Work Model: Enjoy a hybrid setup with offices located in Cologne and Barcelona
• • Learning Budget: Take advantage of our employee development and education budget to enhance your skills
• • Local Language Classes: Participate in language lessons to support your integration and personal development
• • Urban Sports Club Membership
• • Pizza lunch, drinks and snacks
• • Personal and professional growth opportunities
• • Regular company events

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Hybrid

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