About the role
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 on the Data Science end of the Solution Engineering team. 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, mathematics, computer science, engineering, or a related quantitative area from a leading university, with a sound knowledge of modern statistics and at least basic knowledge of 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
About the company
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.