Description
ABOUT US
At buynomics, we are building the next-generation consumer product and portfolio management software. Our goal is to help our customers optimize their product portfolios to maximize profitability and other relevant KPIs.
We achieve this by predicting future consumer behavior based on historical sales data, behavioral economics, and advanced data science.
We have successfully deployed our platform across 5 continents and in a multitude of ongoing client relationships ranging from telecommunications, consumer goods, and insurance all the way to the software industry.
With our fast-growing business, we have recently received seed funding from prestigious VCs (La Famiglia & Seedcamp) and are now eager to scale buynomics to the next level.
We are data-driven and results-oriented. We encourage transparent communication and personal growth. We create a modern, dynamic, and flat hierarchical working environment and give you a lot of autonomy and responsibility straight from the start.
If you are interested in advanced data science and data-driven SaaS solutions, can identify yourself with these values, and thrive working in a fast-paced and intellectually intense environment, then join the buynomics team and become part of our success story!
We are the commercial insights solution of tomorrow. We are buynomics.
RESPONSIBILITIES
You will play a key role in allowing us to create value from our clients' data efficiently by working on the Data Science end of the Solution Engineering team.
Specifically, you will :
- Facilitate the onboarding of new clients from a data science point of view, building on a deep understanding of our clients' problems and our core algorithms
- Participate in the development of processes and features that allows us to create value from data and / or automate processes using modern statistics and machine learning (e.g., developing clustering and prediction algorithms, statistical model evaluation metrics, and more)
- Develop deep domain expertise in modern revenue management
- Assist with high-priority operational requests that may involve quick data analyses or scripting
- Potentially supervise junior team members
REQUIREMENTS
You are a curious and interested mind seeking with an interest in commercial insights and a strong background in (social) data science.
- Eagerness to learn and have an impact from Day 1
- Completed master’s degree in the field of economics, mathematics, computer science, engineering, or a related area from a leading university
- At least basic experience in leveraging modern statistics or machine learning to create value from data (or a willingness to grow fast)
- Experience in a fast-paced environment like consulting or high-growth startups is a plus
- Intermediate experience with Python, MATLAB, R, or a similar modern programming language. Any deeper programming knowledge is a plus
- Passion and persistence for complex problem solving
- A strategic foresight and well-founded insights into prevailing market conditions
- High level of personal initiative and very good strategic and analytical skills
- Good verbal and written English (German is a plus)
BENEFITS
- Responsibility right from the start and enormous growth potential within the company and beyond the initial role
- Being part of a fast-growing and highly innovative tech company with direct impact
- Deep insights into different industries and strategies of client groups
- International, young, and dynamic team with flat hierarchies and short decision processes
- Office options in Cologne and Barcelona with flexible remote working possibilities