---
title: 'Junior Data Scientist - Commercial Excellence (m/f/d) at Buynomics'
canonical: 'https://feeny.ai/job/junior-data-scientist-commercial-excellence-m-f-d-buynomics-cologne-nn6xg2pckszt'
type: 'job'
last_seen: '2026-11-02'
---

# Junior Data Scientist - Commercial Excellence (m/f/d) at Buynomics

- **Company:** Buynomics
- **Location:** Cologne, Germany
- **Posted:** 2025-01-23
- **Last confirmed live:** 2026-11-02
- **Apply:** https://job-boards.eu.greenhouse.io/buynomics/jobs/4524398101

## Job description

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-DNI

Data Privacy Notice

By applying for a position at Buynomics, your personal data will be processed for recruitment purposes in accordance with applicable data protection laws. For applicants in the European Economic Area, processing is based on legitimate interests and pre-contractual necessity pursuant to GDPR Art. 6(1)(b) and (f). We may use AI-assisted tools to support application review; these tools do not make final hiring decisions and will not be used to train AI models without your explicit consent. We retain application data for six (6) months. You have the right to access, rectify, or request deletion of your data, and to lodge a complaint with your supervisory authority. To exercise these rights, contact careers@buynomics.com.

California residents may have additional rights under the CCPA; contact us at the same address to exercise them.

By applying, you confirm you have read our [Privacy Policy.](https://www.buynomics.com/privacy-policy)

## About Buynomics

## Company Overview
- **One-liner**: Buynomics provides an AI-powered Revenue Growth Management (RGM) platform that uses Virtual Shoppers simulations to help enterprises optimize pricing, promotions, product portfolio, and trade terms.
- **Entity Type**: Private (Series B)
- **Headquarters**: Cologne, Germany
- **Founded**: 2018
- **Founders**: Dr. Ingo Reinhardt, Anton von Lampe, Dr. Sebastian Baier

## Core Business
- **Primary industries**: Revenue Growth Management (RGM), AI simulation, commercial decision-making for CPG, Telecom, Retail, and Software.
- **Target customers**: Enterprise (B2B) – leaders in RGM and commercial strategy.
- **Mission**: “To put the shopper at the center of all commercial decisions” by replacing fragmented, backward-looking analyses with future-focused, shopper-centric decisions at scale.

## Products & Services
- **Virtual Shoppers AI Platform**: A SaaS platform that creates agent-based simulations trained on manufacturer data, grounded in behavioral economics and decision theory. It predicts shopper behavior with up to 95% accuracy and enables optimization of pricing, promotions, product & portfolio architecture (PPA), mix, and trade terms while accounting for cross-effects, cannibalization, and competition.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding – $46.03M across 4 rounds
- **Notable Investors/Partners**:
  - Forestay Capital (led Series B, $30M, April 2025)
  - Insight Partners (led Series A, $13.5M, Nov 2022)
  - La Famiglia (led Seed, $2.6M, Aug 2021)
  - Tomahawk.VC, Seedcamp, Dieter von Holtzbrinck Ventures, VI Partners, DvH Ventures
- **Growth Signals**:
  - Headcount of 121 employees (+49.5% YoY) – per LinkedIn
  - Operates in 17 countries (including US, Spain, UK, Poland, Switzerland)
  - Claims 80% faster decision-making and 2–4% profit impact for clients
  - Series B raised ~1 year ago, fueling rapid expansion

## Competitive Advantages
- **Virtual Shoppers AI**: Up to 95% predictive accuracy – notably higher than traditional methods.
- **Holistic optimization**: Single platform that optimizes all revenue levers simultaneously (price, promotion, mix, portfolio, trade terms) while modeling complex interactions.
- **Behavioral economics foundation**: Simulations grounded in academic decision theory, not just historical data.
- **Track record with enterprise clients**: Focus on CPG, Telco, and Retail with proven ROI.

## Strategic Focus
- **Scaling after Series B**: Growing the team and expanding global footprint (already in 17 countries).
- **Product innovation**: Continuing to enhance the Virtual Shoppers AI to cover more commercial levers and integrate additional data sources.
- **Go-to-market**: Hiring Enterprise Account Executives and Growth Marketing Managers to capture more enterprise logos.
- **Engineering investment**: Actively recruiting Lead Platform Engineers, indicating a push to strengthen the infrastructure.

## Why Work Here
- **Hybrid/Remote roles**: Flexibility to work from home, one of their offices, or a mix.
- **Bi-annual retreats**: In-person company retreats twice a year for strategy, connection, and fun.
- **Scaling with intention**: Rapid growth post-Series B without compromising company values.
- **Talent density**: Emphasis on hiring exceptional people and helping them grow; alumni include BCG, Simon-Kucher, Amazon, EA.
- **Engineering culture**: Head of Machine Learning and Innovations Director on staff; 17% of employees in technical roles, 12% in R&D.
- **Values-driven**: Mission to put the shopper at the center of decisions – data-driven, transparent, and customer-centric.

## Sources
1. [buynomics.com/about-us](https://www.buynomics.com/about-us)
2. [buynomics.com](https://www.buynomics.com/)
3. [buynomics.com/careers](https://www.buynomics.com/careers)
4. [cbinsights.com/company/buynomics](https://www.cbinsights.com/company/buynomics)
5. [linkedin.com/company/buynomics](https://de.linkedin.com/company/buynomics)

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