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

Posted 7 Days Ago
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Barcelona, Cataluña, ESP
In-Office
Entry level
Software
The Role
Develop data science solutions for client onboarding, including data processing, modeling, clustering, prediction algorithms, and statistical evaluation. Support R&D of automated data-driven processes and features, perform rapid analyses and scripting, and translate commercial and pricing questions into machine learning solutions. The role requires Python, modern statistics and machine learning knowledge, strong English communication, and comfort working independently in a fast-paced startup environment.
Summary Generated by Built In

Please note this is a hybrid role - available for candidates located in Barcelona 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 skills

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 Barcelona and Cologne
  • 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
  • Health insurance package 
  • 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 [email protected].

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.

Skills Required

  • Completed master's degree in economics, data science, mathematics, or a related quantitative field
  • Sound knowledge of modern statistics and machine learning
  • Background using data science to create value from data in a commercial or academic setting
  • Intermediate knowledge of Python
  • Ability to manage ambiguity and work effectively with limited supervision
  • Good verbal and written English communication skills
  • Deeper programming knowledge
  • Experience in consulting or high-growth startups
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The Company
HQ: Cologne
83 Employees
Year Founded: 2018

What We Do

Imagine knowing your consumers’ preferences without tedious analyses, complex spreadsheets, or unreliable focus groups. Buynomics’ AI transforms all your readily available data into Virtual Shoppers that mimic the buying decisions of real consumers with unmatched precision. Use these instant and accurate consumer insights as the single source of truth to make decisions on prices, promotions, products, trade terms, channel & portfolio mix. Our holistic approach uncovers the links between critical revenue levers and provides fast and reliable recommendations for best results - your key to profitable and sustainable decisions

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