Data Scientist

About the Company

DemandTec is a retail analytics and demand science platform that helps grocery retailers and CPG suppliers make decisions on pricing, promotions, markdowns, and trade funds using connected AI-driven intelligence instead of disconnected tools. Supported by Longshore Capital, the company is transforming a market-leading core product into an AI/ML-native, composable platform. It also operates a live network of more than 7,800 connected CPG suppliers, which is a major differentiator in the category.

The team is developing the next generation of the platform for retail and analytics, including GenAI-based agents, real-time decisioning, and connected optimization across pricing, promotions, markdowns, and trade funds. This role is positioned at the center of that work.

Role Overview

DemandTec is looking for a Data Scientist in Poland to contribute to the machine learning and GenAI foundation of its next-generation retail analytics platform. You will collaborate with the Lead Data Scientist and a distributed team to develop models, deliver GenAI capabilities, and convert retail and CPG data into practical decisions for customers.

Key Responsibilities

• Design, build, and test machine learning models that support optimization of pricing, promotions, and markdowns.
• Support GenAI projects by creating vertical-specific agents and agent-based systems.
• Work with the Data Engineering team to create reliable, production-ready data pipelines.
• Analyze retail and CPG datasets to uncover insights that can be acted on by business and product teams.
• Create dashboards and visual reports to explain findings to stakeholders.
• Take part in code reviews, model checks, and documentation work.
• Develop scalable feature engineering processes for large retail datasets.

Required Qualifications

The ideal candidate should bring at least 3 years of experience in data science or applied machine learning roles. You should have experience creating and deploying models for use cases such as price optimization, demand forecasting, and promotion optimization within retail or CPG environments. Strong analytical thinking and problem-solving ability are essential, along with comfort handling messy, real-world retail data.

Technical Skills

You should be comfortable working with Python, SQL, and common machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with GenAI tooling such as LLMs, Dify, LangChain, and RAG workflows is also important. Exposure to cloud data platforms like AWS, GCP, or Azure, and big data systems such as Spark, Hadoop, or Databricks will be valuable. Experience with visualization tools like Power BI or Tableau, modern MLOps practices, orchestration tools such as dbt or Airflow, and columnar or analytical engines is also relevant.

Additional Information

This position is based in Gdańsk, Pomorskie, Poland and is a full-time onsite role.