Data Scientist
D
DemandTecRetail Analytics
Gdańsk, Pomeranian Voivodeship, PolandFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLPyTorchTableauTensorflowdbtDatabricksscikit-learnGenerative AILangChain
Requirements
- 3+ years of experience in data science or applied ML roles.
- Experience designing, building, and shipping models for price optimization, demand forecasting, promotion optimization, and similar retail/CPG use cases.
- Strong analytical and problem-solving skills; comfortable working with imperfect, real-world retail data.
- Proficiency in Python, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with GenAI frameworks (e.g., LLMs, Dify, LangChain, RAG pipelines).
- Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
- Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
- Hands-on experience with modern data tooling (e.g., dbt, Airflow, or similar orchestrators) and columnar/analytical engines.
Responsibilities
- Build and validate ML models supporting pricing, promotion, and markdown optimization.
- Contribute to GenAI initiatives — Build vertical-domain agents and agent clusters.
- Partner with Data Engineering to build robust, production-grade data pipelines.
- Perform exploratory data analysis and translate retail/CPG data into actionable insights.
- Build dashboards and visualizations to communicate findings to product and business stakeholders.
- Participate in code review, model validation, and documentation practices.
- Develop scalable feature engineering workflows over large retail datasets.
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