Senior Data Scientist (Location Poland) (AgriTech / Supply Chain / GCP / Time-Series)

ZentixSoft is looking for a Senior Data Scientist! 🚀

Format: Full-Time Outstaffing, long-term engagement.

Location: Poland-based (Remote with readiness for occasional client meetings in Warsaw).
 

🧩 Responsibilities:

• End-to-End Ownership: Own modeling from problem definition to production deployment, analyzing multivariate time-dependent data for forecasting and classification.
• Feature Engineering: Build complex features around seasonality, lead-lag effects, weather impact, and regional supply chain dynamics.
• Model Benchmarking & Validation: Design and evaluate XGBoost, LightGBM, ARIMA, and deep learning sequence models using temporal cross-validation, uncertainty estimation, and explainability frameworks.
• Production Deployment: Productionize batch and API models on GCP alongside data engineers, implementing drift monitoring and retraining pipelines.
• Modern AI Integration: Prototype LLMs and AI agents where relevant for automated insights.
• Business Impact: Present quantitative findings, trade-offs, and metrics clearly to business stakeholders and non-technical decision-makers.
   

🎓 Our Perfect Match (Requirements):

• Commercial DS Experience: 5+ years in Data Science, applied ML, or quantitative analytics.
• Core ML & Data Stack: Advanced Python (Pandas, NumPy), ML frameworks (XGBoost / LightGBM / PyTorch / TensorFlow), and SQL.
• Cloud & Data Warehouse: Hands-on experience with Google Cloud Platform (GCP) and BigQuery is a MUST.
• Time-Series Expertise: Proven track record in time-series forecasting with concrete quality metrics (e.g., MAPE, RMSE, WAPE) in real-world environments.
• Location & Mobility: Candidate MUST be based in Poland and willing to visit Warsaw occasionally for client meetings.
• Communication: Fluency in English with the ability to explain complex quantitative models in business terms.
   

➕ Nice to Have:

• Experience with weather, geospatial, commodity, or supply-chain data.
• Bayesian methods, probabilistic forecasting, causal inference, or optimization.
• Production experience with LLMs or AI agents.
• GCP Data Scientist / ML Engineer certifications.
   

📍 Project Details:

⏳ Format: Full-Time, long-term outstaffing.

📍 Location: Remote in Poland (with occasional trips to Warsaw).