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).
 

🏛️ Our Approach & Culture at ZentixSoft:

At ZentixSoft, we operate on trust and high autonomy. We have no micromanagement, no invasive time-trackers, and no minute-by-minute monitoring—we value a mature engineering mindset and freedom in decision-making.

However, freedom always equals personal responsibility. We measure work by concrete business outcomes, not logged hours. We expect you to take complete ownership of your domain, understand how your models impact commercial decisions, meet deadlines, and deliver production-grade results.

In this role, you will lead end-to-end data science for a SaaS platform in AgriTech / Supply Chain, working directly with the CTO, product team, and GCP engineers to build price, demand, and yield forecasting models.

🧩 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).