Our great team is expanding and looking for a data Scientist who
Own data projects end to end: research, POCs, deployment, monitoring, and maintenance
? Develop, TEST, and deploy ML models with a focus on time series forecasting and predictive analytics
? Research and build LLM-powered applications using text embeddings, RAG, and prompt engineering
? Build robust data pipelines for structured and unstructured data
? Establish and run A/B testing frameworks to support data -driven decisions
? Partner with product, engineering, and business teams to present findings clearly
Requirements: 2+ years of industry experience in data Science, Machine Learning, or a related field
B.Sc./M.Sc. in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
Strong proficiency in Python (essential)
Hands-on experience with ML frameworks: scikit-learn, Pandas, CatBoost, XGBoost
Basic knowledge of SQL for data extraction and manipulation
Proven experience with predictive modeling and A/B testing methodologies
Solid understanding of model training, validation, and statistical analysis
Demonstrated ownership, independent learning ability, and a proactive mindset
Hands-on experience with LLMs (fine-tuning, embedding pipelines, vector databases, RAG)
NLP experience
GCP/BigQuery, Docker, production deployment, dbt
Understanding of responsible AI principles
A stable
This position is open to all candidates.