Senior Data Scientist
Core
Design, develop, and deploy robust Machine Learning and GenAI/LLM solutions to transform client data into measurable business impact across scoring, segmentation, forecasting, and recommendation systems.
Role type
Senior IC Data Scientist (GenAI/LLM focus)
Builds
Production ML models, GenAI agents, RAG pipelines, and scalable data solutions for local and international clients.
Domain
Consulting, AI/ML, GenAI, LLMs
Deliverable
production ML models
Required skills
Python, scikit-learn, pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch, SQL, feature engineering, statistical testing, time series analysis, MLOps, Docker, Git, CI/CD pipelines, vector databases, prompt engineering, model evaluation
Preferred skills
Leadership in technical projects, mentoring junior data scientists, challenging methodological choices, presenting complex technical concepts to C-level stakeholders
Technologies
MLflow, Docker, Git, BigQuery, Snowflake, Databricks, AWS, GCP, Azure
Responsibilities
Design and develop ML models and AI solutions; conduct exploratory data analysis; perform feature engineering and variable selection; design GenAI/LLM solutions (RAG, agents, embeddings); contribute to model production and monitoring via MLOps pipelines; collaborate with Data and Software Engineers for industrialization; mentor junior team members; translate complex results into actionable recommendations; participate in pre-sales and project scoping; maintain active technical veille on ML and GenAI trends
Seniority
Senior, hands-on IC with potential for Lead responsibilities
