Senior Applied Data Scientist
Core
Lead end-to-end machine learning lifecycle from discovery to production deployment, solving complex business problems for global clients in a consulting environment.
Role type
Senior Applied Data Scientist (Strategic IC)
Builds
Production-grade ML models, scalable analytical frameworks, and data pipelines for diverse client engagements.
Domain
Global Management Consulting / Applied Data Science
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, Scikit-Learn, XGBoost/LightGBM), Deep Learning (PyTorch, TensorFlow), Cloud AI/ML platforms (AWS SageMaker, Azure ML, Google Vertex AI), SQL, Big Data technologies (Spark, Databricks, Snowflake), MLOps (Docker, Kubernetes, CI/CD), Causal Inference, A/B Testing, Feature Engineering, Model Monitoring
Preferred skills
Reinforcement Learning, Optimization techniques, Cursor/GitHub Copilot/Claude Code usage, Architectural guidance
Technologies
Python, PyTorch, TensorFlow, AWS SageMaker, Azure ML, Google Vertex AI, Spark, Databricks, Snowflake, Docker, Kubernetes, Git
Responsibilities
Lead discovery, development, and deployment of ML models; Translate business requirements into technical roadmaps; Design and optimize data pipelines and feature stores; Validate business interventions via experimental design; Implement MLOps best practices; Design scalable analytical frameworks; Mentor junior data scientists; Evaluate and integrate emerging AI techniques.
Seniority
Senior, hands-on IC with strategic partnership duties