Data Scientist
Core
Design and develop functional analytic capabilities (ML engines) that integrate into Anaplan Applications to solve complex enterprise business problems and drive automated insights.
Role type
Senior IC Data Scientist (ML Engineering & Customer Customization)
Builds
Production ML models, pipelines, and analytic engines for enterprise scenario planning
Domain
Enterprise SaaS, AI/ML, Supply Chain & Retail Analytics
Deliverable
production ML models
Required skills
Machine Learning (LightGBM, XGBoost), Deep Learning (PyTorch), Time-series Forecasting, Python (Pandas), SQL, Data Pipeline Optimization (dbt, Snowflake, Databricks), MLOps (MLflow, Optuna, Prefect, Airflow), Cloud Infrastructure (AWS, GCP, Azure)
Preferred skills
Supply chain forecasting, Enterprise AI, Retail analytics
Technologies
LightGBM, XGBoost, PyTorch, Python, Pandas, dbt, Snowflake, Databricks, MLflow, Optuna, Prefect, Airflow, AWS, GCP, Azure, Parquet
Responsibilities
Lead technical deployment and customization of ML engines for new clients; Design and develop scalable functional analytic capabilities; Build and optimize data pipelines for high-volume transactional data; Design, train, and implement ML models for demand sensing and cold-start forecasting; Transition models from prototype to scalable production pipelines.
Seniority
Senior, hands-on IC