AI/ML Data Scientist
Core
Develop advanced machine learning and deep learning solutions to support enterprise decision-making and customer-facing products using large-scale structured and unstructured datasets.
Role type
Senior IC machine learning engineer (predictive analytics & MLOps)
Builds
Production ML models, automated data pipelines, and predictive features for enterprise software
Domain
Enterprise technology, predictive analytics, and machine learning operations
Deliverable
production ML models
Required skills
Python, statistical modeling, feature engineering, MLOps, SQL, cloud data platforms, deep learning frameworks
Preferred skills
Time-series forecasting, model validation techniques, cross-functional collaboration
Technologies
PyTorch, TensorFlow, Pandas, NumPy, Scikit-Learn, Snowflake, BigQuery, AWS Redshift, Git
Responsibilities
Design, train, and optimize ML models for classification, regression, and forecasting; engineer predictive features from large datasets; build end-to-end data ingestion and training pipelines; conduct model validation and hyperparameter tuning; analyze complex datasets to identify strategic patterns; translate technical insights into dashboards and business recommendations; collaborate with engineering teams to integrate models into production software.
Seniority
Mid-senior level, hands-on IC