Senior Data Scientist

About the role

Senior Data Scientist at Ingersoll Rand. Design and implement BigQuery SQL procedures, views, and table functions for business insight generation (e.g., anomaly detection, usage trend evaluation.

What you'll do

• Design and implement BigQuery SQL procedures, views, and table functions for business insight generation (e.g., anomaly detection, usage trend evaluation
• Analyze and optimize BigQuery query for cost and performance — slot-seconds, bytes scanned/shuffled, join fan-out — and enforce shared architectural conventions
• Own the end-to-end MLOps lifecycle – model packaging, versioning, cloud deployment, monitoring, and automated retraining pipelines on GCP using Vertex AI, MLflow
• Design and maintain CI/CD pipelines for ML models, ensuring reliable, repeatable deployments with full model registry traceability from training data through to…
• Set up model monitoring to track prediction drift, data drift, and performance degradation in production

What you need

• 5–8 yrs of experience
• SQL
• Machine learning
• MLOps
• Python
• Scikit-learn
• Pandas
• B.Tech or B.E. or M.Tech

Good to have

• LLMs
• dbt
• Preventive maintenance
• BigQuery
• Data warehousing
• AWS