Data Scientist III

Responsibilities

• Architect and own a modern Databricks lakehouse platform for forecasting, anomaly detection, and BI/analytics.
• Design, build, and optimize batch and event-driven ELT/ETL pipelines using Spark and Delta-style patterns.
• Implement scalable time-series forecasting and advanced anomaly detection algorithms (e.g., Z-scores, PELT, XGBoost).
• Develop automated data quality, schema validation, and model drift monitoring systems.
• Provide technical leadership through code reviews, mentoring engineers, and setting engineering standards.
• Collaborate with product and business stakeholders to refine requirements and plan technical roadmaps.

Requirements

• 7+ years of experience in data engineering or Machine Learning, specifically building production-grade pipelines in cloud environments.
• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Expert SQL skills including complex joins, window functions, and performance tuning.
• Strong Python proficiency for data processing, APIs, and analytics.
• Hands-on experience with PySpark for large-scale distributed processing.
• Proven experience with Databricks (notebooks, jobs, clusters, Delta tables) and lakehouse architectures.
• Practical experience with time-series forecasting and anomaly detection algorithms.

Preferred Qualifications

• Master's degree in a quantitative field.
• Relevant cloud certifications (e.g., Azure, AWS, or GCP data engineering).
• Databricks professional certifications.
• Experience with MLOps, CI/CD, and observability for data/ML systems.

Benefits

• Health & Wellness coverage designed for mind and body.
• Generous time off and flexible downtime.
• Continuous learning resources and career growth opportunities.
• Competitive pay, retirement planning, and student loan contribution programs.
• Family-friendly perks and financial wellness programs.

About the Company

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies, and expertise they need to move ahead in a changing economic landscape.