Data Science /Feature Engineer - INTL India

2 DS/Feature Engineer Feature Development:

• Design, build, and maintain curated features for ML models and analytics products.

• Partner with data scientists, marketing team members, and advanced analytics to translate modeling needs into feature specifications and acceptance criteria. Feature Pipelines & Performance:

• Implement scalable feature pipelines (batch/stream) using Databricks, pyspark, and spark SQL.

• Optimize feature computation for cost and latency; ensure incremental processing and backfills are reliable. Data Quality, Lineage & Documentation:

• Build automated checks for schema changes, missingness, outliers, and drift.

• Maintain feature definitions, lineage, and usage documentation to enable reuse and governance. Operationalization:

• Work with ML Ops to publish features to a feature store and enable consistent training/serving.
• Support troubleshooting and root-cause analysis for feature-related incidents.

• 3-6+ years of experience in analytics engineering, data engineering, or ML feature engineering.
• Strong SQL and Python; experience with Spark/Databricks preferred.
• Experience designing data models (dimensional, lakehouse) and creating reusable transformations.
• Experience with data quality testing and documentation practices.
• Understanding of ML workflows (training vs. inference consistency, leakage risks).

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.