Senior Data Scientist
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Summary
Designs and deploys ML models and data pipelines using Spark/Hadoop, builds recommendation systems, and owns end-to-end ML lifecycle for a large-scale AI platform.
- Build and maintain data pipelines for HDFS Hadoop from Kafka logs and SQL systems
- Build evaluation harnesses automated testing frameworks benchmarks and guardrails
- Build recommendation and ranking algorithms
- Deploy trained models to production
- Design build and support distributed data transformation computation with Hadoop and Spark
- Design predictive customer behavior models
- Implement machine learning and statistical algorithms for prediction and optimization
- Own end to end machine learning system lifecycle
- Prototype and deliver complete projects using AI assisted coding
Perks/Benefits:
- 401k matching
- Dental insurance
- Flexible PTO
- Health insurance
- Hybrid work schedule
- Paid parental leave
- Parking
- Stocked kitchen
- Vision insurance