Lead Data Scientist

📋 Description

• Design and implement scalable batch and real-time data processing systems across large datasets.
• Build ETL and streaming pipelines using modern GCP big data technologies.
• Lead decisions on data architecture, modeling, pipeline orchestration, and production systems.
• Develop statistical models and analytics capabilities for product intelligence.
• Design production-grade data workflows with Airflow, Dataflow, Pub/Sub, PySpark.
• Collaborate with Engineering and Product to deliver data-driven features and insights.

🎯 Requirements

• 7–10+ years as Data Scientist/ML Engineer with ownership of production systems.
• Strong experience building and operating large-scale data pipelines.
• GCP data services: Dataproc, Dataflow, Pub/Sub.
• Strong proficiency in Python and PySpark.
• Experience with real-time/streaming systems and orchestration (Airflow).
• Statistical modeling and applied data science techniques.
• Ability to collaborate across product, engineering, and analytics to deliver data-driven features.

🎁 Benefits

• Stock Options and equity participation.
• Generous paid time off, holidays, and parental leave; health insurance options.
• 401(k) and Roth retirement accounts; wellness program and other benefits.
• Employee assistance programs and life insurance options.
• Flexible work environment and supportive culture.
• Competitive compensation package and opportunities for growth.