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Staff Data Scientist - Ads (AI Native)

🕒 3 days ago
Machine LearningOptimizationPythonMlops

📜 Description

  • Partner with Product, Data Science, Cloud Engineering, and Data Engineering to design, develop, and deploy machine learning and optimization solutions.
  • Train, deploy, and scale machine learning models as high-availability microservices or batch processing workflows.
  • Establish unified logging, alerting, and monitoring solutions to track model inference performance and system latency.
  • Implement robust lineage tracking for data, code, and algorithmic artifacts to ensure compliance and reproducibility.
  • Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and ML.
  • Mentor other Data Scientists and help define best practices for machine learning engineering.

🛠️ Requirements

  • Advanced degree in a quantitative field or equivalent industry experience.
  • 8+ years of experience analyzing, implementing, and operating machine learning and/or optimization systems.
  • Strong proficiency in Python with familiarity in software engineering best practices.
  • Familiarity with ML lifecycle and data processing tools such as MLflow, Kubeflow, and SQL.
  • Practical experience operating within a major cloud ecosystem like AWS or GCP.

Benefits

  • Paid parental leave
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
  • Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
  • Learning & Development programs
  • Equipment
  • Reimbursement support for a productive remote environment
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