Analyze large-scale datasets to identify trends and insights for ads
Develop ML models and DS methods for anomaly detection and prediction
Communicate findings to stakeholders across the organization
Collaborate with product, engineering, sales, and marketing to translate needs into DS solutions
Stay up-to-date on advances in machine learning and data science

🎯 Requirements

Advanced degree (MS or PhD) in a quantitative field.
3+ years (MS) or 2+ years (PhD) in data science.
Strong statistics, ML, causal inference, and experimental design.
Experience with Spark, Hadoop, Hive; BigQuery a plus.
Python or R with scikit-learn, TensorFlow, or PyTorch.
SQL and relational databases.

🎁 Benefits

Global benefits that fit your lifestyle and development
Family Planning Support
Mental Health & Coaching Benefits
Medical Benefits & Health Care Spending Account
Generous Paid Parental Leave

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