🛠 Tech Stack

💼 About This Role

You'll join GALE's data science team to solve challenging modeling problems using a data-driven approach. You'll work on projects for major brands like Delta and Uber, applying machine learning to large datasets. This role offers exposure to a hybrid, flexible workplace with global offices.

🎯 What You'll Do

• Build and deploy machine learning models on large datasets
• Develop data pipelines for preprocessing and modeling
• Analyze data to extract actionable insights
• Collaborate with cross-functional teams on data-driven solutions

📋 Requirements

• 1+ years experience in supervised machine learning on large datasets
• Proficiency in Python and SQL (Hive, PostgreSQL, etc.)
• Familiarity with Unix/Linux systems and command-line tools
• Experience with statistical programming (R, SAS, or Scipy/NumPy)

✨ Nice to Have

• Experience with Apache Spark or Scala
• Familiarity with AWS ecosystem
• Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch)

🎁 Benefits & Perks

• 🏖️ Hybrid Work Flexible in-office/remote arrangement
• 💡 Innovative Projects Work with top brands like Delta and Uber
• 🌍 Global Presence Eight offices worldwide
• 🏆 Award-Winning Agency Recognized by AdAge and Adweek