Data Scientist

📋 Description

• Solve real-world problems with data science and statistics.
• Build production-ready data and ML pipelines for internal/external use.
• Design, build, and maintain datasets.
• Data cleaning, modeling, feature engineering, and extraction.
• Apply software engineering practices to research code.
• Collaborate with Engineering, Operations, Product to deliver algorithms.

🎯 Requirements

• High proficiency in Python and Pandas + data science stack.
• 3+ years data/backend engineering in production environments.
• 2+ years implementing research and algorithms in Python (IR/NLP/ML).
• Experience developing AI solutions across domains.
• Strong written and verbal communication; collaboration.
• Bachelor’s degree or higher.
• Hands-on SQL experience.
• Strong data pipelines.

🎁 Benefits

• Stock grant opportunities dependent on your role, employment status and location.
• Additional perks and benefits based on your employment status and country.
• The flexibility of remote work, including optional WeWork access.