Data Scientist

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
• 2
  Bring scientific rigor and statistical methods to the challenges of product creation, development, and improvement
• 3
  Build and prototype analysis pipelines iteratively to provide insights at scale
• 4
  Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers
• 5
  Typically: Stay up-to-date with industry trends and emerging technologies in data science and machine learning

RequirementsAI-extracted

• 4+ years of experience analyzing data in a fast-paced, data-driven environment
• Extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modeling
• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn
• A scientifically rigorous approach to analysis and data, with a well-tuned sense of skepticism, attention to detail, and commitment to high-quality output
• Typically: Strong understanding of data structures and metrics, with the ability to advocate for changes where needed

Perks & BenefitsAI-extracted