Data Scientist

📋 Description

• Explore large datasets to uncover patterns, biases, and causal relations.
• Form hypotheses on data quality and evaluation outcomes; design experiments.
• Build reproducible analysis pipelines using Python, Pandas, NumPy, Spark.
• Collaborate with ML researchers/engineers to design metrics across domains and tasks.
• Develop causal reasoning frameworks and statistical methods to explain model behavior.
• Communicate insights to technical and non-technical partners to guide research and infra.

🎯 Requirements

• 6+ years of experience in data science, ML analytics, or applied research
• Strong Python proficiency with Pandas, NumPy; Spark experience
• Expertise in statistical modeling, causal inference, and experimental design
• Experience reasoning about data distributions and distribution shifts
• Strong communication and collaboration with ML researchers and engineers
• Bonus: background in AI model evaluation

🎁 Benefits

• Competitive compensation and equity aligned to team location
• Comprehensive health and wellness benefits including medical, dental, vision
• Opportunity to work on cutting-edge AI with a mission-driven team
• Culture of transparency, trust, and community impact