Senior Data Scientist

Tech Stack

Responsibilities

• Own and deliver high-impact data science initiatives from problem definition to productionization, driving measurable improvements.
• Partner closely with Product, Engineering, and Analytics to shape roadmaps, define success metrics, and translate business problems into analytical/modeling solutions.
• Deploy, operate, and scale ML workloads using cloud-native infrastructure and MLOps tooling (e.g., AWS SageMaker, Lambda, S3, ECR, Docker, Kubernetes).
• Design, build, and iterate on statistical models, machine learning systems, and decision frameworks (e.g., personalization, ranking, forecasting, experimentation analysis).
• Lead rigorous experimentation and measurement practices, including A/B test design, causal inference, and interpretation of results.

Benefits

• 401k
• Equity
• Gym Membership
• Health Insurance

Culture

Requirements