Senior Data Scientist
Core
Transform data into insights, models, and systems to shape the e-commerce grocery journey, powering search, recommenders, personalization, and lifecycle engagement for over 1.7M members.
Role type
Senior IC machine-learning engineer (e-commerce)
Builds
Production ML models, recommendation systems, and personalization engines for an online membership-based grocery market.
Domain
E-commerce / Grocery / Subscription services
Deliverable
production ML models
Required skills
End-to-end ML project ownership, statistical modeling, A/B test design, causal inference, SQL, Python, cloud-native ML infrastructure, containerized workflows, MLOps tooling
Preferred skills
Search/recommendation/ranking expertise, MLOps best practices, e-commerce marketplace experience, metric definition and monitoring
Technologies
AWS SageMaker, Lambda, S3, ECR, Docker, Kubernetes
Responsibilities
Own high-impact data science initiatives from problem definition to productionization; Partner with Product and Engineering to shape roadmaps and define success metrics; Deploy and scale ML workloads using cloud infrastructure; Design and iterate on statistical models and decision frameworks; Lead rigorous experimentation and measurement practices; Mentor other data scientists
Seniority
Senior, hands-on IC
