Position Details

Salary $143K – $286K USD / year

Type Not Specified

Experience senior

Exp. Years 4+ years

Education Not specified

Category Data & Analytics

About this role

This role involves architecting and leading large-scale recommendation and personalization systems, focusing on feature strategy, platform design, and cross-team collaboration.

Key Responsibilities

Design feature architecture
Lead feature store evolution
Drive best practices in recsys
Mentor engineers
Ensure system reliability

Technical Overview

The technical environment includes distributed systems, data pipelines, real-time and batch data processing, feature stores, and recommendation algorithms.

Ideal Candidate

The ideal candidate is a senior data scientist or ML engineer with 4+ years of experience in recommendation systems, feature engineering, and large-scale data processing. They possess deep expertise in distributed systems, real-time data, and scalable data architectures, with strong leadership and cross-team collaboration skills.

Must-Have Skills

4+ years in data engineeringML engineeringor recsys platform rolesExperience architecting feature platforms for recommendation systemsDeep expertise in distributed systemsStrong understanding of ranking architecturesPartnering with product and ML leadership

Nice-to-Have Skills

Experience with feature storesExperience with real-time and batch featuresKnowledge of personalization patternsExperience in recommendation system development

Tools & Platforms

Distributed systemsData pipelinesReal-time data systems

Required Skills

Recommendation SystemsFeature EngineeringDistributed SystemsData PipelinesReal-time DataML EngineeringRanking ArchitecturesPersonalizationFeature StoresLarge-scale Data Processing

Hard Skills

Feature engineeringRecommendation systemsLarge-scale data processingDistributed systemsFeature storesReal-time data systemsData pipelinesML engineeringRanking architecturesCandidate generationPersonalizationScalable data systems

Soft Skills

Technical communicationLeadershipMentoringCross-team collaborationProblem-solving

Industry & Role

Industry Retail / E-commerce / Technology

Job Function Architecting and leading recommendation system features

Keywords for Your Resume

Data EngineerML EngineerRecommendation SystemsFeature EngineeringFeature StoresDistributed SystemsLarge-scale Data ProcessingReal-time Data SystemsData PipelinesRanking ArchitecturesPersonalizationScalable Data SystemsRecommendationRecommendation and Personalization SystemsRecommendation PipelinesReal-time DataML Engineering

Deal Breakers

Less than 4 years of relevant experience, Lack of experience with recommendation systems, No experience with distributed data systems, Inability to lead cross-team initiatives

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Staff Data Scientist- MLE - Recommendations & Personalization

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