Data Scientist II, RufusX Science UK
Core
Developing conversation-based, multimodal shopping experiences and optimizing AI-driven search and shopping assistant systems using data analysis, statistical modeling, and machine learning.
Role type
Senior IC machine learning engineer (conversational AI & recommender systems)
Builds
Multimodal conversational systems, large language model applications, information retrieval, and recommender systems for shopping
Domain
E-commerce, AI, Natural Language Processing, Gen AI
Deliverable
production ML models | product features
Required skills
Machine learning, statistical modeling, data mining, A/B testing, causal inference, SQL, Python, R, large-scale data analysis, model evaluation, ETL pipelines
Preferred skills
AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), GenAI benchmarking, cross-disciplinary project leadership
Technologies
Python, R, SQL, AWS, Large Language Models, Knowledge Graphs
Responsibilities
Perform hands-on analysis and modeling of enormous multimodal datasets; Design and analyze A/B tests and experiments to evaluate new features; Develop metrics, dashboards, and reporting frameworks; Build predictive models to improve customer experience; Collaborate with engineers to translate insights into production systems; Establish automated processes for large-scale data analysis and experimentation
Seniority
Senior, hands-on IC