Senior Recommender Systems Scientist - Personalization

Golden Technology; Cincinnati (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

Golden Technology is seeking a Senior Data Scientist to join their Relevancy Team. This role focuses on developing advanced recommender systems tailored for personalization in e-commerce. The ideal candidate will have experience in deep learning frameworks like TensorFlow and PyTorch, along with proficiency in SQL and Python.

Responsibilities include designing recommender systems, conducting A/B tests, and collaborating across teams to enhance personalization strategies. Located in Cincinnati, Ohio, this position offers a chance to impact millions of customer experiences.

Qualifications

• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python, and Spark for data analysis and manipulation.
• Experience working with cloud platforms like Azure or GCP.
• Prior experience in the retail or e-commerce industry is a plus.

Responsibilities

• Design, develop, and implement recommender systems tailored to grocery retail and e-commerce personalization needs.
• Build advanced machine learning and deep learning models to deliver personalized recommendations.
• Conduct A/B testing and offline model evaluations to improve model outcomes.
• Collaborate with data scientists and engineers to deliver data science solutions.

Skills

Deep learning models

TensorFlow

PyTorch

SQL

Python

Spark

Statistics

Cloud platforms (Azure, GCP)

MLOps

Data Engineering

Job description

Golden Technology is seeking a Senior Data Scientist to join their Relevancy Team. This role focuses on developing advanced recommender systems tailored for personalization in e-commerce. The ideal candidate will have experience in deep learning frameworks like TensorFlow and PyTorch, along with proficiency in SQL and Python.

Responsibilities include designing recommender systems, conducting A/B tests, and collaborating across teams to enhance personalization strategies. Located in Cincinnati, Ohio, this position offers a chance to impact millions of customer experiences.