Data Scientist, eCommerce Search

Job overview

The Data Scientist, eCommerce Search role is onsite five days per week in Saint Louis, MI. Compensation is not specified. The role supports the Digital and eCommerce division’s search experiences for global eCommerce platforms. The position exists to improve product discovery and search performance through machine learning, information retrieval, and data analysis. The scientist develops and monitors ranking and personalization approaches, tuning search behavior to create more relevant experiences and support the business’s digital sales channels.

What you'll do

• Design, train, and evaluate ranking models
• analyze search query logs and user behavior
• engineer features from search, product, and user data
• implement semantic search for chemistry and life science product discovery
• tune Elasticsearch/Lucene configurations and lexical search algorithms
• build and maintain end-to-end ML pipelines
• develop personalized ranking strategies
• monitor production search and model metrics, identify drift, and iterate on models.

What we're looking for

Skills & competencies

data scientist

ecommerce search

saint louis mi

cardinal integrated technologies

onsite

machine learning

python

semantic search

search relevance

ranking models

elasticsearch

sql

mlops

Work arrangement

• Weekend coverage required

Why this role

The posting requires Python and machine-learning framework expertise, semantic search or dense retrieval experience, SQL proficiency, and three years of relevant hands-on experience. A bachelor’s degree in a related quantitative field is specified.

About the employer

Cardinal Integrated Technologies Inc is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.