Data Scientist

Compunnel, Inc.; Grand Rapids (MI); On-site; USD 100,000 - 130,000; Full time

Job summary

Compunnel, Inc. is seeking an experienced Data Scientist to lead the optimization of AI-driven product content for owned brands. The role involves applying machine learning techniques to enhance product descriptions and recommendation systems and improve customer engagement.

Candidates should have over 10 years of experience in data science, particularly in the retail sector, with strong expertise in predictive modeling and A/B testing frameworks.

Qualifications

• 10+ years of experience as a Data Scientist or in a related machine learning role.
• Mandatory experience in the retail industry.
• Strong expertise in machine learning and predictive modeling.

Responsibilities

• Develop and optimize AI-generated product descriptions using LLMs.
• Improve product content quality and completeness across the product catalog.
• Collaborate with data teams to ensure reliable product data.

Skills

Machine learning

Artificial Intelligence

Predictive modeling

Recommendation systems

Product catalog management

Digital commerce

A/B testing

Data analysis

Job description

We are seeking an experienced Data Scientist to lead and optimize the AI-driven product content ecosystem for owned brands. This role combines machine learning, product catalog management, and digital commerce to improve product descriptions, product intelligence, and recommendation systems. The ideal candidate will develop AI-powered solutions that enhance product discovery, improve customer engagement, and drive Product Detail Page (PDP) conversion through data-driven experimentation and advanced analytics.

Key Responsibilities

• Develop and optimize AI-generated product descriptions using Large Language Models (LLMs), attribute extraction, and content enrichment techniques.
• Improve product content quality, consistency, and completeness across the product catalog.
• Build evaluation frameworks to measure the effectiveness of product descriptions based on conversion, customer engagement, and SEO performance.
• Develop machine learning models to improve product availability, status accuracy, and lifecycle intelligence.
• Build predictive models for in-stock and out-of-stock forecasting.
• Develop product readiness and completeness scoring models.
• Collaborate with upstream data teams to ensure reliable, accurate, and real-time product data.
• Design and implement recommendation systems for similar products, substitute items, and complementary product recommendations.
• Continuously optimize recommendation and ranking algorithms to improve customer relevance and conversion performance.
• Lead A/B testing initiatives for AI-generated product content and recommendation models.
• Measure the business impact of AI solutions on Product Detail Page (PDP) conversion and revenue.
• Develop dashboards, reports, and analytical models to measure performance and identify causal business impacts.
• Collaborate with cross-functional teams to implement scalable AI and machine learning solutions.
• Continuously evaluate and improve machine learning models using data-driven insights and experimentation.

Required Qualifications

• 10+ years of experience as a Data Scientist or in a related machine learning role.
• Mandatory experience in the retail industry.
• Strong expertise in machine learning, artificial intelligence, and predictive modeling.
• Experience building recommendation systems and ranking algorithms.
• Strong knowledge of product catalog management and digital commerce platforms.
• Experience designing and analyzing A/B tests and experimentation frameworks.
• Experience building predictive models for product intelligence and lifecycle management.
• Strong analytical, statistical, and problem-solving skills.
• Experience developing dashboards and performance measurement frameworks.
• Excellent communication and collaboration skills with cross-functional teams.

Preferred Qualifications

• Experience optimizing Product Detail Page (PDP) conversion through AI and machine learning solutions.
• Experience with search relevance, recommendation engines, and personalization strategies.
• Knowledge of SEO optimization techniques for AI-generated product content.
• Experience working with large-scale product catalogs and e-commerce platforms.
• Experience implementing production-grade AI and machine learning models in enterprise environments.