Data Scientist Level 2

Kforce has a client that is seeking a Data Scientist Level 2 in Cincinnati, OH.

Summary: We are seeking a talented and experienced Senior Data Scientist to join our data science team, specialized in building search and recommender systems. The ideal candidate will have proven track record of developing deep learning models, expertise in ML frameworks such as TensorFlow or PyTorch, and a strong understanding of various recommendation models and techniques.

Key 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 product, coupon, substitute, and recipe recommendations
• Define evaluation methods and key metrics to measure recommender system performance and identify areas for improvement
• Conduct A/B testing and offline model evaluations to compare recommendation strategies and improve model outcomes
• Perform root cause analysis and model interpretability reviews to understand recommendation results and improve accuracy
• Improve personalization by incorporating customer preferences, dietary needs, shopping behaviors, and engagement patterns
• Explore recommendation diversity strategies that expose customers to a broader range of relevant products while maintaining accuracy
• Partner with ML engineers to support model deployment, serving, versioning, and production pipeline best practices
• Collaborate with data scientists, data engineers, full stack engineers, product teams, and business stakeholders to deliver data science solutions
• Integrate transactional, customer, product, demographic, and user feedback data to support model development and analytics
• Build customer analytics pipelines, reporting dashboards, and performance tracking to monitor recommendation effectiveness over time