Join 84.51°: Elevate Your Career as a Director, Research Science (P1072)

84.51° is a leading retail data science, insights, and media company, dedicated to enhancing the customer journey for shoppers with personalized and valuable experiences. As a vital part of The Kroger Co., we empower consumer packaged goods companies, agencies, publishers, and affiliates through our cutting-edge solutions.

About 84.51°

At 84.51°, we harness first-party retail data from over 62 million U.S. households through the Kroger Plus loyalty card program. Utilizing advanced data science, we provide customer-centric insights, loyalty marketing, and our retail media advertising solution, Kroger Precision Marketing.

Role Overview: Director, Research Science (P1072)

The Director, AI/ML Researcher role offers a unique opportunity to utilize deep expertise in machine learning, optimization, AI, and forecasting to solve critical business challenges. This senior role involves creating, customizing, and applying leading-edge scientific methods to rich, diverse data, thereby shaping the future of our research and driving business value.

Key Responsibilities:

• Research and develop advanced technical solutions in AI/ML, statistical analyses, classification and clustering, and optimization.
• Adapt and apply new scientific methods and technologies to business problems.
• Collaborate with other scientists and thought leaders to shape research directions.
• Partner with development teams to enhance tools, processes, and model performance.
• Translate research into prototypes for testing and deployment.
• Lead, mentor, and develop a team of skilled professionals.

Qualifications:

• PhD or Masters in fields such as machine learning, AI, computer science, mathematics, statistics, or related areas. Exceptional contributions in the retail or customer domain may substitute for a PhD in some cases.
• Proven ability to self-direct research and set agendas for junior scientists and developers.
• Comfortable learning new sciences and technologies independently.
• Track record of high-quality, peer-reviewed scientific publications or technical contributions.
• Proficiency in Python, Spark, APIs, Cloud, and Distributed/Parallel Computing.

Preferred Skills:

• Expertise in creating computationally efficient solutions with profiling and benchmarking techniques.
• Experience in full end-to-end software development, CI/CD, and MLOps.
• Proficiency in building large-scale algorithmic solutions successfully delivered to stakeholders.
• Knowledge of the End-to-End Machine Learning pipeline and MLOps tools (e.g., Model registry, Experiment tracking, Feature Store, Model monitoring).
• Strong communication skills and the ability to visualize complex data sets.
• Independent decision-making and problem-solving skills.
• Exceptional time and project management abilities, with a proven record of leading technical teams and transforming ideas into business solutions.

Ready to make a significant impact with your expertise? Join 84.51° today!