84.51° is seeking a Lead Data Scientist to support Kroger Manufacturing with generative AI and data science solutions, aiming to create, manage, and monitor agents, optimization, simulation, and machine learning for cost savings initiatives.
Requirements
- 4+ years of experience developing and implementing enterprise-scale generative AI solutions involving agentic workflows, NLP or embedding models
- Experience with graph databases and algorithms is a plus
- Proficiency in cleaning and querying data from relational databases and PySpark
- Experience using Python, or similar statistical software to develop analytical solutions.
- Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction.
- Familiarity with Big Data concepts, tools, and architecture.
- Experience developing and implementing on cloud solutions (Azure, Databricks, etc.)
Responsibilities
- Develop generative AI solutions to support manufacturing cost savings initiatives
- Integrate and deploy data science models to production grade front-end systems
- Apply MLOps best practices and patterns related to generative AI agentic workflows
- Develop and deliver analytical plans for client roadmaps, adopting best practices and innovative ideas.
- Transition projects from discovery to pre-production using the latest tech stack.
- Experiment with innovative machine learning methods and conduct analytic experiments; share findings with the team.
- Implement best practices for analysis, storage, and quality assurance with engineering, product, and labs teams.
Other
- 4+ years of experience in consulting or professional services, with at least 2 years focused on manufacturing.
- Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline.
- Strong analytical, creative problem-solving, and decision-making skills.
- Strong business acumen; manufacturing experience is a plus.
- Ability to work in a highly collaborative environment
