Note: The job is a remote job and is open to candidates in USA. Good Culture is on a mission to zero defects, and they are seeking a curious, data-driven thinker to join their Quality team as a Data & AI Analyst. The role involves analyzing production data and using AI tools to enhance food safety and quality, while collaborating with various teams to drive continuous improvement.
Responsibilities
- Bridge quality and data: translate quality insights into a continuous, data-driven improvement process that the whole team can act on
- Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch issues early and strengthen our processes
- Monitor production data to ensure compliance with critical factors, specifications, and regulatory standards
- Own recurring reporting for leadership, operations, procurement, finance, and executive review
- Be the connective tissue for FSQA meetings — setting agendas, communicating progress, and keeping stakeholders aligned
- Track supplier performance and help build and maintain our supplier scorecard
- Support audits and quality documentation management
- Contribute to the development and implementation of food safety and quality programs
- Develop deep expertise in cottage cheese production and quality so you can anticipate problems before they happen
- Help protect and grow one of the most unique brands in food — because Good Makes Good
- Have fun and make a difference
Skills
- B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related field
- Sharp critical thinking skills — you can validate information, spot bad data, and apply sound judgment when working with AI-generated outputs
- Strong verbal and written communication skills; comfortable presenting to leadership and building relationships with co-manufacturing partners
- Ability to work independently and know when to loop others in
- Proficiency in Excel, Word, and PowerPoint
- Great attitude, desire to build something great, and love of cottage cheese
- 0–2 years of experience in tech services, food safety, or quality assurance
- Experience with Python, LLMs, command-line tools, or APIs
- Familiarity with AI workflows — Projects, Artifacts, agentic tools, and prompt engineering
- Food industry or co-manufacturing experience
- Certifications such as HACCP, PCQI, or SQF Practitioner
- Statistical knowledge and experience applying it to process improvement
Company Overview