
Data Scientist
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Overview
Job Description
Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do?
Role: Data Scientist - Advanced Process Control (APC)
Role Summary
Data Scientist focused on developing and deploying APC use cases to optimize manufacturing processes, reduce variability, and generate measurable cost savings.
This role is hands-on and impact-driven, working closely with engineering and operations to move models into production.
Key Responsibilities
Translate process inefficiencies into data-driven control solutions
Develop models (e.g. predictive, time series, optimization) for process improvement
Support deployment into production systems (APC, MES, or similar)
Monitor model performance and ensure stability over time
Quantify and track business impact (e.g. savings, efficiency gains)
Collaborate with engineers and plant teams to ensure usability and adoption
Requirements
Experience with machine learning and statistical modeling
Strong Python and SQL skills
Experience working with real-world, noisy datasets
Ability to connect models to business/process outcomes
Nice to have:
Experience in manufacturing or industrial environments
Basic understanding of process control concepts
Success Metrics
APC use cases delivering validated savings
Adoption and sustained use in operations
Model performance and reliability
Profile
Practical and outcome-oriented
Comfortable working with ambiguity
Strong collaboration with technical and non-technical stakeholders
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
