Distinguished ML Data Scientist
AVEVA•San Leandro, CA
•Hybrid
About The Position
AVEVA is creating software trusted by over 90% of leading industrial companies. We are seeking a n innovat ive Machine Learning ( ML ) d ata s cien ce leader . This is a hand-on lead role driving the investigation, incubation, and development of new AI and ML solutions to be incorporated into AVEVA’s industrial AI offerings. The ideal candidate will have a strong background in machine learnin g, advanced analytics, data science, and frontier AI applications.
Requirements
- 12 + years of experience in data science, advanced analytics, ML engineering, or equivalent industry experience with 4 + years in hands-on statistical modeling, machine learning, data pipelines and experimental design
- Master 's degree in Computer Science , Data Science, Statistics or a related technical field; Ph. D degree preferred
- Deep expertise in frontier and emerging AI, ML and data science techniques and best practices, including model evaluation, training/tuning, monitoring, and governance
- Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
- Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning , and AI governance best practices
- Proficiency in Python, SQL, R and machine learning libraries
- Exceptional communication and presentation skills and can articulate complex technical concepts to both technical and non-technical audiences
Nice To Haves
- Experience in industrial domains
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Experience mentoring junior team members and leading technical programs end-to-end
Responsibilities
- Investigate and recommend algorithmic/data science solutions to industrial problems
- Define and translate ambiguous concepts into well-defined questions, drive analysis of complex datasets for insights, and design data-driven experiments and incubations for emerging AI and ML technologies
- Drive the design and architecture of scalable data infrastructure and analytics platforms
- Collaborate with cross-functional teams to prototype, pilot and test ML -driven solutions
- Contribute to scientific and technical publications on AI/ML research
Benefits
- Flex work hours
- 20 days PTO rising to 25 with service
- three paid volunteering days
- primary and secondary parental leave
- well-being support
- medical, dental, vision, and 401K
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
