Distinguished ML Data Scientist

Position

Distinguished ML Data Scientist

San Leandro, CA;
Boston, MA;
New York, NY

Full-time

$ - $

We are seeking an innovative Machine Learning (ML) data science 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 learning, advanced analytics, data science, and frontier AI applications.

• 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

• 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 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 federated 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

• Experience in industrial domains
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience mentoring junior team members and leading technical programs end‑to‑end

• Compelling storyteller who can use data to influence decisions
• Ability to meaningfully influence AI roadmaps and technology direction through data‑driven work
• Strong ability to translate emerging research into practical solutions
• Strong collaboration with cross‑functional technical and non‑technical teams

USA Benefits include:
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 401(k).

Hybrid working:
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office‑based. Roles supporting particular customers or markets are sometimes remote.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter.

Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis.

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria.