Hybrid (expected to be in the office three days a week)
12+ years data science experience
Master's degree in cs or data science
Expertise in frontier ai paradigms
AVEVA Solutions Ltd is seeking a Distinguished Machine Learning Data Scientist to lead the development of AI and ML solutions for industrial applications. The role requires significant experience in data science, machine learning, and advanced analytics, with a focus on innovative problem-solving and collaboration across teams
Job Summary
The role involves leading the investigation, incubation, and development of new AI and ML solutions for industrial applications.
Candidates must have deep expertise in emerging technologies such as foundation models, agent-based systems, and multi-modal language models.
The position offers a competitive salary range of $255,500 to $425,500 along with comprehensive benefits including flexible work hours and parental leave.
Matching Summary
Match Score: 85
AVEVA Solutions Ltd is seeking a Distinguished Machine Learning Data Scientist to lead the development of AI and ML solutions for industrial applications. The role requires significant experience in data science, machine learning, and advanced analytics, with a focus on innovative problem-solving and collaboration across teams.
Salary
Base: $255,500.00 - $425,500.00; Bonus/Equity: Not specified; Benefits: Flex work hours, 20-25 days PTO, parental leave, medical/dental/vision, 401K
Skills & Requirements
Must-have
12+ years data science experience
Master's degree in CS or Data Science
Expertise in frontier AI paradigms
Proficiency in Python, SQL, R
Experience with model governance
Nice-to-have
Industrial domain experience
Cloud platform familiarity
Mentoring junior team members
Strong storytelling abilities
Cross-functional collaboration skills
Key Requirements
12+ years in data science or ML engineering
4+ years hands-on statistical modeling
Master's degree required; PhD preferred
Deep knowledge of model evaluation and tuning
Exceptional communication skills for technical and non-technical audiences