Distinguished ML Data Scientist

AVEVA is creating software trusted by over 90% of leading industrial companies.

Salary Range:

$255,500.00 - $425,500.00

This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. 

Position: Distinguished ML Data Scientist

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

Employment Type: Full-time

  

The job   

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.   

  

Key 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   ​

Essential 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   ​

Desired skills and competencies 

• Experience in industrial domains  

• Familiarity with cloud platforms (AWS, Azure, GCP)  

• Experience mentoring junior team membe