Aveva

Distinguished ML Data Scientist

Aveva$255K — $425K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of data science and ML experience, with 4+ in hands-on statistical modeling and data pipelines.
  • Master's degree in Computer Science, Data Science, Statistics or related; Ph.D. preferred.
  • Deep expertise in contemporary AI/ML techniques and best practices, including model evaluation.
  • Recent experience with AI paradigms like world models and context retrieval techniques.
  • Proficiency in Python, SQL, R, and ML libraries with strong communication skills.

Responsibilities

  • Investigate algorithmic solutions for industrial challenges.
  • Translate complex concepts into actionable analyses and design experimental frameworks.
  • Design scalable data infrastructure and analytics platforms.
  • Collaborate with teams to prototype and test ML solutions.
  • Contribute to AI/ML research publications.

Benefits

  • Flexible work hours and environment.
  • 20 days PTO, increasing to 25 with service.
  • Three paid volunteering days.
  • Comprehensive parental leave policies.
  • Well-being support, medical, dental, vision, and 401K options.
Full Job Description
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 members and leading technical programs end-to-end


What success looks like

  • 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 401K.

It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Find out more: aveva.com/en/about/careers/benefits/

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.

Hiring process

Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Find out more: aveva.com/en/about/careers/hiring-process

About Aveva

Aveva is a British multinational software company headquartered in Cambridge, England. It provides engineering and industrial software solutions to various industries, including oil and gas, chemical, power, marine, and mining. The company was founded in 1967 and has grown through a series of mergers and acquisitions over the years. As of 2021, it has over 5,500 employees and operates in more than 80 countries. Aveva is listed on the London Stock Exchange and is a constituent of the FTSE 100 Index.
Learn more about Aveva
Size
5,500 employees
Industry

Similar Jobs

More Jobs at Aveva

More Information Technology Jobs

Find similar Distinguished ML Data Scientist jobs: