ML Solution Consultant

The role

You will deploy AI capabilities by partnering with enterprise R&D teams to understand scientific challenges and data environments. You will act as a technical expert in statistical modeling and machine learning to guide customers through onboarding and model interpretation.

What you will do

• Partner with R&D teams to understand scientific challenges, data environments, and experimentation workflows
• Guide customers through onboarding onto ML tools
• Help customers interpret model outputs and act on recommendations
• Act as a subject-matter expert in statistical modeling, machine learning, and experimental design
• Translate complex ML concepts into actionable guidance for scientists and R&D leaders
• Troubleshoot modeling challenges and identify data quality issues
• Collaborate with product and engineering teams to inform platform development
• Identify recurring challenges to inform new features or improved workflows
• Contribute to internal knowledge-sharing on ML best practices

Required qualifications

• Strong foundation in machine learning, statistical modeling, or applied statistics
• Comfortable with experimental design, model evaluation, and working with messy, real-world scientific data
• Experience working with R&D data, physical experimentation workflows, or scientific datasets
• Exceptional ability to translate technical concepts into business and scientific value
• Comfort working with data science tools and environments such as Python or statistical software
• Ability to manage customer engagements independently
• Ability to navigate ambiguity and drive toward outcomes in a fast-paced environment

Nice to have

• M.S. or Ph.D. in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Physics, Data Science, or a closely related discipline
• Experience in a customer-facing technical role such as solutions engineering, technical consulting, or pre/post-sales data science
• Exposure to product development processes in materials, chemicals, pharmaceuticals, food science, or adjacent industries
• Familiarity with Bayesian optimization, design of experiments (DoE), or active learning methods in applied settings
• Experience with scientific or R&D software

Benefits

• Competitive base salary with performance bonus and meaningful equity
• Health and dental insurance
• 401(k) with employer contribution (US locations)
• Direct collaboration with a world-class engineering and data science team

About the company

Uncountable builds a unified R&D platform used by chemists, material scientists, and biologists to accelerate product discovery. The company was founded by engineers from MIT and Stanford.