ML Solution Consultant
AI summary of the role
Uncountable is hiring an ML Solution Consultant to bridge data science and industrial R&D, deploying AI capabilities to enterprise customers in chemicals, pharma, and materials.
What you’ll do
- Partner directly with R&D teams at enterprise customers to understand their scientific challenges, data environments, and experimentation workflows
- Guide customers through onboarding onto Uncountable's ML tools, ensuring data is well-structured and models are configured to reflect their specific scientific context
- Act as a subject-matter expert in statistical modeling, machine learning, and experimental design — advising customers on strategies that maximize the value of their data
- Translate complex ML concepts into clear, actionable guidance for scientists and R&D leaders who may not have a data science background
What you’ll bring
- 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 for a wide range of audiences, from bench scientists to R&D directors
- Comfort working with data science tools and environments (Python, statistical software, or similar)
Technologies
Python · Bayesian optimization · design of experiments (DoE) · active learning · statistical modeling · machine learning · experimental design
About Uncountable
AI-native laboratory informatics platform unifying ELN, LIMS, PLM, QMS, and experimental data for enterprise R&D teams in chemicals, materials, food, and pharma.
Series A · 50–100 people
Source and classification
Customer adoption & accounts · Evidence for this classification:
ML Solution Consultant at Uncountable, you'll be the person who bridges deep technical expertise in data science and statistical modeling with a genuine understanding of how R&D scientists think, experiment, and make decisions. You'll work directly with leading R&D organizations to deploy Uncountable's AI capabilities, guiding customers through the full arc of adoption: from understanding their scientific challenges and data structures, to designing optimal experimentation strategies, to ensuring they're extracting real, measurable value from our platform's ML tools. This is not a back-office data science role. You'll be customer-facing, highly autonomous, and operating at the frontier of applied ML in science — advising PhD-level researchers and R&D directors on how to use AI to accelerate their most important work. You'll also have a direct line to product and engineering, shaping
More from the job description
Thank you for your interest in Uncountable Implementations! About Uncountable Science moves slowly — not because researchers aren't brilliant, but because their tools haven't kept up. Uncountable is changing that. We build a unified R&D platform used by the world's leading chemists, material scientists, and biologists to dramatically accelerate how new products are discovered, developed, and brought to market. Founded by engineers from MIT and Stanford, and trusted by enterprise R&D organizations across chemicals, pharmaceuticals, advanced materials, and food & beverage, Uncountable is on a mission to accelerate industrial R&D by an order of magnitude. We're a high-impact team that moves fast and gives people real ownership from day one. The Role Machine learning is only as powerful as the people who can apply it in context — and in industrial R&D, that context is everything. As an ML Solution Consultant at Uncountable, you'll be the person who bridges deep technical expertise in data science and statistical modeling with a genuine understanding of how R&D scientists think, experiment, and make decisions. You'll work directly with leading R&D organizations to deploy Uncountable's AI capabilities, guiding customers through the full arc of adoption: from understanding their scientific challenges and data structures, to designing optimal experimentation strategies, to ensuri [... source excerpt omitted ...] hly autonomous, and operating at the frontier of applied ML in science — advising PhD-level researchers and R&D directors on how to use AI to accelerate their most important work. You'll also have a direct line to product and engineering, shaping how our platform evolves based on what you see in the field. If you want to do meaningful applied ML work that reaches the real world — and have the communication skills to bring scientists along with you — this role is for you. What You'll Do Deploy AI Capabilities with Customers Partner directly with R&D teams at enterprise customers to understand their scientific challenges, data environments, and experimentation workflows Guid [... source excerpt omitted ...] experimentation over time Serve as a Technical and Scientific Expert Act as a subject-matter expert in statistical modeling, machine learning, and experimental design — advising customers on strategies that maximize the value of their data Translate complex ML concepts into clear, actionable guidance for scientists and R&D leaders who may not have a data science background Troubleshoot modeling challenges, identify data quality issues, and design solutions that make the science work Drive Cross-Functional Impact Collaborate closely with Uncountable's product and engineering teams, bringing structured customer feedback and real-world usage patterns to inform platform develop
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