Uncountable
ML Solution Consultant
1y ago
110000 –130000 USD / yearWorldwidemachine learningstatistical modelingdata science
Bridge machine learning expertise with industrial R&D to deploy AI solutions for scientific discovery and experimentation optimization.
Responsibilities
- 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 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 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.
Requirements
- ML and data science depth: Strong foundation in machine learning, statistical modeling, or applied statistics — comfortable with experimental design, model evaluation, and working with messy, real-world scientific data
- Scientific domain fluency: Experience working with R&D data, physical experimentation workflows, or scientific datasets — enough to speak credibly with researchers about their work
- Communication: Exceptional ability to translate technical concepts into business and scientific value for a wide range of audiences, from bench scientists to R&D directors
- Software fluency: Comfort working with data science tools and environments (Python, statistical software, or similar); experience with scientific or R&D software a strong plus
- Autonomy: Ability to manage customer engagements independently, 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 — 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
Conditions
- 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
Other
- Thank you for your interest in Uncountable Implementations!
- 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.
- 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
- Help customers interpret model outputs, act on recommendations, and build confidence in AI-driven experimentation over time
- 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
- Collaborate closely with Uncountable's product and engineering teams, bringing structured customer feedback and real-world usage patterns to inform platform development
- Identify recurring challenges and opportunities across customer engagements that can be addressed through new features or improved workflows
- Contribute to internal knowledge-sharing on ML best practices, customer patterns, and domain-specific modeling approaches
- Applied ML that reaches the real world: Your work accelerates R&D at organizations developing next-generation products — from sustainable materials to life-saving medicines. The models you deploy aren't research artifacts; they're tools scientists use every day
- Rare scope: You'll operate across scientific domains — coatings, polymers, pharmaceuticals, food science, advanced materials — developing breadth of expertise that's nearly impossible to build elsewhere
- Scientific credibility meets technical depth: This role is built for people who can hold their own both in a conversation about experimental design with a PhD chemist and in a technical discussion with a product engineering team
- Direct product influence: At our scale, what you learn in the field shapes what we build next. You'll have a real voice in Uncountable's ML roadmap
- High autonomy, high impact: You'll own your customer relationships and drive outcomes — not execute a playbook