Research Statistician

Syensqo • Stamford, CT

3d • Hybrid

About The Position

Syensqo is seeking a Research Statistician – Innovation & Data Science to apply statistics, experimental design, and data science to scientific, innovation, and customer challenges. The role serves as a statistical partner to scientists, chemists, engineers, technical sales teams, and customers, helping them design experiments, gain insights from data, and make informed decisions across growth, adjacent innovation, and incremental improvement projects.

The position builds statistical capability across the organization through training, coaching, and hands-on project support in Design of Experiments (DOE), statistical analysis, optimization, and customer trials. It also contributes to machine learning, artificial intelligence, predictive modeling, and advanced analytics initiatives, applying appropriate statistical rigor, validation, robustness, and interpretation.

This is a hands-on, collaborative, and influential technical role spanning statistical analysis, scientific problem-solving, teaching and coaching, and customer and commercial-team interactions. Travel may be required to support collaboration with technical teams and customers.

Requirements

• Advanced degree in Statistics, Applied Statistics, Data Science, or a related quantitative/scientific discipline, with deep formal training and demonstrated expertise in applied statistics.
• Demonstrated expertise in Design of Experiments (DOE), statistical modeling, optimization, and analysis of experimental data.
• Experience applying statistical methods to complex scientific, engineering, product development, manufacturing, or customer problems.
• Advanced proficiency with statistical and data-analysis software such as JMP, Minitab, R, Python, SAS, or comparable platforms.
• Strong knowledge of regression, analysis of variance, multivariate methods, model development and validation, uncertainty, and statistical visualization.
• Ability to understand the underlying scientific or business problem and select an appropriate statistical approach—not simply analyze a provided dataset.
• Excellent communication and presentation skills, including the ability to make complex statistical concepts practical and understandable for diverse audiences.
• Collaborative and consultative approach, with the ability to work effectively with and influence customers, scientists, technical sales professionals, and business leaders.
• Interest and demonstrated ability in teaching, coaching, and developing statistical capability in others.
• Curiosity about chemistry, materials, processes, applications, and the customer challenges behind the data.
• Strong interest in machine learning and artificial intelligence, with the ability and motivation to contribute to projects applying these technologies.

Nice To Haves

• A Ph.D. or equivalent level of advanced statistical expertise and relevant applied experience is strongly preferred.
• Expertise in JMP and/or Minitab is highly valued.
• Experience with Python or R and exposure to machine learning, predictive modeling, or advanced analytics is highly desirable.
• Experience in chemicals, specialty materials, formulations, materials science, industrial R&D, or a related technical environment is preferred.

Responsibilities

• Provide statistical leadership and consulting across innovation projects, from early exploration through optimization, validation, and customer implementation.
• Partner with scientists, chemists, and engineers to translate technical questions into effective experimental strategies.
• Design and analyze experiments using appropriate DOE methodologies, including screening, factorial, response surface, mixture, custom/optimal designs, and multi-response optimization.
• Apply statistical modeling and analysis to laboratory, application, pilot, manufacturing, and customer-generated data, translating results into clear insights and actionable recommendations.
• Partner with technical sales teams and customers to design and interpret statistically sound customer trials, product comparisons, and validation studies.
• Develop and deliver practical training in DOE, statistical analysis, data interpretation, and customer trial design for scientists, engineers, and technical sales professionals.
• Coach project teams in applying statistical methods independently and develop practical tools, templates, and best practices to strengthen organizational capability.
• Use statistical approaches to reduce experimental workload, accelerate learning, and improve the quality and speed of innovation decisions.
• Collaborate on machine learning, artificial intelligence, predictive modeling, and advanced analytics projects, ensuring appropriate statistical rigor, validation, robustness, and interpretation.

Benefits

• Competitive salary and benefits package.
• Bonus and/or other incentives.
• 16 or more weeks of maternity/paternity and co-parenting leave, according to local regulations.
• Training platform for all employees.
• Free physical and psychological well-being sessions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior