Research Statistician

Syensqo SA; Stamford (CT); On-site; USD 98,000 - 140,000; Full time

Benefits offered by this job

16+ weeks maternity/paternity leave

Training platform for all employees

Free well-being sessions

Job summary

Syensqo seeks a Research Statistician – Innovation & Data Science to apply statistics, experimental design, and data science to scientific and customer challenges. You will partner with scientists, chemists, and engineers to design smarter experiments and translate results into actionable recommendations.

You will lead DOE training, coach teams in statistical methods, and contribute to ML/AI projects while advancing organizational capability in DOE and analytics.

Qualifications

• Advanced degree in Statistics, Applied Statistics, Data Science, or related discipline with formal training.
• Ph.D. or equivalent statistical expertise strongly preferred.
• Experience applying statistics to scientific/engineering problems.

Responsibilities

• Provide statistical leadership across innovation projects from exploration to optimization and customer implementation.
• Partner with scientists, chemists, and engineers to translate questions into experimental strategies.
• Design and analyze DOE experiments (screening, factorial, response surface, mixture, opt designs).
• Apply statistical modeling to laboratory, pilot, manufacturing, and customer data to derive actionable insights.
• Collaborate with technical sales and customers on trials, product comparisons, and validations.
• Develop and deliver training in DOE, statistics, data interpretation, and trial design.
• Coach teams in statistical methods and develop tools/templates to improve capability.
• Use statistics to reduce workload and accelerate learning in innovation decisions.
• Collaborate on ML/AI and advanced analytics projects with statistical rigor.

Skills

DOE expertise

Statistical modeling

Regression & ANOVA

Multivariate methods

Uncertainty quantification

R & Python

Data visualization

Communication skills

Teaching/coaching

Chemicals experience

Machine learning interest

Education

Advanced degree in statistics/data science

PhD preferred

Tools

JMP

Minitab

R

Python

SAS

Job description

Research Statistician

Job ID

35019

Important EEO information related to openings in the US

Syensqo is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics. Click here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) to access the Know Your Rights poster.

Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.

We are looking for:

We are looking for a Research Statistician – Innovation & Data Science who is passionate about applying statistics, experimental design, and data science to solve scientific, innovation, and customer challenges.

You will serve as a key statistical partner to scientists, chemists, engineers, technical sales teams, and customers—helping teams design smarter experiments, extract meaningful insights from data, and make faster, more confident decisions across growth, adjacent innovation, and incremental improvement projects.

A key part of your role will be building statistical capability across the organization through training, coaching, and hands-on project support in Design of Experiments (DOE), statistical analysis, optimization, and customer trials. You will also help advance the application of machine learning, artificial intelligence, and advanced analytics to innovation challenges.

We count on you for:

• 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.

You can count on us for:

• The opportunity to have a visible impact on innovation and growth by solving challenging scientific, engineering, and customer problems.

• A collaborative environment spanning scientific disciplines, technologies, applications, commercial teams, and customers.

• A diverse portfolio of projects, from exploratory research and product development through customer validation and commercialization.

• The opportunity to shape and strengthen statistical and DOE capabilities across the organization.

• Opportunities to expand your expertise at the intersection of statistics, experimental science, machine learning, and artificial intelligence.

• An environment that values curiosity, continuous learning, collaboration, and new ideas.

You will bring:

• An advanced degree in Statistics, Applied Statistics, Data Science, or a related quantitative/scientific discipline, with deep formal training and demonstrated expertise in applied statistics. A Ph.D. or equivalent level of advanced statistical expertise and relevant applied experience is strongly preferred.

• 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; expertise in JMP and/or Minitab is highly valued.

• Strong knowledge of regression, analysis of variance, multivariate methods, model development and validation, uncertainty, and statistical visualization.

• The 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, with the ability to make complex statistical concepts practical and understandable for diverse audiences.

• A collaborative and consultative approach, with the ability to work effectively with and influence customers, scientists, technical sales professionals, and business leaders.

• An 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.

• 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.

You will get:

• Competitive salary and benefits package. The U.S. base salary range reasonably expected to be paid for this position is $98,000 - 140,000.00 per year. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes 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 well-being sessions (physical and psychological).

Additional information:

This is a hands-on, collaborative, and influential technical role. You will move between statistical analysis, scientific problem-solving, teaching and coaching, and interactions with customers and commercial teams.

You should be comfortable asking challenging questions, influencing experimental approaches, and helping multidisciplinary teams understand what the data can—and cannot—support.

Travel may be required to support collaboration with technical teams and customers.

About us

• Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.

• At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.

• Syensqo is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics. #LI-RC1 #Hybrid