Senior Sensory Scientist - Beverages Data Insights

Symrise; Teterboro (NJ); On-site; USD 98,000 - 125,000; Full time

Benefits offered by this job

Discretionary annual bonus

Job summary

Symrise is seeking a Senior Sensory Scientist in New Jersey, USA, to lead sensory research for its Beverage BU and R&T teams. The role requires expert sensory science and advanced statistics to build predictive models and deliver actionable insights for product development.

You will design, execute, and analyze sensory studies, apply JMP/XLSTAT/SPSS, translate complex data into clear recommendations, and influence cross-functional teams with robust methodologies.

Qualifications

• Degree in Food Science, Sensory Science, or a related field.
• 5+ years of experience in sensory science in the food industry.
• Proven project management and cross-functional collaboration experience.
• Proficient in JMP, XLSTAT, SPSS.
• Excellent written and verbal communication skills.
• Willingness to learn and utilize BI and data visualization tools (Power BI, Tableau, MicroStrategy).

Responsibilities

• Design, execute, and analyze sensory studies.
• Apply statistical tools (JMP, XLSTAT, SPSS) to analyze data.
• Translate data into clear recommendations for stakeholders.
• Contribute to continuous improvement of sensory methodologies.
• Manage multiple projects and timelines in a fast-paced environment.

Skills

Sensory science

Statistical analysis

Data visualization

Communication skills

Cross-functional collaboration

Project management

Storytelling

Teamwork

Education

Degree in Food Science/Sensory Science

Tools

JMP

XLSTAT

SPSS

Power BI

Tableau

Excel

PowerPoint

Job description

Symrise is seeking a Senior Sensory Scientist in New Jersey, USA, to lead sensory research for its Beverage BU and R&T teams. The role requires expert sensory science and advanced statistics to build predictive models and deliver actionable insights for product development.

You will design, execute, and analyze sensory studies, apply JMP/XLSTAT/SPSS, translate complex data into clear recommendations, and influence cross-functional teams with robust methodologies.