Food Scientist II, Sensory & Consumer Insights

Short Intro and About the Job

Danone North America is seeking a motivated and analytically curious Food Scientist II, Consumer & Product Insights to join our Research & Innovation organization.

This role as an individual contributor
, is suited for emerging talent with foundational experience in data analysis, consumer research, or sensory science
. The role focuses on analyzing complex data sources to uncover patterns, trends, and early signals related to consumer and product experiences.

With close guidance from the hiring manager and senior team members, this role provides opportunities to build analytical depth, business understanding, and foresight capability over time
, while contributing meaningfully to ongoing insight and learning efforts.

Key Responsibilities

As a member of the Sensory Design & Future Capabilities team, you will support insight and foresight generation, with scope and complexity growing progressively through coaching and on‑the‑job development.

Consumer, Product & Trend Insights and Foresights

• Analyze data from multiple sources (e.g., online product ratings & reviews, consumer feedback, internal research datasets) to identify recurring patterns and themes
• Summarize consumer pain points, expectations, and experience‑related signals, and support identification of learning opportunities for further exploration
• Contribute to trend and foresight activities by monitoring data for early signals related to evolving consumer needs and product experiences

Data & Analytics Execution

• Apply basic quantitative, qualitative, and text‑analysis approaches to explore and organize datasets
• Support development of dashboards, summaries, and insight materials, to support insight communication, with guidance on framing and storytelling
• Support use and testing of new data sources, digital tools, and AI‑enabled analytics as part of continuous learning initiatives

Collaboration & Development

• Work collaboratively with internal partners under guidance from senior team members
• Develop analytical, project, and communication skills over time, with structured coaching and feedback from the hiring manager

What Success Looks Like

• Reliable, well‑organized data analysis and insight summaries
• Clear contribution to consumer and product understanding through data support
• Increasing confidence working with digital data sources and analytics tools
• Demonstrated learning progression, curiosity, and collaboration within R&I

Physical Demands & Work Environment

• This role is primarily performed in a standard office setting and requires the ability to remain in a stationary position (e.g., seated or standing) for extended periods.
• The employee may be exposed to moderate noise levels from office equipment and conversations.

The salary range for this position is $80, USD. The exact salary offered will depend on several factors, including the candidate’s relevant experience, geographic location, internal equity, and market conditions. Danone North America additionally offers a performance-based bonus and has a strong benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other benefit plan options.

To give our employees flexibility, Danone is a hybrid work environment. This role is considered a “hybrid” position that allows for flexible work, meaning it is a role where collaboration with key stakeholders in Danone Hubs occurs. While you may have the option to work from home on a schedule as agreed to with your supervisor, you are also expected to regularly report to your assigned office location at least 3 days per week.

Education & Experience

• Bachelor’s or Master’s degree in Food Science, Sensory Science, Consumer Science, Data Science, Market Research, or a related field
• 2–4+ years of relevant experience in consumer research, data analysis, market research, sensory science, or related analytical roles

• Substantial experience working directly with datasets such as surveys, consumer feedback, or digital data sources (e.g., online reviews or ratings), including data cleaning, exploration,…