Dieses Stellenangebot ist nicht mehr verfügbar
Über
Full-time. Career Site Team: Product. Compensation: USD 132,000 - USD 165,000 yearly. Company Description
Remote role based in the US. Candidates must be physically located within the US. NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms NIQ helps clients unlock innovation and make smarter decisions. Job Description
As a Data Scientist – Sensory Modeling, you will play a critical role in advancing NIQ's sensory intelligence capabilities by developing cutting-edge statistical and machine learning models. This role focuses on translating complex sensory and consumer data into actionable insights that inform product innovation and development across FMCG categories and markets. What You'll Do Develop advanced statistical and machine learning models to analyze and predict consumer sensory preferences across products, markets, and demographics Design and implement models for latent harmonization of sensory and consumer datasets across studies, methodologies, and geographies Build and apply Bayesian and hierarchical/mixed-effects models to estimate liking and sensory attribute performance Develop frameworks for partial pooling and cross-product generalization Translate sensory panel data into probabilistic predictions aligned with reference populations Partner with research and client success teams to design effective consumer sensory studies and experimental frameworks Validate and calibrate models to ensure robustness, interpretability, and business relevance Prototype and productionize scalable analytics pipelines Automate data harmonization and reporting processes across sensory and consumer datasets Communicate insights clearly to stakeholders, translating analytical outputs into actionable R&D and product development recommendations Stay current with advancements in Bayesian modeling, machine learning, and sensory science Qualifications
What We're Looking For Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related field Strong foundation in probability theory and Bayesian inference Experience with hierarchical/mixed-effects models and latent variable modeling Hands-on experience with variational inference and/or MCMC methods Experience working with consumer or sensory data, ideally within FMCG or adjacent industries Understanding of sensory data structures and methodologies (e.g., hedonics, JAR, CATA, trained vs. untrained panels) Proficiency in Python and/or R Experience with machine learning techniques Strong data engineering and SQL capabilities Experience working in cloud environments (e.g., Azure) Excellent communication skills with the ability to translate complex findings into clear business insights Additional Information
Preferred / Differentiating Experience Experience in sensory and consumer science or consumer research analytics Experience designing experiments for sensory and consumer studies Experience integrating multi-study datasets (sensory, consumer, and product data) Familiarity with marketing science and innovation analytics Understanding of end-to-end product development and innovation processes Experience building reusable, scalable modeling frameworks Experience addressing panelist effects, scale-use bias, and cross-cultural differences Proven ability to integrate heterogeneous datasets into unified modeling frameworks Exposure to formulation or ingredient-level data and its relationship to sensory perception Impact of the Role Drive the development of next-generation sensory intelligence capabilities Enable scalable measurement of product performance across FMCG categories and markets Improve data-driven decision-making in product development and innovation Influence how sensory data is analyzed, interpreted, and applied within R&D and innovation contexts Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.