Senior Sensory Scientist

General Mills, Inc. Minneapolis , MN 55415

Posted 6 months ago

General Mills is reshaping the future of food. We believe food makes us better. It nourishes our bodies, brings us joy and connects us to each other. As one of the world's leading food companies, General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Betty Crocker, Yoplait, Annie's Homegrown, Old El Paso, Epic Provisions, Blue Buffalo and more. Are you passionate about the future of food? You've come to the right table. We want the very best talent to help lead something big.

As part of the Product Guidance and Insights (PGI) team, the Senior Sensory Scientist provides strong leadership and collaboration with cross-functional teams to recommend and execute appropriate product and packaging consumer and sensory learning plans from optimization to confirmatory testing, inclusive of building/leveraging foundational product knowledge, understanding consumer behavior and the competitive landscape and protecting product quality. The ideal candidate will have a passion for deeply understanding consumers and applying sensory design principles to deliver the best consumer experience possible. This role is in support of Cereal Partners Worldwide (CPW), a joint venture between General Mills and Nestle.

RESPONSIBILITIES

  • Influence and lead as the product design subject matter expert on the cross functional business team

  • Independently lead technically complex projects through appropriate product and packaging consumer and sensory learning plans from optimization to confirmatory testing, inclusive of building foundational product knowledge, protecting product quality, and enhancing consumer understanding

  • Facilitate consumer interactions to grow consumer empathy

  • Champion the consumer product voice on business teams

  • Collaborate with global team members on global initiatives for the platform

  • Translate data to insights through synthesis of qualitative consumer learning and interpretation of statistical analyses of quantitative testing

  • Synthesize and communicate key findings in a relevant and easy to understand manner and guide business teams to next steps in the product development process

  • Technical coach on sensory and consumer first principles and methods

  • Influence the business through strong business acumen and technical expertise

  • 10-20% Travel

  • M.S. or PhD degree in Sensory Science, Food Science, Psychology, Consumer Science or related field

  • 3 years of related experience

  • Strong sensory science technical skills, including a fundamental understanding of human perception and psychophysics

  • Competence in independently planning and executing sensory and/or consumer research

  • Exceptional interpersonal, collaboration, and influence skills

  • Experimentation mindset

  • Proven business partnering skills

  • Effective facilitation skills to lead competitive reviews, objective team tastings, etc.

  • Strong written and verbal communication skills

  • Consumer interviewing skills

  • Ability to independently manage resources and leverage existing data to effectively lead and influence multiple projects

  • Demonstrated understanding of applied statistical analysis, including design of experiments and multivariate analysis techniques.

  • Ability to apply knowledge quickly to solve a variety of technically complex questions

#cb


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Sr Data Scientist (Analytic Consultant 5)

Wells Fargo

Posted 2 days ago

VIEW JOBS 10/20/2019 12:00:00 AM 2020-01-18T00:00 Job Description Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume prior to submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as "Personal Cell" or "Cellular" in the contact information of your application. At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers' financial needs. This role is a part of DMI's Enterprise Analytics and Data Science Team – the central analytics group tasked with solving high-impact business challenges for the Enterprise and standing up cutting-edge analytical capabilities to be shared across Wells Fargo's analytic community. We are looking for a senior data scientist to join our team and help us solve challenging and interesting business problems through rigorous data analysis, predictive modeling, and design of complex analytic systems. In this highly technical role, you will support Enterprise Personalization Program. This initiative is focused on using ML/AI algorithms to develop personalized customer experience and marketing programs. As part of the core Personalization Data Science team, you will collaborate with other data scientists to generate innovative ideas, create hypotheses, design quantitative analyses and experiments, build predictive models using ML techniques, and generate business insight. KEY RESPONSIBILITIES INCLUDE: * Conduct exploratory data analysis, mine data (e.g., clustering), and prepare modeling datasets from multiple data sources. Build, validate, and implement predictive models using machine learning algorithms (e.g., Random Forests, GBM, neural networks, SVM, Na ve Bayes Classifier), as well as traditional statistical modeling techniques (e.g., time series forecasting, linear and logistic regression). * Conduct statistical analyses, design in-market experiments, respond to ad-hoc requests from business partners to identify/quantify opportunities or address specific questions. * Present model results and analytic findings, lead discussions, provide insight and actionable recommendations to business partners to support data driven and evidence based decision-making. * Work with complex databases, conduct research to identify data issues, propose solutions to improve data integrity; perform other database-related analyses and projects as requested; collaborate with data engineers to help optimize data retrieval processes to support ML algorithm automation. * Utilize emerging analytic and programming techniques to explore internal and external unstructured and semi-structured data; recommend how these additional data sources can be used to enhance existing models and provide additional insight. Required Qualifications * 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling * 4+ years of SQL experience * 4 + years of experience using quantitative machine learning techniques * 4+ years of Python experience Desired Qualifications * Extensive knowledge and understanding of research and analysis * Strong analytical skills with high attention to detail and accuracy * Excellent verbal, written, and interpersonal communication skills * 5+ years of statistical modeling experience * 1+ year of Big Data experience * Experience with Spark, Hive and Kafka Other Desired Qualifications * Advanced degree in quantitative discipline (e.g., Statistics, Economics, Computer Science, Applied Mathematics). * Strong programming skills using advanced tools like Python, SAS, PySpark, H2O, Hive, SQL with ability to write efficient code to manipulate data for analytical purposes, conduct statistical analysis, and develop predictive models. Ability to learn new technologies quickly. * Advanced knowledge of statistical methods (e.g., probability, multivariate data analysis, regression, PCA, time-series analysis) and substantial hands-on experience with machine learning techniques, such as neural networks, random forests, SVM, GBM, ensemble learning, etc. * Experience designing experiments and building predictive models to support marketing initiatives (e.g., propensity models, net lift models, customer lifetime value models); experience in Financial Services industry is a plus. * Strong acumen diagnosing and resolving data issues to ensure accuracy and completeness. * Exceptional analytical, critical thinking, quantitative reasoning, and problem-solving skills with high attention to details and accuracy. Ability to solve complex technical problems to support effective business strategy. * Prior experience in a role requiring collaboration across multiple functions within a large, complex organization, strong business acumen, ability to think strategically and build effective business partnerships. * Proven ability to drive each project to completion with minimal guidance while effectively managing multiple projects at a time. Street Address NC-Charlotte: 11625 N Community House Road - Charlotte, NC NC-Charlotte: 401 S Tryon St - Charlotte, NC MN-Minneapolis: 600 S 4th St - Minneapolis, MN TX-DAL-Downtown Dallas: 1445 Ross Ave - Dallas, TX AZ-Tempe: 1150 W Washington St - Tempe, AZ GA-Atlanta: 171 17th St Nw - Atlanta, GA CA-SF-Financial District: 333 Market St - San Francisco, CA Disclaimer All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act. Relevant military experience is considered for veterans and transitioning service men and women. Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation. Wells Fargo Minneapolis MN

Senior Sensory Scientist

General Mills, Inc.