A R&D Statistician / Data Scientist Intern will be focused in one of two areas and will be expected to conduct the following activities as part of a team:

• Apply Data Visualization, Machine Learning, Text Mining, Statistics, Big Data Analytics, or Predictive Modeling as applied to clinical and/or biological systems or formula and material science
• Generate, compile and present analytics based on specific project assignment, including analysis and reporting
• Work with cross functional teams (i.e. formulation, clinical science, consumer science, bioscience) as project requires
• Maintain a safe working environment in laboratory and assigned work space.

• CANDIDATES MUST BE LEGALLY AUTHORIZED TO WORK IN THE U.S.
• Masters or PhD. Student with significant coursework or major in Statistics, Biostatistics, Bio-informatics, Data Science, Computer Science, Mathematics, or Industrial Engineering.
• Baseline level of statistical thinking required for all candidates
• Must have experience writing statistics-focused scripts using R, SAS, Python, or similar programs (e.g., JMP)

In addition, there are two types of candidates we are looking for to work specific projects in the Research & Development team:

• Consumer Insights – multivariate analysis, regression analysis, text mining, visualization of high dimensional data
• Clinical / Biosciences – at least 1 year of statistical theory / methods and fundamental understanding of simulation approaches
• Willing and able to work as part of a team and also to think and act independently with minimal guidance
• Willing and able to learn to explain technically-sophisticated methods to a non-technical audience

Unilever has a simple but clear purpose – to make sustainable living commonplace. They believe this is the best long-term way for the business to grow. On any given day, two billion people from around the world use Unilever products from iconic brands like Dove, Axe, Ben & Jerry’s, Lipton, Dollar Shave Club, and Knorr to look good, feel good, and get more out of life.