Grainger is looking to solve the problem of turning data points into insights and actions by building and maintaining large-scale statistical models
Requirements
Proficiency in databases such as Teradata, Snowflake or Oracle and querying languages (e.g. SQL)
Experienced with at least one data science programming languages (e.g., Python, R, SPSS, or SAS) and working with structured and unstructured datasets
Experience with multi-variate linear regression, logistic regression, and time series modeling
Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
Experience with data visualization techniques and tools
Experience translating work into presentations (e.g. PowerPoint) suitable for non-technical audience
Responsibilities
Propose and evaluate innovative solutions for analyzing, clustering, associating, and classifying data
Develop and validates algorithms via analysis, computer simulation, and prototyping
Extend analytics platform for connected devices and sensors
Write and debugs production code that spans the vertical from database to computational layer to web service
Helps maintain large-scale analytics infrastructure, including distributed storage and computation clusters
Work collaboratively with QA team to assist in identifying and developing a wide-range view of individual case studies
Deliver insights derived from complex data analysis into simple conclusions that impact leadership to drive action
Other
Bachelor's degree in Statistics, Mathematics, Computer Science, or other quantitative field
2+ years experience in specialized research, such as informatics, data collection, scientific research and research equipment
Must be able to work collaboratively with cross-functional teams
Must be able to communicate results to internal and public forums
Must be committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law
