JOB DESCRIPTION:
The Associate Data Scientist works with team to wrangle, model, interpret, and visualize large volumes of data. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. Performs data analysis through the use of various data-mining and statistical techniques in order to gain insights from data to support business priorities. Supports projects including forecasting, customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives.
ROLES AND RESPONSIBILITIES:
-Wrangles large amounts of data from multiple sources
-Cleanses and prepares data for modeling and analysis
-Uses the correct data mining approach to solve each business problem
-Appropriately evaluates model results and iterates as necessary
-Consults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality
-Efficiently and accurately produces insights, visualizations, and data reports to meet the needs of business partners
REQUIRED TECHNICAL SKILLS:
-Advanced technical degree or 2+ years' experience using data mining tools and advanced analytical methods in a business environment
-Proficiency with relational database systems
-Proficiency and proven experience with techniques in accurately joining large data sets from multiple sources and manipulating data to desired format
-Experience with data visualization
-Proficiency in a variety of statistical learning and machine learning techniques
-Strong analytical and problem solving skills with a solid understanding of business
-Experience in one or more statistical programming languages (R, Python)
REQUIRED EDUCATION:
-Bachelor's degree in Data Science, Statistics, Applied Mathematics, Business Analytics, Computer Science, Economics or a related field
OTHER KEY QUALIFICATIONS:
-Demonstrated ability and proven results exemplifying initiative, project management skills, and accuracy/detail-orientation
-Ability to work independently and with team
-Extremely curious about data
-Strong organizational and prioritization skills
-Strong written and verbal communication skills
-Desire to learn and improve data science skills
PREFERRED SKILLS AND EXPERIENCE:
-Knowledge and proficiency in R or Python
-Master's degree
-Demonstrated ability to summarize and present complex analytics to senior leadership