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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