• Data Scientist

    Pos. Category
    Location : City
    Salt Lake City
    Location : State/Province
    Created Date
    Regular Full-Time
  • Overview

    The marketing team is looking for an outstanding data scientist to join its growing data science organization. This person will play a central role in one of our organization’s most highly visible departments, pulling insights from the data warehouse to guide strategic decisions of c-level executives and shape the way that we serve our customers.


    The incumbent will work closely with the director of marketing science and the digital marketing team to identify high value audiences for digital marketing campaigns, optimize the portfolio of current marketing campaigns, find novel audience attributes that predict positive future revenue, and refine our attribution methods.


    Key to their success will be the ability to first pull data using tools such as SQL, mySQL, Google Analytics, and Adobe Analytics then build models in R or Python. The ideal candidate will be comfortable with a range of analytical techniques, from machine learning (e.g., support vector machines, gradient boosted trees, random forest) to simple t-tests and power analyses.


    • Help design and deliver long term analytics projects: finding answers to business problems, implementing a solution, and tracking downstream effectiveness.
    • Communicate effectively with peers on the marketing science team, internal clients, and company leadership regarding ongoing projects and future possibilities.
    • Carry out ad-hoc data extracts and analyses as needed.


    • 3-5 years of experience in data science / data analysis or an advanced degree (MS, MBA, PhD) in a related field.
    • Fluent in English and at least one language related to statistical analysis (e.g., R, SAS, STATA), data management (e.g., Hadoop, SQL), or basic computing such as C++, Java, or Python.
    • Attention to detail and overarching curiosity are both essential.
    • Willingness to learn new quantitative techniques and programming languages.
    • Responsible and reliable; able to set and meet deadlines.



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