About the Role

As Senior Personalization Analytics Analyst, you will lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization, ranging from the executive level to our strategy teams. In addition, this person may lead the co-development of marketing technologies with our IT teams.

What You’ll Do

Construct and curate datasets for model features

Develop the methodology for model creation, testing, execution, and maintenance

Manage each project and code base in Github

Lead working groups and participate in steering committees with our IT partners

May lead UAT testing

Provide project communications to Marketing leaders

Cultivate meaningful relationships with our business partners

Define analytical and reporting requirements with partners

Respond to most complex inquiries with actionable insights and advice

Deliver technical capabilities to partners

Create dashboards or decks to provide recommendations

Provide high level data driven insights that confirm or refute our partner’s hypothesis

Provide guidance to Marketing leaders on investments in technology

Demonstrate the ROI of technological advancements via proof on concept projects

Additional tasks may be assigned as necessary

What Skills You Have

Required

Bachelor’s Degree in relevant field

Experience coding in general purpose languages, e.g. Java, Python, C++

Experience developing, testing, and curating statistical and machine learning models

Experience using traditional RDBMS, e.g. Teradata, MSSQL Server

Experience using cloud offerings, e.g. Azure, AWS, GCP

Experience using software version control, e.g. Github

Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR

A demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others

Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks

Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau

Preferred

Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field

4+ years of relevant Data Science, Applied Mathematics, and/or IT experience