Job Details

Role Specific Information

Job Description

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

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the "What You'll Do" Section
• Ability to comply with dress code requirements
• Basic math and reading skills, legible handwriting, and basic computer operation
• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
• Ability to learn and comply with all company policies, procedures, standards and guidelines
• Ability to receive, understand and proactively respond to direction from leadership and other company personnel
• Ability to work as part of a team and interact effectively and appropriately with others
• Ability to maintain composure and work in a fast paced environment while
• accomplishing multiple tasks within established timeframes
• Ability to satisfactorily complete company training programs
• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
• Ability to plan, prioritize and monitor activities across business units
• Ability to complete or oversee the completion of assigned projects in a timely manner