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Your Analytic Talents Plus Our Data Playground Equals Relevant. Real Time. Results.


A rich digital and data playground where you can apply your analytics talents—that’s what you can expect to find on the Data Science and Analytics team at Catalina. Here, you will proactively generate impactful, sustainable technology solutions to gain deep insights into purchasing behavior. As part of a dynamic team, you will be challenged and supported as you drive insights that can’t be found anywhere else.

  • Full Time
  • Travel: Occasional

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Success Profile

What makes a successful Data Science and Analytics employee at Catalina?
Review the top traits we’re looking for and see if you’re the right fit.

  • Analytical 10
  • Results-driven 9
  • Digitally Savvy 9
  • Communicator 8
  • Critical Thinker 8
  • Strategic 7
Traits are on a scale of 0 to 10

Additional Traits

  • Insightful
  • Logical
  • Organized
  • Persuasive
  • Practical
  • Proactive
  • Problem-solver
  • Curious

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  • Health Insurance

  • Retirement Plan

  • Continuing Education

  • Family Support

  • Flexible Time Off

  • Healthy Work/ Life Balance

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Catalina is such a great place to leverage data science. Our shopper data is vast and granular, and our clients face an increasingly competitive landscape. The opportunities to help are endless.

Wes Chaar, PhD, Chief Data and Analytics Officer

Job Description

Data Scientist

Job Number R0001715 Posted On 05/11/2021 Location Chicago, Illinois

Our Team

The Data Strategy & Solutions team at Catalina develops scalable data products for external clients, industry partners and internal stakeholders. This involves conceiving and developing new data solutions from initial concept, design, proof-of-concept, build, testing through production handoff.  Our industry leading data assets span virtually all aspects of consumer intelligence from purchase history, media consumption, mobile location, demographics, product labels, etc.  We make that data even smarter and more actionable via advanced machine learning, data science, statistics, and related analytics methodologies that operate on big data and modern cloud computing platforms.  Our team is actively engaged in the strategy, evangelization and commercialization of these capabilities across our broad marketing solution suite.

This position will report directly to the SVP of the Data Strategy & Solutions team.


  • Work with Product, Technology, Operations, Sales and Analytics to identify, design, build and deploy compelling capabilities with technology and processes that meet agreed to requirements and service levels

  • Onboards, manages, integrates and transforms very large data sets to meet critical solution use cases

  • Formulates mathematical models in an appropriate programming language or application to support working prototypes and new commercial data products

  • Conducts analysis and evaluation of alternative datasets from internal systems and external vendors providing stakeholders with an informative assessments and recommendations on appropriate usage and business value

  • Participates in the agile development process, leading project planning sessions with users, business analysts, and team members to gather and analyze business requirements

  • Utilizes and stays current on applicable programming languages and software technologies

  • Knows what quality means, strives for quality, designs for quality, tests and refines until a very high quality is achieved, and continuously improves

  • Operates with minimal supervision and high personal accountability to the project and team (supervision by manager and product owner a couple of times per week)

  • Researches and learns from industry and competitive approaches to our existing and future solutions


  • Ph.D. or Masters degree in computer science, machine learning, engineering, mathematics, statistics, operations research, decision science, or related discipline and 1+ years experience after graduate school in computation, data science, machine learning or related; OR Bachelor degree and 4+ years experience

  • Excellent computing and software engineering skills with most of the following: python and R, cloud distributed computing (e.g., Azure, Databricks, Snowflake), machine learning frameworks (e.g., spark MLLib, tensorflow), UNIX, git, Agile development tools, concepts of data engineering

  • Strong data analysis and manipulation experience with extremely large data, ideally with experience with both structured and unstructured data using modern cloud computing and legacy tools (e.g. SQL, NoSQL)

  • Proven track record of being able to convince, design and build sophisticated data and analytic solutions to meet challenging business problems and opportunities

  • Good written and verbal communications with the ability to construct cogent design documents, emails and PowerPoints

  • Strong demonstrated customer focus, collaboration skills and proven ability to produce consistent results in a fast paced, highly collaborative and fluid business environment

  • Ability to travel up to 25%

About Catalina

Catalina is a recognized leader in highly targeted, personalized digital media that drives, tracks and measures sales lift for leading CPG retailers and brands. Powered by the most extensive shopper database in the world, Catalina's mobile, online and in-store networks personalize the consumer's path to purchase, delivering $7.9 billion in relevant consumer value each year. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to us and maintaining the consumer trust paramount to the continued success of our business partners and Catalina. Based in St. Petersburg, FL, Catalina has operations in the United States, Europe and Japan. To learn more, please visit or follow us on Twitter @Catalina.

Diversity, Inclusion + Belongingness

Catalina is committed to investing in, empowering, and retaining a more inclusive community within our company.   We are dedicated to hiring and cultivating diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard.  Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.

The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically included in this description.

All duties and responsibilities are essential job functions and requirements and are subjected to possible modification to reasonably accommodate individuals with disabilities.

We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.


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  • Facts:
  • end-to-end omni-channel solution
  • 650M shopper IDs Globally
  • 80,000 category specific brand insights
  • 35+ year high performing ROI

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