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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

Big Data Developer

Job Number R0001716 Posted On 05/11/2021 Location Florida

Our Team

The mission of the Analytics Architecture team is to enable analytics at scale.  We do this by making sure the Analytics and Data Science teams have the necessary Cloud Infrastructure, Tools and Data to execute their research and development of machine learning/AI models.   We then work to implement these models into the larger technology infrastructure.  The team is the link between Analytics business mission, strategy, and processes of the organization to its IT strategy. The team is unique in its capability as a bridge between Analytics and technology, having good understanding of analytics’ unique needs and tech stack, tools, etc.


  • Design, Develop, Deploy and Maintain Analytical solutions in Big Data technologies (Hadoop, Azure Cloud, Hive, Databricks, Spark (Scala/Python), and other open source technologies) in 3 main areas including:

    • Data ingestion pipelines from diverse sources, large scale structured and unstructured data

    • Pipelines for machine learning model building, training and scoring

    • Data aggregation pipelines that feed Catalina Analytic and Reporting solutions

All of this work should be scalable code that follows company standards and be clearly documented

  • A developer will actively participate in agile SCRUM ceremonies including:

    • Refinement, Planning, Stand ups and Retros

    • Flushing out business requirements and adding acceptance criteria & tasks to User Stories

    • Participate in peer review code sessions to ensure quality of code.

    • Clearly communicate with management on proposed solutions/challenges.

    • Track and resolve data issues showing creative problem-solving skills.

  • Lastly, responsibilities also include:

    • Maintaining in-depth knowledge of data ecosystem and trends; be a subject matter expert

    • Recommends new tools to improve current stack and solve data needs efficiently.


  • Masters degree a computer science related field

  • 2 to 5 years of experience with some of the Big Data technologies (Spark (Scala/Python), Azure Cloud, Hadoop)

  • Experience in scaling spark applications, optimizations and performance tuning

  • Knowledge of distributed computing, RDD and optimization techniques

  • Knowledgeable in Warehouse solutions (ex. Yellowbrick, Snowflake)

  • Experience in work automation.

  • 2+ years of experience in ML/Datascience libraries like Scikit-learn, Pandas, Numpy, Tensorflow, Keras

  • Proven proficiency with data analysis and ability to troubleshoot data issues

  • 2+ years of experience with Linux/Unix Systems, scripting.

  • Experience of software engineering in Python and Scala

  • Experiences using dev ops tools (ex. Jenkins, Azure Dev Ops)

  • Working knowledge of Agile software engineering processes.

  • Able to develop/unit test and deploy complex data & analytic solutions

  • Community developer presence (github, apache, open source projects, etc)   

  • Positive attitude towards challenges.

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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