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Data Scientist

Inspire Open
Colombia Support Center Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Inspire. Colombia Support Center · full-time.

Pay not stated Data Scientist salary

RoleData Science
SeniorityMid-level
LocationColombia Support Center
EmploymentFull-time
PostedSep 1, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze customer, POS, loyalty, media and digital engagement data to uncover findings for multiple restaurant brands
  • Run statistical studies and create machine learning models for personalized marketing, promotion effectiveness and paid media
  • Build automated analytics and machine learning workflows that make work repeatable and scalable
  • Explain your findings and their business impact to stakeholders and marketing leaders

What you bring

  • A STEM bachelor’s degree plus two to three years of closely related experience, or a STEM master’s degree with relevant work experience
  • A solid grasp of statistics and machine learning concepts
  • Advanced English, with the ability to report entirely in English
  • Proficiency in at least three listed tools, including Spark, Python or another listed tool

Who this fits

This mid-level role suits a data scientist who can apply statistical and machine learning methods to marketing questions across multiple brands. You’ll report fully in English and need proficiency in at least three of the specified tools.

From the employer

OVERVIEW

As part of Inspire’s digital transformation and customer engagement strategy, we are expanding our data science capabilities. To achieve this, we require experienced data scientists who can help us deliver new AI and machine learning solutions.

KEY RESPONSIBILITIES FOR DATA SCIENTIST

  • Work with large, complex datasets that include data from several data domains including customer, POS, loyalty, media, and digital engagement.
  • Conduct deep analysis that drives insights and recommendations for multiple restaurant brands that generate over $1 billion in revenue annually.
  • Lead statistical analysis and build machine learning models supporting personalized marketing, promotional effectiveness, and paid media for multiple brands.
  • Build analytics and machine learning automation workflows so that work is scalable and repeatable.
  • Communicates results to stakeholders and marketing leadership, able to communicate business impact of work.

EDUCATION/ WORK EXPERIENCE

  • MINIMUM requirement options:
    • Bachelor’s degree in a STEM field with 2-3 years of highly relevant experience. Qualified candidates with only a bachelors are exceptional. Familiarity with statistics and machine learning concepts is essential​ OR
    • Master’s degree in a STEM field with 1-2 years of work experience OR

  • PREFERRED:
    • Master’s degree in a STEM field with 2 years+ of relevant experience​.

SKILL REQUIREMENTS

  • Advanced English is a must. The role will be reporting 100% in English
  • Must be proficient in at least 3 of the 6 tools:​ Spark, Python, R, SQL, Git Version Control, AWS/Azure/GCP


Inspire is a multi-brand restaurant company whose portfolio includes more than 33,300 Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and SONIC restaurants worldwide. We’re made up of some of the world’s most iconic restaurant brands, but we’re much more than just a restaurant company. We’re a team of hundreds of thousands who individually and collectively are changing the way people eat, drink, and gather around the table. We know that food is much more than a staple—it’s an experience. At Inspire, that’s our purpose: to ignite and nourish flavorful experiences.
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.