Role overview

Later is seeking a data science co-op student to join the product team for a four-month term starting January 2027, with potential for extension. Later is an AI-powered influencer marketing platform that helps brands execute data-driven campaigns, trusted by leading companies including Nike, Wayfair, Unilever, and Southwest Airlines. In this role, you will contribute to developing new product features and make a measurable impact on the company’s data initiatives.

Key responsibilities

Support the product team by working on the development and implementation of new product features.
Apply statistical modeling and machine learning techniques to solve real-world business problems.
Write and optimize code in R and/or Python to analyze large datasets and extract actionable insights.
Collaborate with non-technical stakeholders across the organization to communicate findings and recommendations.
Tackle technical challenges while learning new technologies and methodologies relevant to data science and influencer marketing.

Requirements

Currently in the third year of an undergraduate program in statistics, computer science, math, physics, economics, or a related technical field; graduate students may also be considered.
Strong coding ability in R and/or Python with a demonstrated passion for data science and the technology industry.
Technical understanding of statistical modeling and machine learning techniques with relevant coursework or project experience.
Experience with SQL is a plus; experience with big data technologies and model deployment (Spark, AWS, Docker, Flask, plumber) is also advantageous.
Excellent problem-solving skills with the ability to think creatively and ask critical questions when needed.
Strong communication skills and ability to work collaboratively in a fast-paced, agile environment.
Passion for social media platforms including Instagram, TikTok, and Pinterest is a significant asset.

What makes this role worth considering

This position offers a valuable opportunity to gain practical experience at a growing company working with real-world data at scale, including billions of social interactions and over $2.4 billion in verified purchase data. You will work alongside a collaborative team committed to building an inclusive and supportive environment, with exposure to how data science directly impacts meaningful business outcomes in the influencer marketing space.