Remote opportunity at
LaterData Science Co-op
Later operates as an influencer marketing platform that utilizes an artificial intelligence system and proprietary analytics derived from social media interactions to help brands design campaigns.…
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About This Role
Later operates as an influencer marketing platform that utilizes an artificial intelligence system and proprietary analytics derived from social media interactions to help brands design campaigns. The company works with notable enterprises such as Nike, Unilever, Wayfair, and Southwest Airlines. Later is offering a full-time, remote Data Science Co-op position beginning in January 2027 to support the product group in developing new features. This co-op term lasts for four months,…
Job Description
Later operates as an influencer marketing platform that utilizes an artificial intelligence system and proprietary analytics derived from social media interactions to help brands design campaigns. The company works with notable enterprises such as Nike, Unilever, Wayfair, and Southwest Airlines. Later is offering a full-time, remote Data Science Co-op position beginning in January 2027 to support the product group in developing new features.
This co-op term lasts for four months, with the possibility of an extension. The position is designed for individuals who enjoy solving complex problems, exploring emerging technologies, and designing creative solutions. Candidates will collaborate closely with non-technical stakeholders in a fast-paced, agile environment, ensuring that analytical work remains practical, useful, and aligned with client needs.
Responsibilities
- Support the product team by working on new product features
- Collaborate across all functions with constant communication with non-technical stakeholders
- Perform unbiased and rigorous data science analyses
Requirements
- Currently enrolled in the third year of an undergraduate program in statistics, computer science, math, physics, economics, or another technical discipline, or alternatively as a graduate student
- Strong coding ability in R and/or Python
- Technical understanding and experience with statistical modeling and machine learning techniques
- Strong problem-solving skills with the ability to ask the right questions
- Strong customer service orientation focused on serving clients
- Solid business acumen to ensure work is practical and useful
- Strong communication skills for cross-functional collaboration
Qualifications
- Some experience with SQL
- Experience with big data and deploying models into production using tools such as Spark, AWS, Docker, Flask, or plumber
- Passion for social media platforms including Instagram, TikTok, and Pinterest
- Demonstrated good grades, fast learning ability, and creative thinking
Core Skills
Benefits
- Salary of $4,000 per month
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Later is open to hiring fully remote candidates for this position.
What is the employment type and duration of this role?
This is a full-time internship with a duration of four months, with the potential for an extension, starting in January 2027.
What are the educational requirements for applicants?
Applicants must be in their third year of a technical undergraduate program such as statistics, computer science, math, physics, or economics, though graduate students may also be considered.
What compensation is provided for this co-op?
The salary range listed for this role is $4,000 per month.
How do I apply for the Data Science Co-op role?
Candidates should submit a resume, a cover letter, an unofficial transcript highlighting relevant achievements or courses, and links to a personal portfolio or Git account if available.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
