Data Science Co-op

Later is looking for a full-time co-op starting January 2027 to help support the product team; you will be working on new product features and having a meaningful impact on the company. If you enjoy tackling challenges, learning about new technologies, thinking of creative solutions, and sometimes blazing a new trail, we want to talk to you. This position is the perfect opportunity for you to learn and grow. This will be an 4-month term with a potential of extension.  

• In the 3rd year of statistics, computer science, math, physics, economics, or other technical undergraduate program; consideration may be given to graduate students as well. Creative thinker, fast learner, good grades. 
• Strong coding ability in R and/or Python, passionate about data science and the technology industry. Some experience with SQL is a plus.
• Experience with and technical understanding of statistical modeling & machine learning techniques.
• Experience with big data/deploying models into production is a plus (Spark, AWS, Docker, Flask, plumber).
• A passion for social media (Instagram, TikTok, Pinterest, etc.) is a big plus.

If you think you would be a fit, we’d love to hear from you. Please submit your resume, cover letter, and an unofficial transcript - please highlight relevant courses or other academic achievements, competitions etc.  And if you have a personal portfolio or Git account, send us the links so we can see how you shine. 

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. 

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.