Sobre esta vaga de Data Science Co-op na Later
Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
About this position:
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.
Technical Qualifications:
- 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.
We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
- A passion for data science - you care about performing unbiased & rigorous analysis.
- Excellent problem-solving skills - you come with not only creative solutions but also understand the right questions that need to be asked when needed.
- Strong customer service orientation - everything we do is in service of our clients.
- Business acumen - making sure your work is practical and useful
- Strong communication skills - we are a team, we expect you to work collaboratively across all functions. You will have constant communication with non-technical stakeholders.
- Ability to excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are imperative.
Application Process:
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.
Our approach to compensation:
We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range: $4,000 per month
Where we work:
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.
Diversity, inclusion, and accessibility:
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.
