Data Science Intern

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1 year ago

Greece, Attiki, Athens

Internship

Intern

Remote

Basic Information

At Output Sports, our mission is to make elite-level sports science simple & scalable. Our groundbreaking system condenses the power of a state-of-the-art sports science lab into a portable device, transforming the way athletes and coaches measure, track, and optimize performance. From iconic teams in the NFL, NBA, MLB, and Pro Football to innovative universities, clinics, and schools across the globe, we take pride in empowering athletes and organizations at every level to unlock their full potential.

We’re backed by world-class investors, including Apex, Atlantic Bridge, Elkstone, and Uni.Fund, and recently closed a $4.8 million investment round to turbocharge our growth.

Our vision is bold: to help people at every level of fitness achieve their training goals, whether that’s dominating the pros or just squatting more than your gym-buddy. At Output Sports, you’ll join a passionate, innovative team that’s driving this vision forward—and having fun while doing it. Together, we’re shaping the future of athletic performance and making it accessible to all.

We’re looking for a motivated and curious Intern Data Scientist to join our growing product team. This is an exciting opportunity to gain hands-on experience working with real-world data, developing analytical models, and contributing to product improvements that help athletes and coaches optimize their training.

Responsibilities

As an intern, you’ll work closely with our data science and engineering teams, supporting data-driven decision-making and contributing to innovative solutions. This role will give you exposure to data analysis, machine learning, and cloud-based data infrastructure, setting you up for a strong career in data science.

Your role will include:

Data Analysis & Insights: Explore and analyze datasets to uncover trends, patterns, and insights that drive product enhancements.
Collaboration: Work with engineering, product, and sport science teams to integrate data-driven solutions into our platform.
Visualization & Reporting: Create dashboards and reports to communicate key findings to stakeholders in a clear and actionable way.

Requirements

Amazon Web Services (AWS)

Cloud Infrastructure

Data Visualization

We value attitude and a strong willingness to learn above all else. If you don’t meet every requirement but believe you can make an impact, we’d love to hear from you!

What We’re Looking For:

Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Exposure to data visualization tools.
Interest in working with cloud platforms like Google Cloud Platform (GCP) or AWS.
Strong problem-solving skills and eagerness to learn new technologies.
Ability to communicate insights clearly to both technical and non-technical audiences.

Benefits

Continuous education

Flexi work schedule

Real-world experience working with large datasets in a fast-paced environment.
Mentorship and training from experienced engineers and data scientists.
Flexible working arrangements, including hybrid options at our NovaUCD office.
A paid position in line with local market rates.
Potential for a full-time role based on performance and company needs.

Recruitment process

We value transparency and want to ensure the interview process is as smooth and enjoyable as possible. Here’s what you can expect:

Apply: Send us your application, including your CV and anything else you’d like to share. We’ll take a close look to see how your experience matches up with the role.
Intro Call (~30 minutes: A quick call to get to know each other better. This is an opportunity for us to learn about your skills, interests, and career goals, and for you to ask any questions about the role, team, or company.
Take-Home Coding Assessment: A short, practical exercise designed to show off your skills. It shouldn’t take more than a couple of hours and is closely tied to the kind of work you’d be doing in the role.
Technical Interview (~90 minutes): A 90-minute session where we’ll dive into your coding assessment, explore your CV, and discuss your experience with the tools and technologies we use. This is a great chance to show us your problem-solving approach and technical know-how.
Final Interview: A conversation to wrap up any remaining questions and dig a little deeper into how your skills and goals align with what we’re building. It’s also your chance to make sure we’re the right fit for you.

Data Science Intern

Basic Information

Responsibilities

Requirements

Benefits

Recruitment process

About the company

About the company

Data Science Intern

Basic Information

Responsibilities

Requirements

Benefits

Recruitment process

About the company

About the company

No longer accepting applications