Data Scientist Intern

Machine Learning Maestro: You don’t just work with data—you decode it, predict the future with it, and turn it into action. Your models don’t just sit on a shelf—they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you —read on. 

AlgaeCal is looking for a top-tier Data Scientist Intern who can turn raw information into strategies that drive measurable results.

This job will give you ALL the feels:

At AlgaeCal, we’re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. 

The good news? AlgaeCal has the world’s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you’ll find no better place to continue your career than at AlgaeCal. 

This job might be for you if you’ve got…

• Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You’ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don’t just analyze numbers—you translate data into actionable insights that drive business decisions.
• Serious coding skills in Python or R. You know how to build and refine machine learning models that actually work. You’ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities.
• Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that’ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis.
• A deep understanding of machine learning algorithms. Whether it’s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don’t just apply models—you understand how they work under the hood.
• Hands-on experience with data warehouses. BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics.
• A knack for standardizing and improving data models. You’ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization.
• A laser-sharp eye for detail. You’re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point.
• An entrepreneurial approach to data. You don’t just crunch numbers—you think strategically about how data can be leveraged to create business value. You’re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability.
• Industry know-how that adds value. If you’ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that’s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI.

Now, time to be honest: is this really you? If you’re nodding your head and feeling that flutter of excitement, then we can’t wait to meet you.

Other Qualities You’ll Need

At AlgaeCal we’re going to insist that you have these 3 qualities:

• You’re humble––you put the team and others’ needs ahead of your own
• You’re hungry to learn more
• You’re people smart––in the sense that you’re a great teammate

The truth is, if you don’t have these qualities you won’t last long at AlgaeCal. So if you’re missing one of them, be honest. Save yourself a lot of headaches and skip to a job posting that is a better fit for you.

What Will You Earn? 

We believe in rewarding top talent. Let’s talk about salary once we’ve had the chance to get to know you better. Rest assured, we’re generous and offer above-market pay for the right person. If you bring the skills and experience, we’ll make sure the compensation reflects that.

You’ll also enjoy the following benefits:

• Monthly team events and activities
• Weekly team lunches
• Casual dress code
• Incredible dog friendly, Yaletown office one block from SkyTrain
• Remote working is okay with us too.

And above all, you’ll join a team that you’ll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people’s lives as possible. But we know how to have fun and reward ourselves too.

How To Apply

So, do you have what it takes to become the next member of team AlgaeCal?

Job opportunities like this don’t come along often, and we’ve got a lot to offer our successful applicant. So, to make sure our future Data Scientist Intern is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application:

If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully:

1. Write a cover letter addressing:

1. Why are you the best Data Scientist Intern for this role? Give quantifiable examples of related achievements.
2. Describe why you fit perfectly with our values. Read them here:
3. What's the toughest challenge you’ve ever overcome in your life? How did you overcome it?
4. What are the last three books you’ve read?
5. What do you do for fun?

2. Explain what you’re doing now for a job:

1. If you don’t have one, explain why.
2. If you have one, explain why you’re looking elsewhere.

3. Upload your cover letter and resume

1. Ensure that your cover letter and resume are saved and sent as one file.

Yes, our hiring process is challenging, but it’s our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops.

Click the “Apply Now” button on this page and upload your cover letter and resume.

***Note: Please include your cover letter WITH your resume in one document. Applications without a cover letter will not be read!***

We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response.