Data Scientist

Summary

Join AlgaeCal as a Data Scientist Intern and contribute to a company driven by ending the fear of bone loss. You will decode data, predict future trends, and build machine learning models to shape strategy and optimize efficiency. This internship offers the opportunity to apply your skills in a real-world setting, translating data into actionable insights. The ideal candidate possesses experience in data science, strong coding skills (Python or R), expertise in SQL, and a deep understanding of machine learning algorithms. AlgaeCal offers above-market pay, team events, flexible stat holidays, weekly team lunches, a casual dress code, a dog-friendly office, remote work options, and a positive team culture.

Requirements

• Have experience as a Data Scientist (or a similar role) with demonstrable results
• Possess serious coding skills in Python or R
• Have expertise in SQL and relational databases
• Have a deep understanding of machine learning algorithms
• Have hands-on experience with data warehouses (BigQuery or similar)
• Have a knack for standardizing and improving data models
• Have familiarity with AI and deep learning principles
• Have a laser-sharp eye for detail
• Have an entrepreneurial approach to data

Responsibilities

• Build predictive models
• Optimize AI applications
• Refine data architectures that have had a measurable impact
• Translate data into actionable insights that drive business decisions
• Build and refine machine learning models
• Use statistical modeling and data science tools to solve complex problems and unlock growth opportunities
• Write efficient queries
• Optimize data structures
• Work with large datasets, ensuring data is organized, accessible, and primed for analysis
• Choose the right machine learning approach for the right challenge
• Understand how machine learning models work
• Design, maintain, and optimize scalable data storage solutions that support robust analytics
• Standardize and improve data models
• Refine schemas and improve architectures to ensure efficiency, accuracy, and usability across the organization
• Adapt artificial intelligence models (including RAG) to automate and optimize business tasks
• Spot trends, outliers, and opportunities
• Think strategically about how data can be leveraged to create business value
• Identify new ways AI and machine learning can drive efficiency, sales, and profitability

Preferred Qualifications

• Have industry know-how in consumer packaged goods, e-commerce, or the health/supplement industry
• Be humble
• Be hungry to learn more
• Be people smart (a great teammate)

Benefits

• Above-market pay
• Monthly team events and activities
• Flexible Stat Holidays with the option to bank days for later use
• Weekly team lunches
• Casual dress code
• Incredible dog friendly, Yaletown office one block from SkyTrain
• Remote working