Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically backed natural bone-loss solution. Turning large datasets into strategies that improve efficiency, sales, and profitability.
Responsibilities
Decode data, identify hidden patterns, and validate hypotheses
Build predictive models and refine AI applications
Translate data into actionable insights that drive business decisions
Optimize data architectures, schemas, and relational database structures
Write efficient SQL queries and organize large datasets for analysis
Select and apply appropriate machine learning algorithms
Design, maintain, and optimize scalable data warehouse solutions
Standardize and improve data models for efficiency, accuracy, and usability
Identify trends, outliers, opportunities, and anomalies
Leverage AI and machine learning to improve efficiency, sales, and profitability
Collaborate as a humble, learning-oriented, people-smart teammate
Submit application materials according to the specified cover-letter and resume process
Requirements
Experience as a Data Scientist or in a similar role, with a resume demonstrating measurable results
Experience building predictive models, optimizing AI applications, and refining data architectures
Serious coding skills in Python or R
Experience with statistical modeling and data science tools
Expertise in SQL and relational databases
Experience working with large datasets
Deep understanding of machine learning algorithms, including regression, clustering, and neural networks
Hands-on experience with data warehouses such as BigQuery or similar
Experience designing, maintaining, and optimizing scalable data storage solutions
Experience standardizing and improving data models, schemas, and architectures
Strong attention to detail and ability to identify trends, outliers, opportunities, and anomalies
Strategic and entrepreneurial approach to using data, AI, and machine learning for business value
Humble, hungry to learn, and people smart; a great teammate
Experience in consumer packaged goods, e-commerce, or the health/supplement industry is a plus
Submit a resume and cover letter combined into one file
Cover letter must address relevant achievements, values fit, toughest challenge overcome, last three books read, and hobbies
Benefits
Monthly team events and activities
Weekly team lunches
Casual dress code
Dog-friendly Yaletown office one block from SkyTrain
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