Junior Applied Data Scientist

Company: Jerry

Location: Toronto, ON (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-03-16

About this role

Why Jerry.ai

  • Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
  • Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain
  • Disrupt a massive market and take us to a $10B business in the next few years
  • Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article
  • Be immersed in a talent-dense environment and greatly accelerate your career growth
  • Impact millions of users experience with car maintenance and auto insurance

About the opportunity

We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.

This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.

How you will make an impact

  • **Model Ownership:** Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges
  • **Data Quality:** Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outl...

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