Lead Data Scientist (AdTech)

Location: Remote in the United States or Canada, including Mississauga, Montreal, Ottawa, Quebec, Toronto, Vancouver, and Victoria; most work follows East Coast hours.

Company

hirify.global is a discovery and conversion company connecting consumer brands in finance, travel, and entertainment with high-value customer acquisition outcomes.

What you will do

• Build models that match auto-insurance shoppers with the carrier most likely to convert.
• Own buying models for media spend and optimize them against ROAS.
• Bring carrier conversion data, including quotes, policies, and acquisition cost, into production models.
• Find data, frame problems with business partners, build and validate models, and manage deployment and monitoring with support from an ML engineer.
• Develop production approaches for late outcomes, sparse sessions, repeat users, market drift, and feedback loops created by bidding decisions.
• Expand the modeling scope from auto insurance to additional verticals over time.

Requirements

• 5+ years of hands-on applied data science experience with measurable business impact.
• Experience using models to drive paid media decisions, including spend, bidding, or ad serving; attribution and reporting alone are insufficient.
• Ability to explain personally built models in detail, including loss functions, architecture choices, and neural-network fundamentals.
• Experience handling the effect of current bids on future training data, including late labels, sparse features, or model drift.
• End-to-end ownership of models, from finding data and building models through deployment and monitoring.
• Expert Python and SQL skills.

Nice to have

• Experience spending real advertising budgets in live auctions.
• Experience with large-scale ranking or recommendation systems.
• Ability to explain technical tradeoffs to non-technical partners in plain language.
• Experience designing for auction feedback loops, selection bias, and exploration.
• Hands-on neural-network work involving text, creative, or user-behavior embeddings.
• AWS experience for data science, including ECS, S3, Athena, or SageMaker.
• CI/CD deployment experience.

Culture & Benefits

• Remote-first work across an international team spanning 18 countries.
• Most employees work East Coast hours.
• Outcome-focused environment with direct, respectful feedback and ownership of results.
• Inclusive culture committed to diversity, equity, inclusion, and equal employment opportunity.