Staff Data Scientist (Lead Generation)

Location: Remote within the United States, with listed locations in Los Angeles, Portland, San Diego, and Seattle. Most of the company works East Coast hours.

Base salary: $175,000–$200,000 per year, paid semi-monthly. Total compensation also includes a profit-sharing bonus and benefits.

Company

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

What you will do

• Build production models that select the insurance carrier most likely to convert each auto insurance shopper.
• Own buying models for media spend and optimize them against ROAS.
• Put carrier conversion data, including quotes, policies, and acquisition cost, into production models.
• Frame business problems, find and prepare data, build and validate models, and own deployment and monitoring with support from an ML engineer.
• Develop click-wall serving, automated marketplace bidding, and approaches for repeat users, sparse sessions, late outcomes, and changing market conditions.

Requirements

• 5+ years of hands-on applied data science experience with measurable business impact.
• Experience building models that drove paid media decisions, including spend, bidding, or ad serving; attribution and reporting alone do not qualify.
• Ability to explain personally built models down to the loss function and architecture choices, including neural network fundamentals.
• Experience handling feedback loops where current bids shape future training data, as well as late labels, sparse features, or drift.
• Experience owning models end to end, from finding data and building models through deployment and monitoring.
• Expert Python and SQL.

Nice to have

• Real ad budget experience in live auctions.
• Large-scale ranking or recommendation systems experience.
• 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 data science experience with ECS, S3, Athena, or SageMaker.
• CI/CD deployment experience.

Culture & Benefits

• Remote-first work environment with most employees working East Coast hours.
• Outcome-focused culture that measures impact rather than activity.
• Direct, respectful feedback and a diverse, inclusive workplace.
• Profit-sharing bonus and competitive benefits.
• Future compensation increases based on company and personal performance.