Remote Lead Data Scientist, AdTech — ROAS & Growth

Ladders; United States; Remote; USD 120,000 - 145,000; Full time

Benefits offered by this job

Remote‑first

Flexible hours

Profit‑sharing

Career advancement

Job summary

Ladders is seeking a Lead Data Scientist, AdTech to drive data science across paid channels and optimize media performance. You will own end-to-end models from data sourcing to deployment, starting with auto insurance and expanding to new verticals.

Work remotely with flexible hours and a profit-sharing compensation structure, collaborating with an ML engineer and cross-functional partners to translate data into actionable guidance that improves ROAS and campaign efficiency.

Qualifications

• 5+ years of hands-on applied data science experience with measurable business impact.
• Experience driving paid media decisions through model development.
• Ability to explain technical details of models, including loss functions and architecture.

Responsibilities

• Build models to optimize carrier visibility for auto insurance shoppers
• Use carrier conversion data to improve production models
• Manage media buying models with a focus on return on ad spend (ROAS)
• Frame business problems and independently source relevant data
• Collaborate with an ML engineer for production deployment and monitoring
• Initially focus on auto insurance, with potential to expand into other verticals

Skills

Data Science

Machine Learning

Python

SQL

Paid Media

Model Deployment

Job description

Ladders is seeking a Lead Data Scientist, AdTech to drive data science across paid channels and optimize media performance. You will own end-to-end models from data sourcing to deployment, starting with auto insurance and expanding to new verticals.

Work remotely with flexible hours and a profit-sharing compensation structure, collaborating with an ML engineer and cross-functional partners to translate data into actionable guidance that improves ROAS and campaign efficiency.