Lead Data Scientist, AdTech

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

For our client, we are seeking a Lead Data Scientist, AdTech to join the team of a leader in the Media space.

This role will drive data science efforts that improve media performance and decision‑making across paid acquisition channels. You will build and optimize models that influence campaign efficiency, support business growth, and help translate complex data into clear, actionable guidance. Working closely with an ML engineer and other cross‑functional partners, you will own models from data sourcing through deployment and monitoring. The initial focus is on auto insurance, with the opportunity to expand into additional verticals.

Location: Remote

Compensation: $120,000 – $145,000 annually

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

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
• Familiarity with late labels, sparse features, and data drift
• End‑to‑end ownership of models from data sourcing to deployment and monitoring
• Proficient in Python and SQL

Benefits

• Remote‑first work environment
• Flexible hours aligned with East Coast time
• Performance‑driven compensation structure with profit‑sharing
• Opportunities for career advancement and skill development

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.