Staff Data Scientist: Marketplace Ranking & Bid Optimization - Remote

launchpotato; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-friendly with East Coast hours

Profit-sharing bonus

Competitive benefits

Job summary

launchpotato is seeking an experienced data scientist to own applied data science for an insurance marketplace ranking and paid media buying. You will build models that match shoppers to carriers and optimize media spend toward ROAS goals.

This hands-on role covers problem framing through deployment and monitoring, with an ML engineer supporting production. You will work with business partners to explain model decisions and adapt to delayed outcomes and evolving market conditions.

Qualifications

• Five or more years of applied data science with measurable business results.
• Experience building models that influence paid media spend or ad bidding.
• Ability to explain model architecture and neural network fundamentals.
• Experience owning models end to end from data through deployment and monitoring.
• Understanding delayed outcomes, sparse features, market drift.

Responsibilities

• Develop and improve models matching shoppers to likely-converting carriers and inform paid media spend and bidding.
• Bring quote, policy, and acquisition-cost outcomes into production models, accounting for delayed labels and incomplete sessions.
• Address repeat users, sparse data, changing market conditions, and the feedback effects of bids on future training data.
• Take models from analysis and validation through production monitoring, with attention to performance and changing objectives.
• Establish a scalable approach to automated marketplace bidding and expand the work beyond insurance over time.
• Communicate model decisions and tradeoffs so business partners can use the resulting systems with confidence.

Skills

Applied data science

Python

SQL

End-to-end model ownership

Model deployment

Paid media / bidding modeling

Tools

AWS SageMaker

S3

Athena

ECS

CI/CD deployment

Job description

launchpotato is seeking an experienced data scientist to own applied data science for an insurance marketplace ranking and paid media buying. You will build models that match shoppers to carriers and optimize media spend toward ROAS goals.

This hands-on role covers problem framing through deployment and monitoring, with an ML engineer supporting production. You will work with business partners to explain model decisions and adapt to delayed outcomes and evolving market conditions.