Lead Applied Scientist - ROAS & Ad Tech

Launch Potato

United States

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Profit-sharing bonus
Competitive benefits

Job summary

Launch Potato, a dynamic and innovative digital media company, seeks a skilled Data Scientist to lead its data science initiatives. This role is pivotal in managing the Insurance vertical’s modeling work and focuses on delivering impactful revenue results through strategic data handling.

Applicants should have extensive experience in digital marketing and data science, particularly with a strong background in building machine learning solutions in the AWS cloud and applying advanced modeling techniques.

The position carries a competitive salary and benefits package, highlighting the company's commitment to performance-driven compensation.

Qualifications

  • 5+ years in a hands-on, applied data science role.
  • Expertise in Python and SQL required.
  • Experience building ad-tech algorithms desired.

Responsibilities

  • Own the data science engine for the Insurance vertical.
  • Deliver buying models with measurable ROAS impact.
  • Identify new modeling opportunities.

Skills

Digital marketing experience
Ad-tech algorithm building
Modeling fundamentals
Machine learning solutions in AWS
Multi-armed bandit and reinforcement learning
Expertise in Python
Expertise in SQL

Job description

Launch Potato, a dynamic and innovative digital media company, seeks a skilled Data Scientist to lead its data science initiatives. This role is pivotal in managing the Insurance vertical’s modeling work and focuses on delivering impactful revenue results through strategic data handling.

Applicants should have extensive experience in digital marketing and data science, particularly with a strong background in building machine learning solutions in the AWS cloud and applying advanced modeling techniques.

The position carries a competitive salary and benefits package, highlighting the company's commitment to performance-driven compensation.

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