Staff Data Scientist (Marketing)

TL;DR

Staff Data Scientist (Marketing): Building and optimizing data science engines for high-growth digital media verticals with an accent on ROAS, lead quality, and adtech algorithms. Focus on developing end-to-end ML solutions, from business problem framing to deployment in AWS, to drive measurable revenue and media efficiency.

Location: Must be based in the United States (Remote)

Company

A profitable digital media company connecting consumers with leading brands through data-driven content and technology.

What you will do

• Own the full data science lifecycle for the Insurance vertical, focusing on ROAS and lead quality.
• Develop and deploy buying models to maintain positive ROAS and high-quality leads.
• Drive lead quality improvements across various brand formats including Messaging, Funnels, and Content/Listicles.
• Partner directly with vertical business stakeholders to frame problems and define metrics.
• Build and validate ML models, collaborating with ML engineers for final deployment, monitoring, and performance analysis.
• Identify and implement net-new modeling opportunities to accelerate revenue growth.

Requirements

• 5+ years of hands-on experience in an applied data science role delivering measurable business impact.
• Proven expertise in digital marketing, performance marketing, or the leadgen industry.
• Expert proficiency in Python and SQL.
• Multi-year experience building and deploying ML solutions within the AWS cloud.
• Hands-on experience with multi-armed bandits, reinforcement learning, recommendation systems, and LTV modeling.
• Must be based in the United States.

Nice to have

• Experience with sophisticated ML in companies where paid digital media is the core business model.
• Experience with creative embeddings (videos, headlines, search) in paid media models.
• Insurance domain expertise or experience creating state-of-the-art Ad Ranking algorithms.
• Experience modeling against ad-platform data from Google or Meta.
• Knowledge of LLMs or deep learning applied to personalization and content.
• Familiarity with Looker.

Culture & Benefits

• Remote-first culture with a global team spanning over 15 countries.
• High-growth, high-performance environment emphasizing speed, ownership, and measurable impact.
• Comprehensive compensation package including base salary, profit-sharing bonus, and competitive benefits.
• Performance-driven growth opportunities where increases are based on company and personal achievement.