Senior Data Scientist

Madhive

31d • $180,000 - $200,000 • Remote

About The Position

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media.
Madhive is currently seeking a Senior Data Scientist to join its growing team. This is a very exciting time to join Data Science at Madhive. We’re partnering with our engineering and product teams to create and scale best-in-class, TV-first solutions in the market. The Data Science team is directly responsible for the advanced data solutions and models that directly contribute to the company’s revenue and competitive advantage.
The ideal candidate is an expert in the ad-tech ecosystem, possessing deep technical and theoretical knowledge in programmatic media, Connected TV (CTV), and data-driven audience strategies. You will be responsible for designing and implementing our next generation of attribution and optimization products, with a strong focus on advanced statistical modeling techniques.

Requirements

• Master’s or Ph.D. Degree in Computer Science, Statistics, Economics, or a hard science field preferred.
• 7+ years of professional experience in a Data Scientist role, with a significant focus on the advertising technology (ad-tech) space.
• Deep, demonstrable expertise in DSPs, programmatic advertising, and CTV measurement.
• Proven track record in developing and deploying models for bidder optimization and attribution/measurement.
• Fluent in advanced statistical and machine learning techniques, with a strong command of Python and SQL.
• Strong communication skills, with the ability to articulate technical concepts and complex model results to non-technical stakeholders.
• Takes an innovative and research-oriented approach to problem-solving, with a focus on delivering high-quality, scientifically sound solutions.

Nice To Haves

• Experience with GCP and the Vertex AI ecosystem, as well as other tools such as feature stores and experiment tracking.
• experience with LLMs and agentic AI frameworks/solutions, with special focus on evaluation.

Responsibilities

• Architect and implement machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for programmatic campaigns with focus on CTV
• Lead the design of our model orchestration layer to solve complex multi-objective optimization challenges. Working at the intersection of Product and Engineering, you will ensure our model suite operates in sync to maximize performance across conflicting business KPIs
• Drive data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes.
• Collaborate closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance.
• Conduct deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations.
• Serve as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly.
• Mentor junior data scientists and contribute to the team's culture of rigorous experimentation, statistical excellence, and innovative problem-solving.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree