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.

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

Benefits

Health insurance
Professional development opportunities
Flexible work hours
Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningcampaign optimizationbid strategiesbudget allocationpacing algorithmsdata analysisstatistical techniquesPythonSQLmodel development

Soft Skills

communication skillsmentoringproblem-solvingcollaborationinnovationanalytical thinkingpresentation skillsteam culture contributionstrategic insight translationstakeholder engagement

Certifications

Master’s DegreePh.D. Degree