Madhive is seeking a Senior Data Scientist to design and implement the next generation of attribution and optimization products for our ad-tech ecosystem. In this role, you’ll apply advanced statistical modeling techniques to solve complex challenges within programmatic advertising, with a focus on CTV.
What You'll Do
- 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, ensuring models operate 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.
- 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 We're Looking For
- 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 Have
- Master’s or Ph.D. Degree in Computer Science, Statistics, Economics, or a hard science field.
- 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.
Technical Stack
- Python
- SQL
- GCP
- Vertex AI
Team & Environment
You will partner closely with engineering and product teams.
Benefits & Compensation
- Salary range: $180,000-$200,000
Work Mode
This is a global position.
Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace differences and believe they fuel creativity. We are committed to cultivating a culture of inclusion and collaboration, and welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.
