About Us:
Podscribe is an innovative player in the podcast advertising space, helping brands optimize and measure their podcast ad campaigns with cutting-edge data insights. We are looking for a Senior Data Science Incrementality Engineer with deep expertise in marketing analytics and incrementality modeling to join our growing team. If you have a passion for data science, incrementality, and attribution, and are eager to make an impact in a high-growth environment, this could be the role and team for you.
About the role:
As a Senior Data Science Incrementality Engineer at Podscribe, you will be responsible for fine-tuning our incrementality and attribution models, playing a key role in how we measure and optimize podcast ad performance. You will work closely with our data and product teams to drive the development of sophisticated models that deliver actionable insights for our clients. Your expertise in marketing analytics, incrementality, and data science will help shape the future of our measurement technology.
Responsibilities:
Lead the tuning and optimization of Podscribe’s incrementality and attribution models.
Develop, test, and refine complex models to accurately measure the impact of podcast advertising on business outcomes.
Ensure a clear understanding of the differences between attribution and incrementality in marketing analytics, and apply this knowledge to data modeling.
Collaborate with cross-functional teams, including product and data science, to improve and innovate measurement methodologies.
Translate complex data science concepts into actionable insights for stakeholders, helping brands make data-driven decisions.
Work with large datasets and advanced analytics tools to enhance our platform’s ability to provide meaningful marketing insights.
Qualifications:
Experience at a measurement company focusing on marketing analytics.
Extensive experience with marketing analytics, data science, and incrementality modeling.
Strong understanding of the differences between attribution and incrementality and how to apply them in measurement.
Proficiency in data science, with experience in building and tuning incrementality and attribution models.
Solid background in handling large datasets, running statistical analyses, and deriving insights from data.
Strong technical skills and the ability to communicate complex concepts to non-technical stakeholders.
Bachelor's degree or higher in a STEM-related field is a plus
Why Podscribe?
Work with a cutting-edge team that’s shaping the future of podcast ad measurement.
Play a pivotal role in developing new measurement methodologies that drive real impact.
Enjoy a dynamic, fast-paced startup environment with opportunities for growth.
Skills Required
- Experience at a measurement company focusing on marketing analytics
- Extensive experience with marketing analytics, data science, and incrementality modeling
- Strong understanding of attribution versus incrementality in marketing analytics
- Proficiency building and tuning incrementality and attribution models
- Solid background handling large datasets and running statistical analyses
- Strong technical communication skills for non-technical stakeholders
- Bachelor's degree or higher in a STEM-related field
What We Do
Podscribe is a leading independent measurement and attribution platform for podcast and audio advertising. It provides advertisers, agencies, and publishers with tools for pixel-based attribution, automated ad verification (airchecks), and real-time analytics across podcasting, streaming audio, YouTube, radio, and CTV to help them measure true campaign impact, optimize performance, and scale with confidence.
