We re looking for an experienced, hands-on Data Scientist to lead analytics and operations for our paid marketing efforts. This role is central to significantly scaling our reach across digital and traditional paid marketing channels and platforms, ensuring our investments in paid marketing are driving measurable business outcomes.
In this role you will:
Own our marketing measurement strategy - from attribution modeling to incrementality testing - ensuring we have a crystal-clear view of what drives performance across our marketing mix.
Build and optimize dynamic LTV models that power our spend decisions, helping us target the right customers and maximize ROI across both B2B and B2C segments.
Create intuitive dashboards and reporting systems that track campaign performance and uncover optimization opportunities across digital and traditional channels.
Conduct detailed analysis to uncover trends, opportunities, and areas for optimization.
Work with engineering to drive automation and efficiency by procuring, implementing and managing our MarTech stack, including our marketing automation and tag management systems that scale our marketing operations.
Who you are
Were looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You ll strive with us if you:
Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
Consistently strive for excellence , delivering high-quality work quickly and exceeding expectations.
Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.
What you bring
We are seeking someone with a track record of driving meaningful business growth through paid marketing initiatives at a software company.
Experience building and scaling marketing measurement frameworks from the ground up, including multi-touch attribution models, incrementality measurements, LTV models, audience segmentations, etc.
Familiarity with analytics tools across the modern data and MarTech stack (SQL, python, BI tools, dbt, Google Tag Manager, etc.)
Bonus experience:
Technical enough to dive into the codebase when needed - whether its implementing tracking pixels, building data pipelines, or stitching data together across disparate data sources.
Experience working on a dual B2C/B2B business models.
Experience implementing and scaling MarTech stacks.