Founding Data Scientist

Data science You will personally own a significant chunk of customer data analysis and take responsibility for customer deliverables. While you may not have it when you join, you will develop expert-level knowledge with marketing mix modeling and causal inference analysis. You will lead the definition of the quality bar for data science at Paramark. This will involve adapting best practices in data science to the Marketing domain, with its requirements and constraints. This runs the gamut from data selection, to model selection, to data visualization, and more. You will lead roadmap discussions and suggest ways to improve both the quality and automation of our data science workflows. You will also contribute to product roadmap discussions, identifying ways we can improve the customer experience. You will coach our software engineers and our data scientists as they perform customer data analysis and define clear standards they can follow. You will play a major role in hiring data scientists and scaling the function as we grow. Helping customers While you may not have it on day one, you will build strong domain knowledge around Marketing over time. You'll set an example for customer obsession, understanding that we can't find the right thing to do without a deep knowledge of the customer and their needs. Working closely with our customer success team, you'll meet with customers, work to understand their needs, and present our insights and recommendations so that they can go on to explain to others. Building software You will contribute code to our internal-facing admin application, where we operate our data science workflows. You will proactively add automation to improve our productivity, and collaborate with our software engineers to do this. You will keep software quality high as required for an internal app that is critical to the team's work.

We are building a product to help Marketers optimize their spend across any number of channels and programs. There are proven scientific ways to do this, but they are poorly understood and practiced by only a tiny fraction of teams. Companies waste millions on campaigns that don't work, while failing to invest in critical long-term initiatives whose impact is harder to measure. Most are sorely lacking in both measurement and experimentation capability. We're fixing this by creating a system of record that teams use to understand and forecast the impact of their Marketing, as well as to experiment with new ideas. The opportunity is huge: 300k+ mid-market businesses worldwide, spending $1T on marketing annually, with a large chunk of that going to waste. Our target customer spends between $10M and $100M on Marketing annually. We founded the company in 2023 and are seeing strong traction. We have 13 recurring customers and 4 in progress pilots, and revenue is growing faster each quarter than the last. We work 3-5 days a week from our office in Burlingame, CA, and we're moving to San Francisco in the coming weeks. We thrive on in-person collaboration, but we also want to strike the right balance and give everyone the flexibility they need. We've raised $8M from top tier investors and have several prominent CXO-level advisors and angels from companies like Dropbox, Salesforce, PagerDuty, Miro, Webflow, Asana, Pilot, Otter.ai, and Gong.io.