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Founding Data Scientist
ParamarkSan Francisco, United Statesfull_timeVerifiedPosted 17 May 2025
💰 $237,000/yr($166,000/yr – $237,000/yr)
About the role
Paramark
Marketing measurement, forecasting, and experimentation for fast-growing businesses
Founding Data ScientistSan Francisco, CA (in-person, flexible)Full-time6+ years of experience
Base Salary ranges by level (Engineering Levels)
Offers also include an equity package. Equity range is available upon request.
Please reach out to Pete Belknap (pete@paramark.com) to learn more.
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 about 25 recurring customers, all large companies, and revenue is growing faster each quarter than the last.
We work 3-5 days a week from our office in San Francisco. 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.
Marketing measurement, forecasting, and experimentation for fast-growing businesses
Founding Data ScientistSan Francisco, CA (in-person, flexible)Full-time6+ years of experience
Base Salary ranges by level (Engineering Levels)
- L3: $166k-$186k
- L4: $179k-$199k
- L5: $197k-$237k
Offers also include an equity package. Equity range is available upon request.
Please reach out to Pete Belknap (pete@paramark.com) to learn more.
The company
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 about 25 recurring customers, all large companies, and revenue is growing faster each quarter than the last.
We work 3-5 days a week from our office in San Francisco. 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.
Read more
The opportunity
Your team
- The team is the founders, Pranav and Pete, and three engineers (Hourann, Daniel, and Jason).
- We believe that the best teams are driven from the bottom up. We’re excited for how you will influence us.
Your role
- 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.
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