> Markdown version of [/jobs/ext/2071150-staff-data-scientist-marketing-inference](https://www.wearedevelopers.com/jobs/ext/2071150-staff-data-scientist-marketing-inference). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Scientist, Marketing Inference - **Company:** BetterHelp - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Big Data, Data Files, Design of User Interfaces, Statistical Hypothesis Testing, SQL Databases, Tableau (Software), Information Technology, Looker Analytics - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8uq7trsa ## About the Role BetterHelp is looking for a Staff Data Scientist to help us scale and increase our impact. You will use cutting-edge methods to optimize our marketing efforts. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be contributing to efforts in marketing inference, including our Marketing Mix Model and Attribution., * BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering * At least 5-8 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets * Expertise in statistics, especially as it relates to hypothesis testing and experiment design * Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data * Experience building predictive models and causal inference models * Experience analyzing large and complex data sets to drive business insights and decisions * Expertise in using tools like R and Python for data analysis * Proven success supporting or making business decisions based on your data analysis * Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences. * Advanced experience with SQL Bonus (Great To Have But Not Required) * Experience with Bayesian modeling methods * Experience with Marketing Mix Models and Multi-Touch Attribution models * Experience analyzing two-sided marketplaces * Experience with B2C, marketplace products * Experience with BI tools like Tableau and Looker ## Description * Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency. * Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions. * Look at complex problems and come up with testable models and algorithms that have measurable business impact. * Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? * You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. * You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. * You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! * You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? ⓘ View potential timezone restrictions Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. 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