BetterHelp is the world's largest online therapy service, providing a platform where individuals can connect with licensed therapists through text, chat, audio, or video sessions. The service allows users to easily find a therapist that fits their specific needs and preferences, making mental health support accessible from anywhere at any time. With a network of over 30,000 licensed providers, BetterHelp seeks to improve mental well-being by catering to a range of issues such as depression, anxiety, relationships, and trauma, while ensuring the same level of professionalism as traditional in-office therapy.
Internet • Professional Counseling • Therapy
March 29
BetterHelp is the world's largest online therapy service, providing a platform where individuals can connect with licensed therapists through text, chat, audio, or video sessions. The service allows users to easily find a therapist that fits their specific needs and preferences, making mental health support accessible from anywhere at any time. With a network of over 30,000 licensed providers, BetterHelp seeks to improve mental well-being by catering to a range of issues such as depression, anxiety, relationships, and trauma, while ensuring the same level of professionalism as traditional in-office therapy.
Internet • Professional Counseling • Therapy
• BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. • As a Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. • You will use cutting-edge methods to optimize our marketing efforts. • You will help us scale and increase our impact. • You will take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency. • You will contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Data-Driven Attribution model. • You will monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions. • You will look at complex problems and come up with testable models and algorithms that have measurable business impact. • You will enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.
• BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering • At least 3-5 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
• Competitive salary & equity compensation • Excellent health, dental, and vision coverage • 401k benefits with employer matching contribution • Unrivaled perks program (including free therapy, UberEats, and more) • Remote work with regular in-person bonding experiences sponsored by the company • Office in the heart of downtown Mountain View, a three-minute walk from Caltrain • Commuter benefits, FSA accounts, and Employee Stock Purchase Programs • The chance to build something that changes lives – and that people love • Any piece of hardware or software that will make you happy and productive • An awesome community of co-workers
Apply NowMarch 29
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