Data Scientist, Marketing Inference

🕒 June 18

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BetterHelp

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2013

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare • Healthcare Insurance • Wellness

BetterHelp is the world's largest online therapy service, offering professional, licensed, and vetted therapists to help with a range of issues including depression, anxiety, relationships, trauma, and more. The platform allows users to communicate with therapists via text, chat, phone, and video sessions, providing convenience and flexibility similar to traditional in-office therapy. BetterHelp matches users with licensed providers such as psychologists, licensed professional counselors, and clinical social workers, and offers therapy solutions for individuals, couples, and teens.

📋 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.

🎯 Requirements

• BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering • 3+ 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

🏖️ Benefits

• Remote work with regular in-person bonding experiences sponsored by the company • Competitive compensation • Holistic perks program (including free therapy, employee wellness, and more) • Excellent health, dental, and vision coverage • 401k benefits with employer matching contribution • 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