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b'\n\t\t\tData Scientist\nMountain View, California, United States\nData Science & Analytics\nFull time\nDescription\nWho are we and why should you join us?\nBetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world\xe2\x80\x99s largest online therapy service providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we\xe2\x80\x99re not stopping there as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.\nAs a data scientist at BetterHelp, you\xe2\x80\x99ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We seriously invest in our team\xe2\x80\x99s well-being and professional development, because we know that business and individual growth go hand-in-hand.\nAt BetterHelp, you\xe2\x80\x99ll carve your own path, make an immediate impact, and be challenged every day with a supportive community behind you the whole way.\nWhat are we looking for?\nBetterHelp is looking for a Data Scientist to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience analyzing large and complex data sets related to web products. You\xe2\x80\x99ll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.\nWhat will you do?\n\nGet insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products.\nCollaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects.\nMonitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions.\nLook at complex problems and come up with testable models and algorithms that have measurable business impact.\nEnjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people\xe2\x80\x99s lives.\n\nWhat will you NOT do?\n\nYou will NOT worry about funding. We have startup DNA, but we\xe2\x80\x99re fully backed and funded by our parent company, Teladoc Health.\nYou will NOT be confined to your \xe2\x80\x9cjob\xe2\x80\x9d. We believe in nurturing employees\xe2\x80\x99 interests and passions even if some of them lie outside of your core responsibilities.\nYou will NOT be bogged down by office politics, egos, or bad attitudes. Only positive, pleasure-to-work-with people are allowed here!\nYou will NOT get burned out. We work hard, but we also believe in maintaining sustainable work/life balance. Seriously.\nYou will NOT have to wonder why you\xe2\x80\x99re doing the work you\xe2\x80\x99re doing. Our day-to-day operations translate into people getting the help they need.\n\nCan I work remotely?\nYes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to six times per year to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel.\nRequirements\n\nBSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering\nAt least 1-4 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets\nExpertise in statistics, especially as it relates to hypothesis testing and experiment design\nExperience 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\nExperience building predictive models and causal inference models\nExperience analyzing large and complex data sets to drive business insights and decisions\nExpertise in using tools like R and Python for data analysis\nProven success supporting or making business decisions based on your data analysis\nExcellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences.\nAdvanced experience with SQL\nAbility to work in the US, to travel to our Mountain View, California offices up to six times per year and to an additional company offsite.\n\nBonus (Great to have but not required)\n\nExperience analyzing two-sided marketplaces\nExperience with B2C, marketplace products\nExperience with BI tools like Tableau and Looker\nExperience with inference models\n\nBenefits\n\nCompetitive salary & equity compensation\nExcellent health, dental, and vision coverage\n401k benefits with employer matching contribution\nUnrivaled perks program (including free therapy, UberEats, and more)\nRemote work with regular in-person bonding experiences sponsored by the company\nOffice in the heart of downtown Mountain View, a three-minute walk from Caltrain\nCommuter benefits, FSA accounts, and Employee Stock Purchase Programs\nThe chance to build something that changes lives and that people love\nAny piece of hardware or software that will make you happy and productive\nAn awesome community of co-workers\n\nThe base salary range for this position is $90,000-$125,000. In addition to the base salary, this position is eligible for a performance bonus, RSUs, and the extensive benefits listed here (subject to eligibility requirements):\n. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.\nAt BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.\n\t\t'