BetterHelp

Data Scientist, Marketing Inference

BetterHelp$130K — $160K *
US-AnywhereRemote in United States
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BSc/MA in a quantitative discipline (Statistics, Math, Economics, Computer Science, Operations Research, Engineering)
  • 3+ years in quantitative data analysis role focusing on user behavior
  • Expertise in statistical analysis, hypothesis testing, and experiment design
  • Experience with A/B testing and advanced statistical methods
  • Ability to build predictive and causal inference models
  • Advanced skills in SQL and data analysis tools such as R and Python
  • Strong communication skills for conveying complex data to non-technical audiences

Responsibilities

  • Extract actionable insights from large datasets to support marketing initiatives
  • Develop and maintain sophisticated marketing models like Bayesian Marketing Mix and Multi-Touch Attribution
  • Monitor and analyze marketing uplift tests, presenting findings to guide decisions
  • Design testable models and algorithms for real business impact
  • Collaborate actively with the marketing team to explore data-driven strategies
  • Cultivate a positive team environment that values fun and impactful work
  • Engage with various aspects of the business beyond traditional data roles

Benefits

  • Remote work with regular bonding experiences
  • Holistic perks program including free therapy and wellness support
  • Health, dental, and vision coverage
  • 401k with employer matching
  • Opportunity to contribute to meaningful work that changes lives
  • Access to any hardware or software to boost productivity
  • Supportive and collaborative company culture
Full Job Description
What are we looking for?

BetterHelp is looking for a 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.
What will you do?
  • 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?

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. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.
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

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
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

The base salary range for this position is $130,000 - $160,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. 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.

About BetterHelp

BetterHelp is an online counseling platform that provides access to licensed therapists through video, phone, and messaging. The company was founded in 2013 by Alon Matas and Danny Bragonier. BetterHelp offers a range of services including individual counseling, couples counseling, and teen counseling. The platform is available 24/7 and offers affordable pricing options. BetterHelp has been featured in various media outlets including The New York Times, The Wall Street Journal, and CNN.
Learn more about BetterHelp
Size
1,000 employees
Industry
Founded
2013

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