Data Scientist

BetterHelp; Mountain View (CA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Free therapy

401k matching

Comprehensive health coverage

Remote work with in-person bonding experiences

Job summary

BetterHelp is looking for a Data Scientist to help scale their impact by optimizing marketing efforts through data analysis. The ideal candidate should have a background in statistics and data analysis, preferably with experience in large data sets related to user behavior.

This position offers remote work, competitive compensation, and a comprehensive benefits package including holistic wellness perks and 401k matching.

Qualifications

• 3+ years of experience in a quantitative data analysis role.
• Expertise in statistics for hypothesis testing and experiment design.
• Experience analyzing large data sets related to user behavior.

Responsibilities

• Analyze large data sets to optimize marketing efforts.
• Develop and maintain Bayesian Marketing Mix and Multi-Touch Attribution models.
• Monitor marketing uplift tests and drive data-driven marketing decisions.

Skills

Data analysis

Hypothesis testing

Statistical modeling

Predictive analytics

Education

BSc/MA in a quantitative discipline

Tools

Tableau

Looker

Job description

BetterHelp 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’s largest online therapy service, providing affordable and convenient therapy 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. As a Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand‑in‑hand.

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 will have experience analyzing large and complex data sets related to web products and will contribute to 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.

  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). Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications.

  At 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.