BetterHelp is looking for a Data Scientist to help scale and increase their impact by using data to drive insight into the product and business.
Requirements
- 1+ years of experience in a data science role or relevant internships
- Experience working with data from web or product environments
- Proficiency in SQL
- Hands-on experience with data analysis and statistical methods through work, internships, or academic projects
- Strong grasp of core analytical concepts and ability to apply them to ambiguous problems
Responsibilities
- Get insight from an enormous amount of data, and take a proactive role partnering with the product team in identifying and exploring data-driven ideas for improving our products
- Collaborate with the product and development teams to define metrics, evaluate performance, and support data-informed decision-making
- Monitor key business and product metrics, share actionable insights, and help drive strategy and prioritization
- Analyzing large and complex data sets related to web products
- Experiment design and post-hoc analysis to support product improvements and business decisions
- Hands-on experience with data analysis and statistical methods through work, internships, or academic projects
- Apply analytical skills to real-world problems
Other
- Degree in a quantitative discipline such as Statistics, Math, Economics, or Operations Research
- Clear and thoughtful communicator, with a desire to keep improving how complex ideas are shared across different audiences
- 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.
- 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.
