Lead Analytics and Machine Learning Engineer

3 weeks ago


San Francisco, California, United States Pendulum Full time
Pendulum is leading a revolution in healthcare by harnessing the power of data science and machine learning to transform the way people live. As a Lead Data Scientist with Pendulum, you will be at the forefront of this innovation, using your expertise in advanced analytics and marketing science to drive business growth and improve customer outcomes. In this role, you will develop predictive models, optimize marketing strategies, and collaborate with cross-functional teams to drive key business decisions.

You will be responsible for building and scaling experimentation frameworks, driving insights through A/B testing for acquisition, retention, and engagement strategies. Additionally, you will develop customer acquisition and retention KPIs, leveraging cohort data to track LTV, CAC, churn, and performance across sales channels. To succeed in this position, you will require a Master's or Ph.D. in Data Science, Statistics, Physics, Computer Science, or a related field, as well as 5+ years of experience in data science or advanced analytics in consumer industries.

A strong background in statistical analysis, including hypothesis testing and causal inference, is essential. Familiarity with web analytics tools like Google Analytics or Heap, and experience with deploying models to production, are also highly desirable. The salary for this role is estimated to be around $170,000-$225,000 per year, depending on experience. Benefits include medical, dental, and vision coverage, commuter benefits, life and STD insurance, a 401(k) match, flexible time off, and equity.

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