Senior Data Scientist, Marketing Insights

7 days ago


San Francisco, California, United States Pendulum Full time

About Pendulum

Pendulum is revolutionizing the way people understand and improve their physical and mental health by unlocking the secrets of the human microbiome. By leveraging cutting-edge technology and proprietary probiotic pipelines, the company is transforming the consumer probiotics market into a new category of therapeutic offerings that deliver the power and efficacy of a pharmaceutical with the safety and accessibility of a natural probiotic.

The company is seeking a highly skilled Senior Data Scientist, Marketing Insights to join their team. This individual will be responsible for transforming data into actionable insights and algorithms that drive key decisions in the company's consumer business. The ideal candidate will have expertise in advanced analytics and machine learning, with a strong background in marketing analytics and a proven ability to manage cross-functional projects and effectively communicate data insights to stakeholders.

Key Responsibilities:

  • Develop predictive models and optimize marketing strategies to drive business growth.
  • Collaborate with Sales and Marketing teams to understand business objectives and develop models and frameworks to solve complex problems.
  • Build and scale experimentation frameworks to drive insights through A/B testing for acquisition, retention, and engagement strategies.
  • Analyze customer data to track LTV, CAC, churn, and performance across sales channels.
  • Guide strategic marketing decisions, including budget allocation, targeting strategies, and ad personalization.

Requirements:

  • MSc/PhD in Data Science, Statistics, Physics, Computer Science, or a related field.
  • 5+ years of experience in data science or advanced analytics, in consumer industries.
  • Expertise in Python, SQL, Pandas, SparkSQL; familiar with data warehouses like Snowflake, BigQuery, or Redshift.
  • Solid background in statistical analysis, including hypothesis testing and causal inference.
  • Experience with marketing analytics, including segmentation, LTV, CAC, retention, and familiarity with web analytics tools like Google Analytics or Heap.


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