Staff Data Scientist - Product

Apollo.io Apollo.io · Enterprise · United States · Analytics

Apollo.io is seeking a Staff Data Scientist to optimize existing products and support early-stage initiatives by translating business needs into data analysis, developing analytics infrastructure, and delivering actionable insights. The role requires expertise in product analytics, SQL, A/B testing, and machine learning to influence product strategy and drive tangible product impact within a fast-paced SaaS environment.

What you'd actually do

  1. Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products.
  2. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions.
  3. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions.
  4. Establish and maintain best practices for data collection, analysis, and reporting.
  5. Deliver actionable insights and recommendations focused on landing tangible product impact.

Skills

Required

  • SQL
  • A/B testing
  • machine learning
  • statistical analysis
  • R
  • Python
  • SAS
  • Product Analytics tools
  • Amplitude
  • Heap
  • Mixpanel
  • cohorting
  • time series analysis
  • funnel analysis/optimization

Nice to have

  • Looker
  • Amplitude
  • SaaS (Product-Led Growth) companies
  • 0 to 1 product initiatives

What the JD emphasized

  • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
  • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential.