Apollo.io
Senior Data Scientist - Product
$140K–$200K
Remote, United States +1 · Remote · Senior · Full-time · Posted Feb 26, 2026
- Location
- Remote, United States
United States - Education
- Degree in Analytics, Applied Mathematics, Economics, Statistics, or a related analytical field, or an equivalent combination of training and experience.
About the job
Use product analytics and data-driven insights to optimize Apollo’s products, inform product strategy, and support early-stage launches when applicable.
What you'll do
- Analyze product performance and user journeys, translating business questions into actionable recommendations.
- Build and maintain reliable analytics infrastructure and data practices for product decisions.
- Partner with product managers, engineers, and other stakeholders; identify metrics and analyze early-stage product data for launches when applicable.
What they ask for
- Degree in Analytics, Applied Mathematics, Economics, Statistics, or a related analytical field, or an equivalent combination of training and experience.
- Deep experience with exploratory analysis involving cohorting, time series, and funnel analysis or optimization.
- Expert-level proficiency using SQL, A/B testing, machine learning, and statistical analysis to influence product strategy.
- Experience with product analytics tools for tracking end-to-end journeys and funnels, such as Amplitude, Heap, or Mixpanel.
Nice to have
- Experience supporting SaaS Product-Led Growth companies with activation metrics.
- Experience with 0-to-1 product initiatives.
Pay
$160,000 — $200,000 USD (total cash compensation); $140,000 — $176,000 USD (total cash compensation)
Tools
SQL, A/B testing, machine learning, R, Python, SAS, Amplitude, Heap
AI focus
The posting describes Apollo as AI-native and encourages using AI and automation to improve productivity, but does not specify AI work required in this role.
Model-written summary · the original posting is authoritative