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Senior Data Scientist - Product - Remote

Posted 22 weeks ago
Data Analysis
Full Time
United States

Overview

Apollo.io is seeking a highly analytical and impact-driven Senior Data Scientist to help shape product strategy and decision-making through data, focusing on optimizing existing products and supporting early-stage product initiatives.

In Short

  • Translate business needs into data analysis and actionable insights.
  • Work with product managers and engineers to identify critical product questions.
  • Develop and maintain a scalable analytics infrastructure.
  • Establish best practices for data collection and reporting.
  • Deliver actionable insights focused on product impact.
  • Foster a culture of data-driven decision-making.
  • Ensure data integrity and accuracy.
  • Support product launches by analyzing early-stage product data.

Requirements

  • Strong experience in product analytics or similar data-focused role.
  • Expertise in translating complex data into actionable insights.
  • Proficiency with data analytics tools (e.g., Looker, Amplitude) is a plus.
  • Experience in building reliable analytics infrastructures.
  • Excellent communication skills for presenting data insights.
  • Experience with 0 to 1 product initiatives is a plus.
  • A high level of accountability and passion for continuous learning.

Benefits

  • Great compensation package.
  • Culture that thrives in openness and excellence.
  • Support for remote employees’ career development.
  • Collaborative team environment.
  • Encouragement to experiment and take educated risks.
Apollo.io logo

Apollo.io

Apollo.io is a dynamic startup focused on providing a world-class onboarding experience for self-service customers in small to medium-sized businesses (SMBs). The company aims to empower new users to effectively utilize its platform within the first 90 days, ensuring they achieve a return on investment. As a collaborative and innovative organization, Apollo.io values the contributions of its Product Specialist team, which plays a crucial role in teaching customers about the product, creating training materials, and continuously improving the onboarding process through shared learnings and feedback.

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