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Senior Data Scientist - Remote

Posted 3 weeks ago
Data Analysis
Full Time
USA

Overview

Apollo.io is seeking a highly analytical and impact-driven Senior Data Scientist to enhance our Go-To-Market strategies through data-driven insights.

In Short

  • Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels.
  • Create models to forecast sales trends and customer lifetime value.
  • Develop clustering and segmentation techniques for customer groups.
  • Collaborate with Sales, Marketing, Finance, and Product teams for data-driven recommendations.
  • Analyze pricing strategies and product offerings for market penetration.
  • Design and implement experiments to test GTM tactics.
  • Develop and maintain dashboards for key GTM metrics.

Requirements

  • Experience in GTM Analytics or similar role in a SaaS environment.
  • Expertise in translating complex data into actionable insights.
  • Proficiency with data analytics tools (e.g., Looker, Amplitude) is a plus.
  • Experience in building and maintaining 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

  • Remote-first company with a focus on employee growth.
  • Resources and support for autonomy in your role.
  • Collaboration across departments to help you succeed.
  • Encouragement of bold ideas and courageous action.
  • Opportunity to push boundaries and thrive in your career.
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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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