Senior Data Scientist - Go-To-Market (GTM)

Position Overview

• Location Type: Not Specified
• Employment Type: Not Specified
• Salary: Not Specified

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. This role focuses on enhancing Go-To-Market strategies through data-driven insights, optimizing sales, support, or marketing efforts, analyzing customer acquisition channels, and identifying opportunities to drive revenue growth. The Senior Data Scientist will collaborate with cross-functional teams to inform and refine the GTM approach.

Requirements

• Experience in GTM Analytics or similar role.
• Proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
• Expertise in translating complex data into actionable insights for cross-functional teams.
• Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus, though a focus on solving product challenges is more important.

Responsibilities

• Analyze GTM Performance: Evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
• Develop Predictive Models: Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
• Customer Segmentation: Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
• Collaborate with Teams: Work closely with Sales, Marketing, Finance, and Product teams to provide data-driven recommendations that enhance lead generation, conversion rates, and overall revenue.
• Analyze Pricing Strategies: Analyze pricing strategies and product offerings to determine optimal configurations that maximize market penetration and profitability.
• Design Experiments: Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
• Develop Dashboards: Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.

Application Instructions

• Not Specified