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

Posted 4 Days Ago
Hiring Remotely in United States
Remote
Senior level
Sales • Software
Apollo is a leading B2B data intelligence and sales engagement platform, helping salespeople reach the right people.
The Role
The Senior Data Scientist will optimize go-to-market strategies by analyzing sales and marketing performance, creating predictive models, and collaborating with various teams to drive revenue growth. Responsibilities include developing customer segmentation techniques and implementing data-driven recommendations.
Summary Generated by Built In

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.

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to enhance our Go-To-Market strategies through data-driven insights. In this role, you will focus on optimizing sales, support, or marketing efforts, analyzing customer acquisition channels, and identifying opportunities to drive revenue growth. You will collaborate closely with cross-functional teams, including Sales, Marketing, Finance, and Product, to inform and refine our GTM approach.

What You’ll Do:

  • Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
  • Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
  • Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
  • 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 and product offerings to determine optimal configurations that maximize market penetration and profitability.
  • Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
  • Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.

What You Bring:

  • Experience in GTM Analytics or similar role, with a proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
  • Expertise in translating complex data into insights that are actionable for cross-functional teams.
  • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
  • Experience in building and maintaining reliable analytics infrastructures.
  • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
  • Experience with 0 to 1 product initiatives is a plus, though not required.
  • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.

Qualifications:

  • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
  • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
  • 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.
  • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
  • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.
Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

As a remote-first company, we invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

Top Skills

Python
R
SAS
SQL
The Company
HQ: San Francisco, California
190 Employees
On-site Workplace
Year Founded: 2015

What We Do

Founded in 2015, Apollo is a leading data intelligence and sales engagement platform trusted by 10,000 paying customers, from rapidly growing startups to some of the largest global enterprises. Its community-based approach to crowdsourcing data gives users maximum coverage while ensuring data accuracy.

Today, Apollo’s advanced algorithms and unique data acquisition methods help 1 million sales professionals enrich and analyze prospects’ data to increase quality conversations and opportunities.

Why Work With Us

Apollo is a product-led growth company focused as much on our customers as we are on our employees. Our culture is centered around two things: our values (ownership, integrity, curiosity, excellence, teamwork and fun), and our goal of helping customers maximize their full revenue potential on the Apollo platform.

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