Senior Data Scientist - Go-To-Market

February 21

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Apollo.io

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Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 Requirements

• 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.