Senior Data Scientist, Product

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September 23

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Apollo.io

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B2B • SaaS • Artificial Intelligence

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.

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. • Establish and maintain best practices for data collection, analysis, and reporting. • Deliver actionable insights and recommendations focused on landing tangible product impact. • Help foster a culture of data-driven decision-making and continuous improvement within the product teams. • Ensure the integrity and accuracy of the data used for analysis and reporting. • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.

🎯 Requirements

• Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. • 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. • 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. • 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. • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS. • 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. • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense.

🏖️ Benefits

• equity • company bonus or sales commissions/bonuses • 401(k) plan • at least 10 paid holidays per year • flex PTO • parental leave • employee assistance program and wellbeing benefits • global travel coverage • life/AD&D/STD/LTD insurance • FSA/HSA and medical, dental, and vision benefits