[Remote] Staff Data Scientist - Product

Note: The job is a remote job and is open to candidates in USA. Apollo.io is the leading go-to-market solution for revenue teams, providing sales and marketing teams with access to verified contact data and tools for engagement. They are seeking a highly analytical and impact-driven Senior Data Scientist to optimize product performance and support product initiatives through data-driven insights.ResponsibilitiesTranslate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new productsWork closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutionsDevelop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisionsEstablish and maintain best practices for data collection, analysis, and reportingDeliver actionable insights and recommendations focused on landing tangible product impactHelp foster a culture of data-driven decision-making and continuous improvement within the product teamsEnsure the integrity and accuracy of the data used for analysis and reportingWhile the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicableSkillsDegree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experienceDeep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is requiredExpert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is requiredExperience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essentialProven 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 goalsStrong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through dataExpertise in translating complex data into insights that are actionable for cross-functional teamsProficiency 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 experienceExperience in building and maintaining reliable analytics infrastructuresExcellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholdersExperience with 0 to 1 product initiatives is a plus, though not requiredA high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environmentPrevious or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plusBenefitsEquityCompany bonus or sales commissions/bonuses401(k) planAt least 10 paid holidays per year, flex PTO, and parental leaveEmployee assistance program and wellbeing benefitsGlobal travel coverageLife/AD&D/STD/LTD insuranceFSA/HSA and medical, dental, and vision benefitsCompany OverviewBuilding the industry’s first fully agentic GTM platform, transforming how revenue teams execute It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://www.apollo.io.Company H1B SponsorshipApollo.io has a track record of offering H1B sponsorships, with 2 in 2026, 13 in 2025, 7 in 2024, 6 in 2023, 2 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.