[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. Responsibilities 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 Skills 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 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, ensuring insights align with customer needs and product goals 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. 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 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 Benefits Equity Company bonus or sales commissions/bonuses 401(k) plan At least 10 paid holidays per year, flex PTO, and 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 Company Overview Building 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 Sponsorship Apollo.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.

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