[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

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