Staff Data Scientist - Product

Apollo.io

6h•$205,200 - $295,000•Remote

About The Position

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.

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.
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.
A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
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.

Nice To Haves

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 with 0 to 1 product initiatives is a plus, though not 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.

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.
Support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.