Senior Data Scientist - Product

United States Digital Space LLC; United States; Remote; USD 140,000 - 176,000; Full time

Benefits offered by this job

Equity

401(k)

Paid holidays

Flex PTO

Parental leave

Wellbeing benefits

Job summary

Apollo.io in the United States is seeking a Senior Data Scientist to shape product strategy through data, optimize existing products, and support early-stage initiatives. You will work with product managers, engineers, and other stakeholders to drive data-driven decisions.

The role emphasizes building reliable analytics infrastructure, funnel and cohort analyses, and translating complex data into actionable insights that improve user experience and product outcomes.

Qualifications

• Degree in Analytics, Applied Mathematics, Economics, Statistics, or related field.
• Extensive experience with cohorting, time series, and funnel analysis.
• Expert-level proficiency in SQL, A/B testing, machine learning, statistical analysis, and tools like R, Python, SAS.

Responsibilities

• Translate business needs into data analysis and actionable product insights.
• Collaborate with product managers, engineers, and other stakeholders to answer key questions.
• Develop and maintain a scalable analytics infrastructure to support product decisions.
• Establish best practices for data collection, analysis, and reporting.
• Deliver insights and recommendations to land tangible product impact.
• Support 0 to 1 product launches by analyzing early-stage product data when applicable.

Skills

SQL

A/B testing

Machine learning

Statistical analysis

R

Python

SAS

Amplitude

Heap

Mixpanel

Product analytics

Education

Degree in Analytics

Tools

Looker

Amplitude

Job description

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers.

Position Overview:

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.

What You’ll Do:

• 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.

What You Bring:

• 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.

Qualifications:

• 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.
• 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, ensuring insights align with customer needs and product goals.

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: 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.

Tier 1 Pay Range (San Francisco, New York City, Seattle)

$160,000—$200,000 USD

Tier 2 Pay Range (All other US Locations)

$140,000—$176,000 USD

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy toown your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving y