Staff Data Scientist - Product

United States Digital Space LLC; United States; Remote; USD 205,000 - 295,000; Full time

Benefits offered by this job

Equity

401(k)

Paid holidays

Flexible PTO

Parental leave

Wellbeing benefits

Travel coverage

Insurance

Job summary

Apollo.io in San Francisco is seeking a Senior Data Scientist to shape product strategy through data. You will translate business questions into analyses, partner with product managers and engineers, and build scalable analytics infrastructure.

The role emphasizes turning insights into product impact and fostering a data-driven culture across teams. A strong background in cohort/time-series analysis and ML is required.

Qualifications

• Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field.
• Deep experience with cohorting, time series analysis, and funnel analysis/optimization.
• Proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and tools like R, Python, SAS.
• Experience with SaaS (Product-Led Growth) companies and activation metrics.
• Familiarity with product analytics tools (Amplitude, Heap, Mixpanel) for end-to-end journey analysis.

Responsibilities

• Translate business needs into data analyses and actionable insights to optimize product performance and user experience for existing and new products.
• Collaborate with product managers, engineers, and cross-functional stakeholders to identify critical questions and provide data-driven solutions.
• Develop and maintain scalable, reliable analytics infrastructure to support product decisions.
• Establish and maintain best practices for data collection, analysis, and reporting.
• Deliver actionable insights and recommendations that land tangible product impact.
• Foster a culture of data-driven decision-making and continuous improvement within product teams.
• Ensure data integrity and accuracy of analyses and reports.
• Support 0 to 1 product launches by identifying key metrics and analyzing early-stage data when applicable.

Skills

Product analytics

SQL

A/B testing

Machine learning

Statistical analysis

Python

R

SAS

Education

Analytics degree

Applied Mathematics

Economics

Statistics

Tools

Amplitude

Heap

Mixpanel

R

Python

SAS

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.Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

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 programme 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)

$236,000—$295,000 USD

Tier 2 Pay Range (All other US Locations)

$205,200—$256,500 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