Senior Data Scientist - Product (AI)

TL;DR

Senior Data Scientist - Product (AI): Optimizing existing products and supporting early-stage product initiatives by translating business needs into data analysis and actionable insights. Focus on transforming data into actionable insights and providing data-driven solutions to cross-functional teams.

Location: Remote, United States

Salary: $160,000 - $200,000 USD (San Francisco, New York City, Seattle), $140,000 - $176,000 USD (All other US Locations)

Company

hirify.global is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally.

What you will do

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience.
• 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.
• Support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.

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.
• 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.

Nice to have

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

Culture & Benefits

• The company is AI Native and built on a culture of continuous improvement.
• Investments are made deeply in your growth, ensuring you have the resources, support, and autonomy to own 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.
• Encouragement to share bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.
• Additional benefits 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.