Product Data Scientist (AI)

Location: In-person at the NYC HQ in Union Square, New York City

Salary: $120K–$180K annually, plus equity

Company

hirify.global is an AI video company building Captions, a creative workspace for generating, editing, and designing video, along with video-editing tools and generative models available through products and APIs.

What you will do

• Embed with the iOS or web product team from planning through launch, defining hypotheses, success criteria, metrics, and measurement approaches.
• Analyze product and user behavior to identify high-leverage opportunities, recommend actions, and measure impact.
• Design and evaluate A/B tests and other product measurements, including appropriate guardrails.
• Create executive-ready visualizations, dashboards, experiment readouts, and decision memos.
• Build machine learning and statistical models to solve user problems and improve the product experience.
• Design AI-native tools, automated workflows, and self-service systems for data science and analytics.

Requirements

• Bachelor’s degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation.
• 3+ years of experience in product analytics or product data science within a consumer product team.
• High proficiency in SQL and Python or R, including analytical libraries such as pandas, NumPy, SciPy, or Tidyverse.
• Experience with statistical analysis, experimental design, causal inference, and machine learning applied to product problems.
• Experience using AI for exploration, analysis, experimentation, and modeling, including validating and debugging generated work.
• Strong written and verbal communication skills, with the ability to explain uncertainty and lead technical and nontechnical partners toward decisions.

Nice to have

• Experience with iOS or web analytics, instrumentation, release measurement, funnels, or experimentation.
• Experience with dbt, cloud data warehouses, and large event datasets.
• Experience applying product analytics to a consumer creative product.
• Experience building reusable AI-powered data science systems, agents, orchestration layers, or automated analysis workflows.
• Strong user empathy, curiosity, independence, and comfort operating through ambiguity.

Culture & Benefits

• AI-first workflow using tools such as Codex and Claude Code.
• Medical, dental, and vision plans.
• 401(k) with employer match, commuter benefits, and generous PTO.
• Catered lunch multiple days per week, dinner stipend for late work, and a Grubhub subscription.
• Health and wellness perks, multiple team offsites per year, and monthly team events.