# Product Data Scientist (Growth) at OpenArt AI

Product Data Scientist (Growth) at OpenArt AI in San Carlos, California, USA. Hybrid, full-time. Posted October 13, 2026.

- Company: OpenArt AI
- Location: San Carlos, California, USA
- Workplace: Hybrid
- Job type: Full-time
- Experience: 3+ years
- Posted: 2026-10-13
- Apply: https://jobs.ashbyhq.com/openart/94da224a-3f8b-4967-86e5-4ddee078ecc9/application
- Source: https://jobmagic.ai/jobs/product-data-scientist-growth-openart-ai-k9smwe

## Requirements

- 3–6 years of experience in data science or analytics supporting product, growth, or lifecycle teams (level and title flex based on candidate).
- Solid A/B testing depth. You've designed, run, and analyzed a lot of experiments.
- Strong SQL and Python — comfortable working with data end-to-end without hand-holding.
- Solid statistical foundation
- Product intuition and insight-generation instinct
- Excellent communication — you can tell a clear data story to a PM, an engineer, or a CPO, and hold your own in a room with strong opinions.
- High ownership and comfort in ambiguity.

## Description

### **Product Data Scientist (Growth)🎨 About OpenArt**

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.

### **🚀 Why Join OpenArt**

- **Ride an inflection point.** OpenArt has grown **7–10X in revenue over the past 2 years** in one of the hottest categories in tech. Every experiment you run compounds against a steep trajectory.

- **Own the experimentation practice** — you'll be the person who defines how OpenArt tests, learns, and ships product changes with real statistical rigor.

- **Direct impact on the funnel.** Your work will shape activation, conversion, monetization, and retention for millions of creators.

- **Meaningful equity, real upside** at an early-stage company with strong momentum.

- **Cross-functional partnership** with Product, Design, Engineering, and Data team.

- **Build from 0 → 1.** Experimentation infrastructure, growth measurement, and retention frameworks are being laid down now — you'll shape them.

- High ownership, low process, fast iteration environment.

### **🎯 About the Role**

We're looking for a **Product Data Scientist** focused on **growth and retention** to be the analytical partner PMs and engineers rely on when they ship changes to OpenArt's product experience.
This role sits at the intersection of **experimentation, product analytics, and growth strategy**. Your primary job is to turn data into product decisions that move the funnel — activation, conversion, monetization, and retention — through rigorous A/B testing and sharp behavioral insights.
You'll work closely with Product, Engineering, and Growth — designing and analyzing experiments across signup, onboarding, activation, paywall/pricing, feature adoption, and retention loops. You'll also do the deep-dive analyses that shape *what* teams decide to build in the first place: funnel diagnostics, cohort behavior, LTV segmentation, and retention driver analysis.

### **🛠 What You’ll Do**

### Experimentation (primary)

- Design, run, and analyze **A/B tests and other causal experiments** across signup, onboarding, activation, monetization, and retention surfaces.

- Set the bar for experimental rigor at OpenArt — help decide test sizing, MDE, run duration, primary/secondary metrics, and readout standards.

- Debug and resolve tricky test issues — sample ratio mismatch, novelty effects, interaction effects, multiple comparisons, segment heterogeneity.

- Build and evolve OpenArt's experimentation practice as we scale — playbooks, guardrails, and post-launch validation.

### Growth & retention insights

- Deep-dive analyses on the growth funnel: signup → activation → paid conversion → retention → resurrection.

- Own retention analysis — identify what drives long-term retention vs. churn, and translate that into product recommendations.

- LTV and cohort analyses that shape pricing, packaging, and monetization decisions.

- Behavioral segmentation — find the user segments that matter and what drives their behavior.

- Opportunity sizing — quantify the potential impact of proposed product changes *before* engineering builds them.

### Metrics & measurement

- Define and own key product metrics (activation, engagement, retention, monetization) alongside PMs.

- Build and validate dashboards that leaders trust.

- Ensure metric definitions stay consistent across product, marketing, and finance.

### Communication & influence

- Translate analyses into crisp, opinionated recommendations that PMs, engineers, and execs act on.

- Push back with data when a proposed experiment is underpowered, mis-scoped, or measuring the wrong thing.

### **🧑‍💻 What We’re Looking For**

### Core Requirements

- **3–6 years** of experience in data science or analytics supporting product, growth, or lifecycle teams (level and title flex based on candidate).

- **Solid A/B testing depth.** You've designed, run, and analyzed a lot of experiments.

- **Strong SQL and Python** — comfortable working with data end-to-end without hand-holding.

- **Solid statistical foundation**

- **Product intuition and insight-generation instinct**

- **Excellent communication** — you can tell a clear data story to a PM, an engineer, or a CPO, and hold your own in a room with strong opinions.

- **High ownership and comfort in ambiguity.**

### Nice to Have

- Experience as an early hire at a consumer startup.

- Experience with consumer products, marketplaces, or subscription businesses.

- Experience with experimentation platforms (in-house or vendor: Statsig, Optimizely, etc.).

- Familiarity with causal inference methods beyond A/B tests (diff-in-diff, synthetic control, propensity matching, CUPED).

- Experience with our stack: BigQuery, Amplitude, Metabase, Stripe, GCP.

- Exposure to AI/ML products or generative AI.

- Comfort working across time zones with a globally distributed team.

### **⚙ Tech Stack You’ll Work With**

BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP

### **💰 Compensation**

- Competitive base salary and bonus program

- Equity — meaningful ownership in what you build

- High autonomy, high growth environment

### **🌍 Work Setup**

- Bay Area preferred (hybrid allowed)

- Visa sponsorship available

- We’ll consider remote for exceptional candidates

###