---
title: Marketing Data Scientist at OpenArt AI
description: OpenArt AI is hiring for the Marketing Data Scientist role in San Carlos, CA.
  Pays $300K–$400K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/marketing-data-scientist-at-openart-ai-01a0b2fe-4473-7a61-8059-0cd0cd3c35bf
date: 2026-09-27T23:25:50Z
og_description: Join OpenArt AI as Marketing Data Scientist in San Carlos, CA. Pays $300K–$400K
  per year. Full-time, hybrid role.
og_image: https://www.foundrole.com/og/li9mya.png
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---

| | |
|---|---|
| **Company** | OpenArt AI |
| **Location** | San Carlos, CA (Hybrid) |
| **Salary** | $300K/yr - $400K/yr |
| **Type** | Full Time |
| **Posted** | Sep 27, 2026 |
## Description

**🎨 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 (AI-native creative tools). You're joining while the trajectory is still steep and every measurement decision compounds.

- **Own the data science practice behind one of OpenArt's biggest growth levers** — marketing spend across influencer, paid, and lifecycle.

- Work across marketing, growth, product, data engineering, and finance — one of the most cross-functional roles in the company.

- **Build from 0 → 1.** The attribution model, channel taxonomy, and measurement stack are being laid down right now; you'll help finish the build and then run it.

- High ownership, low process, fast iteration environment.

**🎯 About the Role**

We're looking for a **Marketing Data Scientist** to be our first dedicated marketing DS, partnering with our Head of Data to build measurement, experimentation, and insights for OpenArt's marketing org — across performance marketing, influencer/UGC, and lifecycle/email.

You don't need to be an expert in every corner of marketing science. What we care about is that you're **strong in the fundamentals** (SQL, Python, experimentation, at least one measurement specialty), **have real product and business intuition**, and are **hungry to grow into the harder pieces** — with a Head of Data who's done all of it available to teach you.

You'll inherit and extend work already in flight — our multi-model attribution build, the Marketing Attribution Alignment with the marketing team, and live incrementality tests (Google brand vs non-brand, Director email upsell holdout). You'll also lead areas we haven't been able to cover well yet, most notably real-time influencer/UGC measurement — currently a big gap and a top priority.

**🛠 What You’ll Do**

### Marketing measurement & reviews (weekly rhythm)

- Own the weekly review with the influencer marketing team — bring the data, the read, and the recommendation.

- Build and maintain **real-time dashboards** for influencer/UGC traffic spikes, CAC / ROAS / payback across channels, and campaign-level performance.

- Debug attribution gaps across ad platforms, warehouse, and CRM (Meta Attribution Gap, Impact Radius, Google Ads conversion tracking are all live workstreams).

### Experimentation & insights

- Design and run **incrementality tests, holdout tests, and A/B tests** across marketing programs (email, paid channels, influencer where feasible).

- Partner on HDYHAU survey design and analysis to correct platform-reported CAC.

- Do the deep-dive analyses that shape spend decisions — creative reads, cohort/LTV analysis, channel efficiency, campaign post-mortems.

- Work on the marketing attribution build — channel/subchannel/partner taxonomy, attribution windows, priority chain, promo code handling, multi-model attribution.

- Contribute to per-creator influencer attribution instrumentation (unique codes / UTMs / landing pages).

- Grow into ownership of these areas over time as you build depth.

### Communication

- Translate insights into crisp, opinionated recommendations that marketing leaders actually use — written and verbal.

- Set the bar for experimentation rigor and marketing measurement quality at OpenArt.

**🧑‍💻 What We’re Looking For**

### Core Requirements

- **3–6 years** of experience in data science, analytics, or marketing science. We'll flex level and title based on candidate strength.

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

- **Meaningful experience supporting a marketing, growth, or lifecycle team** — you understand how marketers think and what decisions they need data to make.

- **At least one measurement specialty done well**: experimentation/incrementality, attribution, MMM, marketing analytics, or growth analytics. You don't need all of them — you need one that you're actually good at.

- **Strong product/business intuition** — you can look at a dashboard and know what's worth chasing.

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

- **High ownership and comfort in ambiguity** — you can figure out what needs doing and go do it.

What You'll Grow Into

We don't expect you to walk in with all of the below — but if you find these interesting and want to build depth here, this role is a great place to do it:

- Full-stack marketing attribution architecture (taxonomy, windows, multi-model, priority logic)

- MMM (build, buy, or vendor-partner)

- Instrumentation and UTM/tracking design at platform level

- Cross-channel spend strategy and marketing direction

### Nice to Have

- Experience measuring **influencer/creator/UGC marketing**

- Experience as an early or first data hire supporting a marketing org.

- Familiarity with our stack: BigQuery, Amplitude, Metabase, Stripe, Google/Meta/TikTok/Bing/Reddit Ads, GTM, Impact, Tolt.

- Experience in consumer product, marketplaces, creator platforms, or e-commerce.

- Exposure to AI/ML products or generative AI.

- Familiarity with privacy-era measurement (Consent Mode, SKAN/ATT, Privacy Sandbox).

**⚙ Tech Stack You’ll Work With**

BigQuery, SQL, Python, Amplitude, Metabase, Stripe, Google Ads, Meta Ads, TikTok Ads, Bing Ads, Reddit Ads, Linkedin Ads, GTM, Impact, Tolt, 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

**✉️ How to Apply**

Send your resume and a short note (links to GitHub/portfolio welcome) to <careers@openart.ai>.

Subject line: Application – Marketing Data Scientist – <Your Name>

Optionally include:

- A marketing measurement, experimentation, or attribution problem you're proud of solving

- An example of a recommendation you made that changed how a marketing team spent budget

- Your earliest start date and location/time zone
## Skills

- Customer Lifetime Value (Ltv)
- Debugging
- Analytics
- Go
- Reddit Advertising
- User-Generated Content (Ugc)
- Data Science
- Return on Ad Spend (Roas)
- Incrementality Testing
- Survey Design
- Influencer Marketing
- Python
- Landing Page Design
- Growth Metrics and Analytics
- SQL
- Customer Relationship Management
- E-Commerce
- Remote Authentication Dial-in User Service RADIUS Software
- Google Tag Manager
- Marketing Mix Modeling
- Generative AI
- Metabase
- UTM Tracking
- Stripe
- Incident Post-Mortem Analysis
- Amplitude
- Communication
- Google Ads
- Conversion Tracking
- Machine Learning
- TikTok
- Generative AI Foundations
- BigQuery
- Upselling
- Marketing Analytics
- Marketing Attribution

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/marketing-data-scientist-at-openart-ai-01a0b2fe-4473-7a61-8059-0cd0cd3c35bf?utm_source=ai_markdown)

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