Data Scientist

About the role

We're looking for a Data Scientist to be our first DS hire in the US. This role sits at the intersection of product, analytics, and experimentation—focused on turning data into product decisions that move the needle for millions of creators. You'll work closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance.

Responsibilities

• Use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.
• Develop hypotheses and employ a diverse toolkit of rigorous analytical approaches—different methodologies, frameworks, and technical techniques—to test them.
• Design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.
• Define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.
• Deep-dive into how users create, share, and engage on OpenArt to surface insights that drive retention, engagement, and monetization.
• Communicate and influence by telling clear data stories—translate complex analyses into crisp recommendations for PMs, engineers, and execs.
• Collaborate with Data Engineering on instrumentation and pipelines, with Product/Eng on feature design and measurement, and with Marketing/Finance on growth and revenue analytics.
• Build the function: establish DS best practices, mentor over time, and help shape the team as it grows.

Requirements

• Bachelor's or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• Minimum 3 years of work experience in analytics or data science
• Expert SQL and strong Python skills
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees
• Strong product intuition—able to connect numbers to user behavior and product decisions
• Strong verbal and written communication skills; able to tell clear data stories to both technical and non-technical audiences
• A humble, collaborative, can-do attitude and natural curiosity
• High ownership, fast execution, and strong attention to detail

Nice to Have

• Experience as the first or early DS hire at a startup
• Experience working with consumer products, marketplaces, or creator/UGC platforms
• Familiarity with experimentation platforms and causal inference methods
• Experience with BigQuery, Amplitude, Metabase, or similar tools in data stack
• Experience partnering with marketing/growth teams (LTV, retention, funnel analysis)
• Exposure to AI/ML products or generative AI
• Comfort working across time zones with a globally distributed team

What We’re Looking For

• Core Requirements
• Nice to Have

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

Compensation Range

$300K - $400K