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.

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

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