Data Scientist

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Open Art 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.

• First Data Scientist hire in the US --- set the bar, shape the function, and build the foundation of Open Art's data science practice.
• Direct impact on product strategy --- your work shapes what we build, how we prioritize, and how we measure success.
• Work across product, engineering, data, marketing, and finance --- one of the most cross-functional roles in the company.
• Build from 0 → 1 --- define how we use data to drive product decisions at Open Art.
• High ownership, low process, fast iteration environment.
• 7--10X revenue growth over the past 2 years --- now scaling our data and analytics infrastructure to match.

We're looking for a Data Scientist to be our first DS hire in the US (we have a Data Analyst based in Shenzhen) and help build Open Art's data science function from the ground up.

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. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their creative experience and help Open Art identify and solve product development's biggest challenges.

• Product leadership: 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.
• Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches --- different methodologies, frameworks, and technical techniques --- to test them.
• Experimentation: design, run, and analyze A/B tests and other causal experiments; help establish the experimentation culture and standards across the company.
• Metrics and measurement: define and own key product metrics, build dashboards, and ensure leaders and teams have accurate, trusted data to make decisions.
• User and behavioral analysis: deep-dive into how users create, share, and engage on Open Art to surface insights that drive retention, engagement, and monetization.
• Communication and influence: convince and influence your partners by telling clear data stories --- translate complex analyses into crisp recommendations for PMs, engineers, and execs.
• Cross-functional partnership: 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.

• 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

• 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 Big Query, 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

• Competitive base salary and bonus program
• Equity --- meaningful ownership in what you build
• High autonomy, high growth environment

• Bay Area (hybrid work environment, minimum 3 days per week in-office. Office is located in San Carlos)

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