Data Scientist

OpenArt AI•San Francisco, CA

4d•Hybrid

About The Position

OpenArt is seeking a Data Scientist to be their first US-based hire in this function. This role is crucial for building the data science practice from the ground up and will operate at the intersection of product, analytics, and experimentation. The Data Scientist will translate data into product decisions that impact millions of creators, working closely with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance. The goal is to leverage technical skills, analytical thinking, and product intuition to enhance customer creative experiences and identify key product development challenges.

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 Haves

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

Responsibilities

Use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure products deliver customer value.
Develop hypotheses and use a variety of analytical approaches, methodologies, frameworks, and technical techniques to test them.
Design, run, and analyze A/B tests and other causal experiments, and help establish experimentation culture and standards.
Define and own key product metrics, build dashboards, and ensure leaders and teams have access to accurate, trusted data.
Analyze user behavior on the platform to understand creation, sharing, and engagement patterns, driving insights for retention, engagement, and monetization.
Communicate complex analyses into clear recommendations for Product Managers, engineers, and executives.
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.
Establish data science best practices, mentor team members over time, and help shape the team as it grows.