Data Scientist
About The Position
OpenArt is seeking a Data Scientist to be the first US-based hire for their data science function. This role is crucial for shaping the company's data science practice from the ground up and will have a direct impact on product strategy. The position sits at the intersection of product, analytics, and experimentation, focusing on translating data into product decisions that benefit millions of creators. The Data Scientist will collaborate with cross-functional teams including Product, Engineering, Data Engineering, Marketing, and Finance, leveraging 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 (e.g., regression, 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
- 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 Data Scientist 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
- 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
- Shape product development using data, quantify new opportunities, set goals, identify upcoming challenges, and ensure products deliver customer value.
- Develop hypotheses and utilize a diverse toolkit of analytical approaches 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 have access to trusted data for decision-making.
- Conduct deep-dives into user behavior on OpenArt to drive retention, engagement, and monetization.
- Communicate complex analyses into clear recommendations for stakeholders.
- Collaborate with Data Engineering on instrumentation and pipelines, Product/Eng on feature design and measurement, and Marketing/Finance on growth and revenue analytics.
- Establish data science best practices, mentor team members, and help shape the growing data science team.
Benefits
- Competitive base salary and bonus program
- Equity — meaningful ownership in what you build
- High autonomy, high growth environment
- Visa sponsorship available
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
