Data Scientist

About Arcade

Arcade is building the world’s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we’re building the infrastructure to make that real.

We’ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.

Arcade is headquartered in San Francisco’s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We’re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we’re building fast.

Role Summary

We are seeking an analytical, entrepreneurial Data Scientist to lead Arcade’s analytics, experimentation, and data science capabilities. This is a highly cross‑functional role that combines business analytics, product experimentation, and data platform leadership.

The ideal candidate is passionate about data‑driven decision‑making, hands‑on analysis, and building tools that help guide business and product strategy. You will work directly with Arcade’s leadership team—including Product, Go‑To‑Market, and Operations—to translate strategic objectives into measurable insights, models, and dashboards.

You will own the company’s data stack, ensuring the reliability and scalability of our analytics infrastructure. This role is based at Arcade’s headquarters in the Presidio, San Francisco (4–5 days per week on‑site).

Responsibilities

Manage all aspects of Arcade’s analytics, testing, and business intelligence initiatives

Partner with business leadership to design and maintain KPIs that govern company performance and resource allocation

Lead the design, implementation, and interpretation of A / B tests to inform product and marketing decisions

Develop and automate dashboards and reporting systems; train business users to self‑serve insights

Build scalable analysis frameworks to support Arcade’s AI‑driven product design and commerce platform

Collaborate with Product Management, Go‑To‑Market and Operations teams to develop tools and models that guide business operations

Conduct ad‑hoc strategic and financial analyses to support the CEO and Chief of Staff in company‑wide planning and decision‑making

Ensure best practices in data quality, experimentation methodology, and statistical rigor

Experience

2–3 years of experience in a data science, analytics, or business intelligence role

Proficiency in SQL and Python; strong experience using Jupyter notebooks for analysis and presentation

Demonstrated experience designing and analyzing A / B tests and other causal inference methods

Hands‑on familiarity with Hex, Tableau, or Looker—must have experience building user‑facing dashboards

Experience with BigQuery and the Google Cloud data ecosystem preferred; experience with any major cloud analytics platform required

Strong understanding of data modeling, ETL pipelines, and data warehouse architecture

Experience building predictive or statistical models that directly inform product, marketing, or business outcomes

Excellent communication skills, with the ability to synthesize complex quantitative findings into clear, actionable recommendations for non‑technical stakeholders

Nice to Have

Experience in e‑commerce, marketplaces, or AI‑driven product platforms

Familiarity with dbt, Retool, or modern data stack tools

Experience integrating analytics into workflow tools and operational decision‑making

Strong business intuition and ability to connect analytical insights to strategic priorities

Qualifications

Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative field

Strong analytical and problem‑solving skills with high attention to detail

Demonstrated ability to operate independently and thrive in a fast‑paced startup environment

Proven ability to work cross‑functionally and influence through data and insight

Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities, and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws.

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