{"id":15026,"date":"2026-10-14T15:20:57","date_gmt":"2026-10-14T15:20:57","guid":{"rendered":"https:\/\/kick-start.us\/?post_type=job_listing&#038;p=15026"},"modified":"2026-10-14T15:20:57","modified_gmt":"2026-10-14T15:20:57","slug":"california-396-product-data-scientist-growth","status":"publish","type":"job_listing","link":"https:\/\/kick-start.us\/es\/vaga\/california-396-product-data-scientist-growth\/","title":{"rendered":"Product Data Scientist (Growth)"},"content":{"rendered":"<p>Product Data Scientist (Growth)<br \/>About OpenArt<br \/>OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We\u2019re 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\u2019re shaping that future.<\/p>\n<p>Why Join OpenArt<br \/>Ride an inflection point. OpenArt has grown 7\u201310X in revenue over the past 2 years in one of the hottest categories in tech. Every experiment you run compounds against a steep trajectory.<br \/>Own the experimentation practice \u2014 you&#8217;ll be the person who defines how OpenArt tests, learns, and ships product changes with real statistical rigor.<br \/>Direct impact on the funnel. Your work will shape activation, conversion, monetization, and retention for millions of creators.<br \/>Meaningful equity, real upside at an early-stage company with strong momentum.<br \/>Cross-functional partnership with Product, Design, Engineering, and Data team.<br \/>Build from 0 1. Experimentation infrastructure, growth measurement, and retention frameworks are being laid down now \u2014 you&#8217;ll shape them.<br \/>High ownership, low process, fast iteration environment.<br \/>About the Role<br \/>We&#8217;re looking for a Product Data Scientist focused on growth and retention to be the analytical partner PMs and engineers rely on when they ship changes to OpenArt&#8217;s product experience.<\/p>\n<p>This role sits at the intersection of experimentation, product analytics, and growth strategy. Your primary job is to turn data into product decisions that move the funnel \u2014 activation, conversion, monetization, and retention \u2014 through rigorous A\/B testing and sharp behavioral insights.<\/p>\n<p>You&#8217;ll work closely with Product, Engineering, and Growth \u2014 designing and analyzing experiments across signup, onboarding, activation, paywall\/pricing, feature adoption, and retention loops. You&#8217;ll also do the deep-dive analyses that shape what teams decide to build in the first place: funnel diagnostics, cohort behavior, LTV segmentation, and retention driver analysis.<\/p>\n<p>What You\u2019ll Do<br \/>Experimentation (primary)<br \/>Design, run, and analyze A\/B tests and other causal experiments across signup, onboarding, activation, monetization, and retention surfaces.<br \/>Set the bar for experimental rigor at OpenArt \u2014 help decide test sizing, MDE, run duration, primary\/secondary metrics, and readout standards.<br \/>Debug and resolve tricky test issues \u2014 sample ratio mismatch, novelty effects, interaction effects, multiple comparisons, segment heterogeneity.<br \/>Build and evolve OpenArt&#8217;s experimentation practice as we scale \u2014 playbooks, guardrails, and post-launch validation.<br \/>Growth &amp; retention insights<br \/>Deep-dive analyses on the growth funnel: signup activation paid conversion retention resurrection.<br \/>Own retention analysis \u2014 identify what drives long-term retention vs. churn, and translate that into product recommendations.<br \/>LTV and cohort analyses that shape pricing, packaging, and monetization decisions.<br \/>Behavioral segmentation \u2014 find the user segments that matter and what drives their behavior.<br \/>Opportunity sizing \u2014 quantify the potential impact of proposed product changes before engineering builds them.<br \/>Metrics &amp; measurement<br \/>Define and own key product metrics (activation, engagement, retention, monetization) alongside PMs.<br \/>Build and validate dashboards that leaders trust.<br \/>Ensure metric definitions stay consistent across product, marketing, and finance.<br \/>Communication &amp; influence<br \/>Translate analyses into crisp, opinionated recommendations that PMs, engineers, and execs act on.<br \/>Push back with data when a proposed experiment is underpowered, mis-scoped, or measuring the wrong thing.<br \/>What We\u2019re Looking For<br \/>Core Requirements<br \/>3\u20136 years of experience in data science or analytics supporting product, growth, or lifecycle teams (level and title flex based on candidate).<br \/>Solid A\/B testing depth. You&#8217;ve designed, run, and analyzed a lot of experiments.<br \/>Strong SQL and Python \u2014 comfortable working with data end-to-end without hand-holding.<br \/>Solid statistical foundation<br \/>Product intuition and insight-generation instinct<br \/>Excellent communication \u2014 you can tell a clear data story to a PM, an engineer, or a CPO, and hold your own in a room with strong opinions.<br \/>High ownership and comfort in ambiguity.<br \/>Nice to Have<br \/>Experience as an early hire at a consumer startup.<br \/>Experience with consumer products, marketplaces, or subscription businesses.<br \/>Experience with experimentation platforms (in-house or vendor: Statsig, Optimizely, etc.).<br \/>Familiarity with causal inference methods beyond A\/B tests (diff-in-diff, synthetic control, propensity matching, CUPED).<br \/>Experience with our stack: BigQuery, Amplitude, Metabase, Stripe, GCP.<br \/>Exposure to AI\/ML products or generative AI.<br \/>Comfort working across time zones with a globally distributed team.<br \/>Tech Stack You\u2019ll Work With<br \/>BigQuery, SQL, Python, Amplitude, Metabase, Stripe, GCP<\/p>\n<p>&nbsp;<\/p>\n<p>Compensation<br \/>Competitive base salary and bonus program<br \/>Equity \u2014 meaningful ownership in what you build<br \/>High autonomy, high growth environment<br \/>Work Setup<br \/>Bay Area preferred (hybrid allowed)<br \/>Visa sponsorship available<br \/>We\u2019ll consider remote for exceptional candidates<\/p>","protected":false},"author":10,"featured_media":0,"template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"pmpro_default_level":"","_promoted":"","_job_location":"California","_application":"https:\/\/www.indeed.com\/viewjob?jk=d36a2dd1be6d9d36&tk=1k4tc01lig8ra800&from=serp&vjs=3","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":"","_joinchat":[]},"job-types":[396],"class_list":{"0":"post-15026","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"pmpro-has-access","7":"job-type-visa-sponsorship"},"_links":{"self":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings\/15026","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/users\/10"}],"wp:attachment":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/media?parent=15026"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-types?post=15026"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}