ArtWorkout is a mobile app that teaches users pencil drawing and helps to build creativity with fun. With over 1 million monthly active users, 2000+ lessons, and a hybrid monetization model (subscription + ads), we’re scaling quickly. Having our first product historically on iOS, we recently launched on Android and are expanding our team. We ship fast, measure everything, and keep quality high with automation.

We’re hiring a Senior Product Data Scientist with deep expertise in experimentation and growth analytics to help us scale the product, run experiments, and support high-impact decisions with data. This role is perfect for someone who combines statistical rigor with strong product intuition.

What you’ll do:

👉Design, run, and stop A/B tests (including Bayesian) using GrowthBook

👉Define and maintain product and growth metrics (NSM, activation, retention, ARPPU, etc.)

👉Build auto-updating dashboards in Redash, systematize KPIs, and establish a single source of truth

👉Analyze funnels and retention, and support optimization of onboarding, paywalls, and content

👉Validate event schemas, check data integrity, and support analytics instrumentationCollaborate with the founder, product engineers, and designers to turn insights into decisions

Must-haves:

👉3–5+ years in product analytics or growth data science roles

👉Deep knowledge of experimentation frameworks: Bayesian/Frequentist, CUPED, sequential testing

👉Strong SQL (ClickHouse / BigQuery), Python (pandas, scipy — PyMC/Stan is a plus)

👉Ability to translate metrics into product recommendations and business impact

👉Experience building dashboards in Redash, Looker, Metabase, etc.

👉English: B2 level or higher (documentation, data discussions, async communication)

Nice-to-haves:

👉Worked on scaling B2C mobile products (preferably in edtech or mobile gaming)

👉Hands-on with causal inference or uplift modeling

👉Familiarity with pricing/paywall testing and retention optimization

Why join us: