ArtWorkout is a mobile app that teaches users how to draw in a fun, gamified way. With over 1 million monthly active users, 2000+ lessons, and a hybrid monetization model (subscription + ads), we’re scaling quickly. We recently launched on Android and are expanding our team.
What We’re Looking For
We’re hiring a senior 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.
Your Responsibilities
- 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 instrumentation
- Collaborate with the founder, product engineers, and designers to turn insights into decisions
What We Expect
- 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)
Bonus Points
- 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
What We Offer
- A fast-growing product with real traction: 1M+ MAU, growing revenue, short decision cycles
- Small team – fast feedback loops and high ownership
- Direct line to the founder, who is technical and loves analytics and math
- Fully remote & async culture with flexible hours
- Competitive compensation in USD
- Opportunity to truly shape the product, not just support decisions
Hiring Process
- Screening form with product-specific tasks
- Technical interview: SQL, Python, A/B methodology
3000-6000$ per month
experience 3-5 years
Telegram: @gladluda