Channels / CY iT HR
CY iT HR
@cyprusithr · supergroup
· filtered by
Larisa Zimin
Larisa Zimin
2025-06-15 10:34 UTC
#vacancy #remote #analytic 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
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
1 message on this day