Data Scientist, Product
Almaty, KazakhstanFull-timePosted 1mo ago
About the role
Data Scientist focused on churn, retention, lifecycle propensity, uplift modelling, and LTV to drive per-user outcomes and monetization. Owns models and causal reads, experiments, and end-to-end deployment to inform pricing, offers, and retention strategies at Higgsfield AI.
Responsibilities
- Churn, retention & lifecycle propensity: Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers.
- Uplift modelling & offer targeting: Own incrementality on discounts, vouchers, trials, upgrade prompts, win-back campaigns, and retention; model uplift, design randomized holdouts, and ensure margin and abuse constraints.
- Lifetime value & payer economics: Own LTV by cohort, plan, segment, and acquisition discount; model refunds, chargebacks, refunds, downgrades, and compute usage; keep models current and versioned.
- Experimentation & causal measurement: Design and interpret experiments behind pricing, packaging, offers and lifecycle; use advanced causal methods and clearly state assumptions.
- How we ship: End-to-end ownership from framing decisions to monitoring and retraining; deploy scores and policy rules into lifecycle tooling; monitor drift and keep monetary value of models up to date.
Qualifications
- Experience shipping models that changed business impact on real users (targeted campaigns, pricing rules, retention programs).
- Depth in at least two areas: churn/propensity modelling, uplift & causal ML, LTV/subscription economics, or large-scale experimentation.
- Genuine causal literacy: randomized holdouts, incrementality, uplift curves, and understanding selection effects.
- Strong SQL and Python: cohort analysis, funnels, retention on raw event data; gradient boosting; feature pipelines; retraining cadence; scalable scoring jobs.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of credits, and revenue vs margin considerations.
- Commercial judgement: define decision and metric before modeling; recognize when a rule is preferable to a model.
- Pragmatism and product-focused mindset; clear written and spoken English (B2+).
Skills
Required:Churn modellingUplift modellingLifetime value (LTV) modellingExperimentation and causal inferenceSQLPython
Benefits
- Competitive base salary in USD
- Equity participation through stock options
- Relocation support to Almaty
- Collaborative, fast-paced environment with leadership access
- Professional growth and career development opportunities
- Company-provided equipment, meals, transportation, and office benefits
Last updated Oct 18, 2026. Interested? Apply on the company site.
About Higgsfield AI
Higgsfield AI — AI-native creative suite
Create images, videos, and voice content with Higgsfield AI from text prompts or references. Edit and upscale media, automate creative workflows with its AI agent, and generate content on web and mobile.
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