Fit4Me is looking for a Data Scientist who will help the Analytics team turn data into precise forecasts that drive business decisions. You will own the development of LTV and churn models, fraud and anomaly detection in payment data, and the translation of statistical results into recommendations for the Head of Analytics and the product team.
You will work with data end-to-end — from hypothesis to model in production. Final prioritization decisions sit with the Head of Analytics, but your models form the foundation for ROAS optimization and business forecasting.
Impact Areas:
Build and maintain ML models (T+72h, T+7d) — from methodology design to production.
Drive feature engineering based on GBQ, Amplitude, payment, and marketing data.
Develop fraud / anomaly detection models for payment flows.
Design and run statistical analysis of A/B tests — from hypothesis to interpretation.
Build and monitor ML pipelines in a production environment.
Document methodology for non-technical stakeholders.
Partner closely with the Head of Analytics, analysts, and the product team.
What we expect from you:
5+ years of commercial experience in Data Science / ML analytics.
Strong command of Python (pandas, scikit-learn, statsmodels).
Advanced SQL and hands-on experience with BigQuery.
Experience building predictive models (LTV, churn, fraud) shipped to production.
Solid statistical foundation: A/B testing, power analysis, statistics.
Experience working with event-based data (Amplitude or similar).
Confident with Git.
Understanding of ML pipelines and MLOps practices.
Upper-Intermediate (B2) English or above, for working with documentation.
Nice to have:
Experience in subscription / mobile app businesses.
Experience with fitness products.
Fraud detection in payment systems (Stripe, Adyen).
Familiarity with Tableau or other BI tools.
Experience with DBT.
This role is a great fit if you:
Have hands-on experience building a predictive LTV or revenue-forecasting model shipped to production with minimal error — this is a decisive factor for us.
Want to independently form hypotheses, choose the methodology, and own a model from design through production.
Can explain complex models to non-technical stakeholders in a way that drives business decisions.
Focus on business outcomes, not just technical elegance.
Are ready for regular syncs with the Head of Analytics and working at a fast growth pace.
Hiring process: Recruiter Interview → Hiring Manager Interview → Test Task (baseline predictive model on an anonymized dataset) → Analytics Review → Final Interview with HRD → Job Offer 🚀
About Fit4Me
Fit4Me is a Ukrainian product startup founded in 2023, creating a personalized Health & Fitness products for a global audience. Our app combines and adapts multiple fitness directions to individual user needs. We are profitable and operate with a fully remote team of 50+ specialists worldwide.
Our mission — Fit your dream. We believe a healthy lifestyle should feel easy and enjoyable, so we focus on helping users build sustainable habits through positive, motivating experiences.
Our principles
🚀 Startup speed — we test ideas in days, not months. 💪 Performance first — measurable results matter more than perfect plans. 🎯 Fast decision-making — direct access to C-level and product leadership. 🗣 Autonomy equals responsibility — freedom without micromanagement. 🏆 Real impact — your work helps people change their lives for the better.
Fit4Me is for those who:
Want to build products that genuinely change people’s lives.
Value speed, autonomy, and direct communication.
Are ready to take ownership and act proactively.
Want to work in an environment of driven people where everyone strengthens the product and the team.
What we offer
🔝 Fast learning as part of our DNA — monthly internal workshops (from hard skills to life hacks), sessions with team leads and external experts, plus a learning budget for courses and conferen
