Data Scientist/Analyst

November 7, 2026

Remote

Middle

Description

A young tech company building mobile apps across pet care and lifestyle is hiring a full-time remote Data Scientist/Analyst. The role combines data analysis, statistics, and predictive modeling with a strong focus on long-term marketing metrics and LTV prediction. The specialist will work with large-scale transactional and event-level datasets and help the business forecast LTV, revenue, retention, CAC, ROI/ROMI, and payback.

Responsibilities

Develop, validate, improve and support core marketing prediction models including LTV, revenue and retention prediction
Design and maintain robust time-based validation and backtesting approaches
Work with incomplete and censored cohort data and account for cohort maturity in modeling
Investigate transactional and event-level data, validate data semantics and identify data quality issues
Monitor model performance, diagnose prediction errors and continuously improve model quality
Build and maintain datasets and features, and support A/B test analysis and statistical interpretation
Bring models from research to scheduled production calculations and gradually expand modeling to risk models

Requirements

2+ years of experience as a Data Scientist or Data Analyst, or a demonstrated end-to-end analytical or predictive modeling project
Strong knowledge of SQL, including Google BigQuery and/or PostgreSQL
Strong knowledge of Python for data analysis and modeling with pandas, NumPy, SciPy, scikit-learn or statsmodels
Strong understanding of mathematics, probability, statistics, statistical inference and hypothesis testing
Understanding of classical statistical and machine learning approaches and experience building predictive models
Strong understanding of model validation including time-based validation, backtesting, data leakage, overfitting and model stability
Understanding of censored and incomplete data, cohort maturity and basic survival analysis concepts
Understanding of subscription economics and key marketing metrics such as LTV, CAC, ROI/ROMI, payback, retention and conversion rate
Experience with large transaction-level and event-level datasets, investigating inconsistencies and biases and translating analytical results into business conclusions
Nice to have: experience with subscription-based products, recurring billing and payment data
Experience with long-term prediction, survival or hazard models and other time-dependent modeling approaches
Experience with Stripe, PayPal or similar payment providers
Experience with dbt / Dataform, Airflow, Tableau, Amplitude, AppsFlyer, Meta Ads or Google Ads
Familiarity with production ML workflows, model monitoring, retraining and common classical ML models

Conditions

Time-off policy – unlimited out of office days
Remote or hybrid work – the choice is yours
Company compensates wellness expenses
Company compensates psychologist sessions
Company compensates language courses
Company compensates co-working costs
Health insurance provided
100% sick leave compensation
Team buildings and offsites in Spain, Italy, Poland and Portugal
Company merch for employees
Presents for special occasions

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