About the Company
nove8 is a young tech company focused on mobile apps, from pet care to lifestyle. It builds products that help people live, work, and connect in meaningful ways.
Responsibilities
•Develop, validate, improve, and support core marketing prediction models, including long-term 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 other areas, including risk models
Requirements
•At least 2 years of experience as a Data Scientist, or demonstrated experience delivering an end-to-end analytical or predictive modeling project
•Strong SQL skills, including experience with Google BigQuery and/or PostgreSQL
•Strong Python skills for data analysis and modeling, with experience using libraries such as 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, with 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 working with large transaction-level and/or 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
•Long-term prediction, survival / hazard models, or 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
•Remote or Hybrid work. The choice is yours!
•Unlimited out-of-office days
•Wellness compensation
•Psychologist compensation
•Language course compensation
•Co-working compensation
•Health insurance
•100% Sick leave compensation
•Team buildings and offsites in Spain, Italy, Poland, Portugal, and other locations
•Merchandise
•Gifts for special occasions
