Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой
подготовься к отклику
ai-инструменты
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
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.
*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ
задачи
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
требования
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
Будет плюсом: experience with subscription-based products, recurring billing, and payment data; long-term prediction, survival / hazard models, or other time-dependent modeling approaches; Stripe, PayPal, or similar payment providers; dbt / Dataform, Airflow, Tableau, Amplitude, AppsFlyer, Meta Ads, or Google Ads; familiarity with production ML workflows, model monitoring, retraining, and common classical ML models
условия
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
