Data Scientist (Marketing)

Location: Remote or hybrid; the choice is yours. Team buildings and offsites may take place in Spain, Italy, Poland, Portugal, and other locations.

Company

hirify.global creates digital experiences and works with marketing, product, subscription, and financial data.

What you will do

• Develop, validate, improve, and support marketing prediction models for long-term LTV, revenue, and retention.
• Design and maintain time-based validation and backtesting approaches.
• Analyze incomplete and censored cohort data while accounting for cohort maturity.
• Investigate transactional and event-level data, validate data semantics, and identify quality issues, inconsistencies, and biases.
• Monitor model performance, diagnose prediction errors, and improve model quality.
• Build datasets and features, support A/B test analysis, and move models from research into scheduled production calculations.

Requirements

• 2+ years of experience as a Data Analyst, Product Analyst, Marketing Analyst, or Data Scientist, or demonstrated experience delivering an end-to-end analytical or predictive modeling project.
• Strong SQL skills, including Google BigQuery and/or PostgreSQL, and strong Python skills for data analysis and modeling.
• Knowledge of pandas, NumPy, SciPy, scikit-learn, or statsmodels.
• Strong understanding of mathematics, probability, statistics, statistical inference, hypothesis testing, and classical machine learning.
• Experience with model validation, time-based validation, backtesting, data leakage, overfitting, and model stability.
• Understanding of subscription economics and metrics including LTV, CAC, ROI/ROMI, payback, retention, and conversion rate.

Nice to have

• Experience with subscription products, recurring billing, payment data, Stripe, PayPal, or similar providers.
• Experience with long-term prediction, survival or hazard models, and other time-dependent modeling approaches.
• Experience with dbt, Dataform, Airflow, Tableau, Amplitude, AppsFlyer, Meta Ads, or Google Ads.
• Familiarity with production ML workflows, model monitoring, retraining, and classical ML models.

Culture & Benefits

• Remote or hybrid work options.
• Unlimited out-of-office days and 100% sick leave compensation.
• Health insurance, wellness compensation, and psychologist compensation.
• Language course and co-working compensation.
• Team buildings and offsites in Spain, Italy, Poland, Portugal, and other locations.
• Merchandise and special occasion presents.