Remote Data Scientist – LTV & Growth Analytics

nove8; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited time off

Remote or Hybrid work

Wellness compensation

Psychologists compensation

Language courses compensation

Co-working compensation

Health insurance

Sick leave compensation

Team buildings abroad

Merch

Occasions presents

Job summary

nove8 is a young tech company building mobile apps from pet care to lifestyle, delivering meaningful digital experiences worldwide. We seek a Data Scientist/Analyst to analyze marketing, product, subscription, and financial data, focusing on long-term metrics like LTV, revenue, retention, CAC, ROI/ROMI, and payback.

You will work with large transaction-level datasets, develop predictive models, investigate data quality, and help forecast key metrics for the business.

Qualifications

• 2+ years of experience as a Data Scientist or Data Analyst, or demonstrated experience delivering an end-to-end analytical or predictive modeling project.
• Strong knowledge of SQL, including experience with Google BigQuery and/or PostgreSQL
• Strong knowledge of Python 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 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 working with large transaction-level and/ or event-level datasets, investigating inconsistencies and biases, and translating analytical results into business conclusions

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

Skills

SQL

BigQuery

PostgreSQL

Python

pandas

NumPy

SciPy

scikit-learn

Statistics

Hypothesis testing

Time-series modeling

Survival analysis

LTV analytics

Tools

dbt

Dataform

Airflow

Tableau

Amplitude

AppsFlyer

Meta Ads

Google Ads

Job description

nove8 is a young tech company building mobile apps from pet care to lifestyle, delivering meaningful digital experiences worldwide. We seek a Data Scientist/Analyst to analyze marketing, product, subscription, and financial data, focusing on long-term metrics like LTV, revenue, retention, CAC, ROI/ROMI, and payback.

You will work with large transaction-level datasets, develop predictive models, investigate data quality, and help forecast key metrics for the business.