Data Scientist

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

Benefits offered by this job

Remote or Hybrid work

Wellness compensation

Health insurance

Team offsites

Merch

Language courses compensation

Job summary

nove8 is seeking a Data Scientist to join our analytics-focused team. You will work with marketing, product, subscription, and financial data to build predictive models for long-term metrics such as LTV, revenue, and retention.

You’ll handle large transaction and event data, validate models, monitor performance, and translate insights into business actions to improve forecasting and decision making. Remote or hybrid options are available in a fast-growing tech company.

Qualifications

• 2+ years of experience as a Data Scientist or equivalent end-to-end analytics project.
• Strong SQL skills with practical experience in BigQuery and/or PostgreSQL.
• Proficient Python for data analysis and modeling using common libraries.

Responsibilities

• Develop, validate, improve, and support core marketing prediction models (LTV, revenue, retention).
• Design time-based validation and backtesting approaches.
• Work with incomplete/cohort data and account for cohort maturity in modeling.
• Investigate data quality issues and validate data semantics.
• Monitor model performance and diagnose prediction errors.
• Build/maintain datasets and features; support A/B test analysis.
• Move models from research to production calculations; expand to risk models.

Skills

SQL (BigQuery/PostgreSQL)

Python for data analysis

Statistics & inference

Model validation

Cohort analysis

LTV/ROI concepts

Data modeling

Survival analysis

Experimentation & A/B testing

Tools

dbt/Dataform

Airflow

Tableau

Amplitude

AppsFlyer

Meta Ads

Google Ads

Job description

About Us

nove8is a young tech company focused on mobile apps, from pet care to lifestyle. We build products that help people live, work, and connect in meaningful ways. Today, we explore new directions, experiment, and create meaningful digital experiences for people around the world. We care about what we build and how we build it, value fairness and trust, and believe that teamwork and curiosity help us move forward together.

About the Role

We are looking for a Data Scientist with a strong analytical background to work with marketing, product, subscription, and financial data. The role combines data analysis, statistics, and predictive modeling, with a strong focus on long-term marketing metrics and LTV prediction. You will work with large-scale transactional and event-level datasets, develop and support predictive models, investigate data quality and behavioral patterns, and help the business forecast and understand key metrics such as LTV, revenue, retention, CAC, ROI/ROMI, and payback.

What We’re Looking For

• 2+ years of experience as a Data Scientist, 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

What You’ll Do

• 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

Nice to have

• Experience with subscription-based products, recurring billing, and payment data
• Experience with 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

Recruitment process

HR interview - Interview - Team fit interview - Offer

Our Benefits

• Time-off Policy - unlimited Out of office days
• Remote or Hybrid work. The choice is yours!
• Wellness compensations
• Psychologists compensation
• Language courses compensation
• Co-working compensation
• Health insurance
• 100% Sick Leave Compensation
• Team buildings and offsites (Spain, Italy, Poland, Portugal and others)
• Merch
• Special Occasions Presents

Take a look at our Instagram to get a feel for our team and culture