ABOUT US

We're an international product company in the gambling sector.

ZingBrain AI personalizes casino content in real time using advanced machine learning, helping operators boost player engagement, retention, and ultimately revenue.

Our mission is to empower gambling businesses worldwide by streamlining their operations and elevating the player experience with groundbreaking features.

WHO WE'RE LOOKING FOR

At Zingbrain, we build real-time personalization systems for iGaming platforms. Our models operate in production, influencing what each user sees — from game recommendations to sportsbook event suggestions — based on live behavioral, transactional, and contextual data.
We’re looking for a Senior Data Scientist to join our team and help us in the following areas:

Develop ML-driven features for casino games using supervised learning (regression, ranking, classification)
Maintain and enhance the existing recommendation systems in production, including:

Model enhancement using gradient boosting methods
Data cleaning and preprocessing
Pre- and post-processing workflows
Optimization of training and inference pipelines
Integration of ML models into Airflow pipelines in a multi-tenant environment
Adopt and configure the solution for different clients (tenants)

This is a hands-on role involving modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time environment.

AS A PART OF OUR TEAM YOU WILL

Collaborate with cross-functional teams of data scientists, engineers, product owners, designers, and researchers to ensure project success
Analyze large datasets to extract actionable insights that inform product decisions
Propose, implement, and evaluate machine learning approaches to solve business problems, work closely with Product Owner(s)
Maintain and adopt the current recommendation solution in multi-tenant environment
Influence product strategy through research and experimentation that deepens understanding of how product features, platforms, and promotions affect user behavior

WHAT WE EXPECT

Experience and education

5+ years of experience in data science
A degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)

Core skills

Proficiency in Python, SQL, and data manipulation tools (Pandas, Polars)
Strong engineering skills to design, build, and maintain scalable ML solutions, including implementing observability across pipelines through metrics, logging, and alerting.
Knowledge of Docker, Kubernetes.
Ability to structure and solve loosely defined problems, delivering actionable insights for product development; Strong analytical mindset with both numerical and business understanding
Hands-on experience with supervised ML techniques (regression and ranking using XGBoost, LightGBM, CatBoost, or neural networks), including feature engineering, model evaluation (AUC, NDCG, MSE, uplift metrics), and personalization or recommendation systems
Proven experience deploying ML models to production for near real-time or batch processing
Solid knowledge of statistical methods (A/B testing, significance testing, etc.)

Nice to have

Production experience with large-scale recommendation systems
Production experience with Airflow, Valkey/Redis, FastAPI
Familiarity with contextual bandits or reinforcement learning for online optimization is a plus
Familiarity with AutoML is a plus

OUR BENEFITS

Wellness program

Medical compensation
Paid sick leaves
Compensation for sports activities
Well-being webinars and workshops

Work & life balance

Wellness Day: 4th Friday off monthly
Remote work
21 working days of vacation
5 personal days per year

Professional development

English speaking club
Language learning bonus €150 per month
80% paid professional employee training
Provided tech equipment

Extra advantages

€150 for the arrangement of the workplace
Bonuses for significant events and additional personal days if necessary
Offline and online company parties and team buildings

WHY WORK WITH US?

Joining us means becoming a part of a company that prioritizes steady progress, efficiency and innovation. Our growth is consistent and thoughtful. We avoid sharp leaps in employee expansion, as we’re striving to ensure the correct establishment of processes and smooth development. This approach allows us to maintain a stable environment and makes our company a standout place to advance your career in the iGaming industry.

Aviatrix remote jobs

Senior Data Scientist