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Senior Data Scientist

3 weeks, 4 days ago
Poland
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow CatBoost Docker FastAPI Feature Engineering Kubernetes LightGBM Machine Learning Neural Networks Pandas Python Redis Reinforcement Learning SQL XGBoost
Apply Now
Aviatrix

Aviatrix

Aviatrix specializes in providing advanced cloud network security solutions through its Cloud Native Security Fabric, which is trusted by over 500 enterprises globally to ensure secure and high-performance networking for various workloads and industries.

Internet Software & Services
251-1K
Founded 2021
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Description

  • Develop supervised machine learning features for casino games, including regression, ranking, and classification models.
  • Maintain and enhance production recommendation systems using gradient boosting and other modeling methods.
  • Clean and preprocess data and manage model pre-processing and post-processing workflows.
  • Optimize model training and inference pipelines for high-load, real-time environments.
  • Integrate machine learning models into Airflow pipelines within a multi-tenant environment.
  • Adapt and configure recommendation solutions for different clients and tenants.
  • Analyze large datasets to generate actionable product insights.
  • Design, implement, and evaluate machine learning approaches in collaboration with product owners and engineering teams.
  • Conduct research and experimentation to understand how product features, platforms, and promotions influence user behavior.
  • Collaborate with data scientists, engineers, product owners, designers, and researchers.️

Requirements

  • 5+ years of experience in data science.
  • Degree in Mathematics, Statistics, Computer Science, or another quantitative field.
  • Proficiency in Python, SQL, Pandas, and Polars.
  • Experience designing, building, and maintaining scalable machine learning solutions with pipeline metrics, logging, and alerting.
  • Knowledge of Docker and Kubernetes.
  • Hands-on experience with supervised machine learning, including regression, ranking, feature engineering, and model evaluation using metrics such as AUC, NDCG, MSE, and uplift metrics.
  • Experience with XGBoost, LightGBM, CatBoost, or neural networks.
  • Experience deploying machine learning models to production for near-real-time or batch processing.
  • Knowledge of statistical methods including A/B testing and significance testing.
  • Experience with large-scale recommendation systems, Airflow, Valkey/Redis, or FastAPI; familiarity with contextual bandits, reinforcement learning, or AutoML is preferred.

Benefits

  • Medical compensation and paid sick leave.
  • Compensation for sports activities plus wellness webinars and workshops.
  • Remote work, 21 working days of vacation, five personal days per year, and a monthly Wellness Day.
  • English speaking club and €150 monthly language-learning bonus.
  • 80% coverage of professional training and provided technical equipment.
  • €150 workplace setup allowance.
  • Bonuses for significant events, additional personal days when needed, and company parties and team-building activities.

Interested in this position?

Apply directly on the company website

Apply Now

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