Data Scientist- iGaming Experience

13 hours ago

Bucharest, Bucureşti, Romania Splash Software Full time 90,000 - 120,000 per year

About the Role

We are seeking a highly motivated Data Scientist with extensive experience in iGaming Industry to join our team and drive data-driven decision-making through advanced analytics and machine learning models. The ideal candidate will have a strong technical background, a passion for uncovering insights from complex datasets, and the ability to collaborate with cross-functional teams to solve business challenges.

Key Responsibilities

  • Design and implement machine learning models to predict trends, detect anomalies, and uncover actionable insights.
  • Analyze structured and unstructured datasets to identify patterns and opportunities for optimization.
  • Develop predictive models and algorithms for key business use cases, such as risk management, forecasting, and segmentation.
  •  Collaborate with data engineers and analysts to ensure data readiness for analysis and model deployment.
  •  Use statistical techniques to validate hypotheses, assess model performance, and improve decision-making processes.
  •  Create and present data-driven insights and recommendations to stakeholders in a clear and compelling manner.
  •  Deploy, monitor, and refine models in production environments to ensure scalability and reliability.
  •  Stay updated on the latest advancements in data science and machine learning, incorporating best practices into projects.

Qualifications

  • Masters degree in Mathematics or Statistics.
  • Proven experience as a Senior Data Scientist, with expertise in building and deploying machine learning models.
  • Proficiency in Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  •  Strong knowledge of statistical methods, data modeling, and hypothesis testing.
  • Experience working with large-scale data in environments such as Elasticsearch or SQL databases.
  • Familiarity with data visualization tools (e.g., Kibana, Tableau, or Matplotlib) for presenting insights.
  •  Excellent problem-solving and analytical skills with attention to detail.
  •   Strong communication skills, with the ability to translate complex data findings into actionable insights for non-technical stakeholders.
  • Experience in the iGaming Industry is a Must.

Preferred Skills

  • Hands-on experience with anomaly detection and forecasting models.
  • Knowledge of big data tools and frameworks (e.g., Hadoop, Spark).
  •   Familiarity with MLOps practices and tools for deploying and managing machine learning models in production.
  •  Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows.
  •  Understanding of Elastic search machine learning capabilities is a plus.

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