Data Scientist- iGaming Experience Bucharest

Data Scientist- iGaming Experience
Bucureşti
Bucharest, Bucharest, Romania

About the Role

We are seeking a highly motivated Data Scientist with extensive experience in i
Gaming Industry to join our team and drive
- driven
- 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
- 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
  - making processes.
•  Create and present
  - 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, Num
  Py) and machine learning frameworks (e. g. , Scikit-learn, Tensor
  Flow, Py
  Torch).
•  Strong knowledge of statistical methods, data modeling, and hypothesis testing.
• Experience working with
  - 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
  - solving and analytical skills with attention to detail.
•   Strong communication skills, with the ability to translate complex data findings into actionable insights for
  - technical stakeholders.
• Experience in the i
  Gaming 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.