Data Scientist- Online Gaming Experience

Splash Software; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading software company in Dubai is seeking a highly motivated Data Scientist to drive data-driven decision-making in the Online Gaming Industry. The ideal candidate will possess strong analytical skills, a Masters degree in Mathematics or Statistics, and proven experience in building machine learning models. Responsibilities include designing predictive models, analyzing datasets, and collaborating with teams to optimize business outcomes.

Qualifications

• Proven experience as a Senior Data Scientist, with expertise in building and deploying machine learning models.
• Strong knowledge of statistical methods, data modeling, and hypothesis testing.
• Experience in the Online Gaming Industry is a Must.

Responsibilities

• Design and implement machine learning models to predict trends and detect anomalies.
• Analyze structured and unstructured datasets to identify patterns.
• Collaborate with data engineers and analysts to ensure data readiness.
• Create and present data-driven insights and recommendations.

Skills

Machine learning expertise

Data analysis

Statistical methods

Problem-solving skills

Communication skills

Education

Masters degree in Mathematics or Statistics

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Elasticsearch

SQL

Kibana

Tableau

Matplotlib

Job description

About the Role

We are seeking a highly motivated Data Scientist with extensive experience in Online Gaming 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 Online 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 Elasticsearchs machine learning capabilities is a plus.