![Deltatech Gaming Limited](https://media.trabajo.org/img/noimg.jpg)
Senior Data Scientist
7 days ago
Key Responsibilities:
- Data Analysis: Collect, process, and analyze large datasets to identify trends, patterns, and insights.
- Model Development: Develop, implement, and maintain predictive models and algorithms to solve business problems.
- Statistical Analysis: Apply statistical techniques to validate models and interpret results.
- Data Visualization: Create visualizations and dashboards to communicate findings to stakeholders clearly and effectively.
- Experimentation: Design and conduct experiments to test hypotheses and validate data models.
- Collaboration: Work closely with cross-functional teams, including engineers, product managers, and marketing analysts, to un
- Reporting: Prepare and present detailed reports to management, outlining key insights and recommendations.
- Identify Trends: Identify business trends and shifts and recommend data-driven responses and recommendations.
- Data Collection and Analysis: Gathering data from various sources such as player interactions, in-game events, and external factors to analyze and derive insights.
- Player Behavior Analysis: Understanding and predicting player behavior to enhance game design and personalize player experiences.
- Monetization Strategies: Analyzing player spending patterns to develop effective monetization strategies, including in-game purchases and subscriptions.
- Experimentation and Testing: Designing and conducting experiments to test new game features, updates, and marketing strategies, ensuring they enhance player experience
- Fraud Detection and Prevention: Identifying and mitigating fraudulent activities within the game to ensure a fair and secure gaming environment.
- Predictive Analytics: Building predictive models to forecast player churn, lifetime value, and other key metrics to inform strategic decisions.
REQUIRED SKILLS & QUALIFICATIONS:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 3+ years of experience in data science or a related field.
- Knowledge of analytics language Python is a must
- Experience with machine learning frameworks and libraries
- Knowledge of statistical analysis and modeling techniques
- Experience with data visualization tools
- Excellent analytical and problem-solving skills.
- Understanding of business intelligence and data warehousing concepts.
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