At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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- collect, clean, and preprocess large datasets from various sources to develop predictive models.
- Analyze and interpret data to identify patterns, relationships, and trends.
- Select appropriate algorithms, techniques, and tools to build predictive models that meet business needs.
- Build, validate, and test predictive models to ensure accuracy and reliability.
- Collaborate with cross-functional teams to integrate models into business processes and decision-making.
- Develop and maintain documentation of the modeling process, assumptions, and limitations.
- Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.
- Develop data visualizations and reports to communicate results to stakeholders.
- Keep up-to-date with industry trends and advancements in predictive analytics techniques.
- Ensure compliance with regulatory and ethical standards for modeling and data privacy.
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Requirements
- Bachelors or Masters degree in Mathematics, Statistics, Computer Science, or a related field.
- 1+ years of experience in predictive analytics, with a proven track record of designing and implementing successful models.
- Strong analytical and problem-solving skills.
- Proficiency in statistical analysis software and programming languages such as R or Python.
- Experience with machine learning algorithms, decision trees, neural networks, and time series analysis.
- Excellent communication and presentation skills to convey complex information to stakeholders.
- Ability to work in a fast-paced environment and handle multiple projects simultaneously.
- Knowledge of industry-specific regulations and ethical standards related to modeling and data privacy.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Predictive Analytics, Manager, Statistics, Mathematics, Statistical Techniques, Modeling Software, SAS, R, Python, Data Analysis, Communication, Collaboration, Attention to Detail, Creativity, Innovation, Adaptability, Flexibility, Work Ethic, Time-Management, Validation, Testing, Leadership, Project Management, Resource Management, Mentorship, Training.