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At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge

Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house ;

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• Design and develop predictive models that will be used to forecast future trends and predict business
  
• Analyze data and identify patterns and trends that can be used to improve business
  
• Work with business stakeholders to understand their needs and objectives, and translate them into meaningful analytical
  
• Lead a team of data scientists, analysts, and other professionals to build and implement predictive analytics
  
• Monitor and analyze the performance of predictive models and make recommendations for
  
• Develop and maintain documentation on model development, validation, and performance
  
• Collaborate with IT and other departments to ensure that data sources are accurate, reliable, and
  
• Stay up-to-date with emerging trends and technologies in predictive
  
• Present findings and recommendations to senior management and other
  
• Ensure that all predictive analytics activities are aligned with the organizations strategic objectives and
  

Requirements

• Strong analytical and problem-solving skills: The predictive analytics lead must be able to gather, analyze, and interpret complex data to identify patterns and
  
• Statistical modeling expertise: The ability to develop and implement statistical models is crucial for predicting future trends and
  
• Technical skills: The predictive analytics lead should have a strong understanding of data mining, machine learning, and programming languages such as Python or
  
• Communication and collaboration: The ability to communicate complex analytical findings to both technical and non-technical stakeholders is The predictive analytics lead must also work collaboratively with other team members to understand business needs and
  
• Industry knowledge: Knowledge of the industry and specific domain in which the predictive analytics lead operates is essential for understanding market trends, regulations, and competitive
  
• Creativity and innovation: To stay ahead of the competition, the predictive analytics lead should have a creative and innovative mindset to identify new opportunities and develop new
  
• Attention to detail: Accuracy and attention to detail are critical in analyzing and interpreting data, and in ensuring that models are effective and
  
• Business acumen: A good understanding of the organization s goals and objectives, as well as the ability to align analytics strategies with these goals, is necessary for success as a predictive analytics
  
  

Benefits

Extreme learning and training

Continuous growth every 3 months financially & in

Compensation based on contribution

Problem-solving aptitude Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

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