Employee Relations Specialist

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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• Develop and implement predictive models to support business decision-making.
  
• Collaborate with stakeholders to identify business needs and determine key performance indicators.
  
• Collect and analyze data from various sources to build predictive models.
  
• Develop statistical models, algorithms, and machine learning models to predict future outcomes.
  
• Conduct exploratory data analysis and data cleaning to prepare data for modeling.
  
• Evaluate model performance and make improvements to increase accuracy and reliability.
  
• Interpret and communicate findings from predictive models to business stakeholders.
  
• Work with cross-functional teams to integrate predictive models into business processes and systems.
  
• Keep up-to-date with industry trends and advancements in predictive analytics techniques.
  
• Ensure compliance with regulatory and ethical standards for predictive analytics and data privacy.
  

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Requirements

• Bachelors or Masters degree in Statistics, Mathematics, Computer Science, or a related field.
  
• 1+ years of experience in predictive analytics or data modeling.
  
• Strong knowledge of statistical modeling techniques and machine learning algorithms.
  
• Proficiency in programming languages such as Python, R, and SQL.
  
• Experience with data visualization tools such as Tableau or Power BI.
  
• Excellent communication and presentation skills to convey complex information to stakeholders.
  
• Strong problem-solving skills and ability to work in a fast-paced environment.
  
• Knowledge of industry-specific regulations and ethical standards related to predictive analytics and data privacy.
  

Benefits

Extreme Learning and training environment.

Continuous growth every 3 months financially & in Responsibilities.

Compensation based on contribution value.