School Counsellor

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 ;

Send you CV to (WhatsApp)

(or)

Send you CV to

• Gathering and analyzing data: A Predictive Modeling Analyst must collect and organize data from various sources, including internal and external databases, surveys, and customer
  
• Creating models: The analyst uses statistical methods and machine learning algorithms to create models that can accurately predict future trends, patterns, and
  
• Testing models: Once a model is created, the analyst must test it to ensure its accuracy and They may use simulations, split-sample tests, or cross-validation techniques to validate their models
  
• Providing insights and recommendations: The analyst must interpret the results of their models and provide insights and recommendations to stakeholders, such as executives, managers, and other
  
• Continuous monitoring and improvement: Predictive modeling is an ongoing process, and the analyst must continuously monitor and update their models to ensure they remain accurate and
  
• Collaboration with other teams: The analyst must work closely with other teams, such as data scientists, software developers, and business analysts, to ensure that their models are integrated into the organizations systems and
  

Requirements

• Statistical analysis: A predictive modeling analyst must have a strong foundation in statistics and be able to apply statistical techniques to solve complex
  

• Programming: Knowledge of programming languages such as R, Python, or SAS is essential for building and deploying predictive
  

• Data manipulation: The ability to extract, clean, and manipulate data is critical in predictive A predictive modeling analyst must be able to work with large, complex datasets to derive meaningful
  

• Machine learning: A strong understanding of machine learning algorithms, such as regression, decision trees, and neural networks, is essential for building predictive
  

• Data visualization: A predictive modeling analyst must be able to communicate complex data in a clear and concise Knowledge of data visualization tools such as Tableau, Power BI, or Excel is
  

• Problem-solving: A predictive modeling analyst must be able to identify and solve problems in a fast-paced They must be able to work independently and in a team
  

• Communication: The ability to communicate technical concepts to non-technical stakeholders is A predictive modeling analyst must be able to explain complex models and insights to business leaders in a clear and concise
  

• Business acumen: A predictive modeling analyst must have a good understanding of business processes and goals to build predictive models that are relevant and They must be able to align their models with the business
  
  

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

---