Data Scientist

Job Summary:

We are looking for a talented and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data analysis statistical modeling machine learning and programming. You will work closely with stakeholders to analyze large datasets extract valuable insights and develop datadriven solutions that drive business growth and innovation.

Key Responsibilities:

• Data Analysis: Analyze large complex datasets using statistical methods and machines learning techniques to extract meaningful patterns and insights.
  
• Model Development: Develop predictive models and algorithms to solve business problems and improve decisionmaking processes.
  
• Machine Learning: Apply machine learning techniques such as classification regression clustering and deep learning to solve realworld problems.
  
• Data Visualization: Create visualizations and dashboards to communicate findings and insights to stakeholders effectively.
  
• Feature Engineering: Perform feature engineering and selection to enhance model performance and accuracy.
  
• Collaboration: Collaborate with crossfunctional teams including data engineers business analysts and IT teams to implement datadriven solutions.
  
• Experimentation and Testing: Design and conduct experiments to validate hypotheses and improve model performance.
  
• Documentation: Document methodologies findings and insights. Prepare technical reports and presentations for stakeholders.
  
• Continuous Learning: Stay updated with the latest developments in data science machine learning and AI technologies. Apply new techniques to enhance existing models and solutions.
  

PSYCHOMETRIC ASSESSMENTS.

Requirements

Required Qualifications & Experience:

• Education: Bachelor s degree or higher in Computer Science Statistics Mathematics Data Science or a related field.
  
• Experience: 46 years of experience in a data science role with handson experience in data analysis statistical modeling and machine learning.
  

Technical Skills:

• Proficiency in programming languages such as Python R or Scala.
  
• Experience with data manipulation and analysis libraries (e.g. pandas NumPy scikitlearn).
  
• Strong knowledge of statistical techniques and machine learning algorithms.
  
• Familiarity with big data technologies (e.g. Hadoop Spark) and cloud platforms (e.g. AWS Azure Google Cloud).
  
• Experience with data visualization tools (e.g. Tableau Power BI) is a plus.
  

• Strong analytical and problemsolving skills with the ability to work with complex unstructured datasets.
  

• Excellent written and verbal communication skills with the ability to present technical concepts to nontechnical stakeholders.
  

• Master s or PhD in Data Science Computer Science Statistics or a related field.
  
• Experience in industries such as finance healthcare ecommerce or telecommunications.
  
• Certification in data science or machine learning (e.g. Certified Analytics Professional AWS Certified Machine Learning Specialist).
  
• Experience with natural language processing (NLP) computer vision or reinforcement learning.