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 data-driven 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 decision-making processes.
• Machine Learning: Apply machine learning techniques, such as classification, regression, clustering, and deep learning, to solve real-world 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 cross-functional teams, including data engineers, business analysts, and IT teams, to implement data-driven 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.
  
  

KINDLY TAKE NOTE THAT THE RECRUITMENT AND SELECTION PROCESS

WILL INVOLVE

PSYCHOMETRIC ASSESSMENTS.

Requirements

Required Qualifications & Experience:

• Education: Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Experience: 4-6 years of experience in a data science role, with hands-on 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, scikit-learn).
• 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.
  
  

Analytical Skills:

• Strong analytical and problem-solving skills, with the ability to work with complex, unstructured datasets.
  
  

Communication Skills:

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

Preferred Qualifications & Experience:

• Master’s or PhD in Data Science, Computer Science, Statistics, or a related field.
• Experience in industries such as finance, healthcare, e-commerce, 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.