Required Technical Skills:

• Excellent written and verbal communication skills in English
• Strong presentation and stakeholder communication capabilities
• Expert proficiency in analytics languages such as Python (preferred), R, or MATLAB
• Experience with Big Data technologies, particularly Spark
• Advanced quantitative analysis skills, including:
  • Model interpretation
  • Causal analysis
  • Multicollinearity treatment
• Ability to work with compiled, high-performance languages (e.g., Scala, Java, C++)
• Experience with relational databases
• Strong theoretical and practical background in modeling techniques, including:
  • Machine Learning
  • Graph and Network Analytics
• Experience with data preprocessing and exploratory data analysis
• Foundational understanding of data architecture, data warehouses, and data marts
• Demonstrated curiosity, adaptability, and commitment to continuous learning and knowledge sharing

Preferred Qualifications

• Experience working in Linux-based environments
• Knowledge of additional analytical techniques, such as text analysis and text mining

Education & Experience

• Bachelor’s degree (or equivalent experience) in Computer Science, Mathematics, Statistics, Physics, Operations Research, or a related quantitative field

Experience Guidelines

• PhD: 3+ years of relevant experience
• Master’s: 6+ years of relevant experience
• Bachelor’s: 8+ years of relevant experience.