DATA SCIENCE

Full time

• Identify, analyze, and interpret trends or patterns in complex data sets.
• Mine and analyze data from company databases to drive optimization and improvement business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.
• Review, monitor and evaluate various company databases based on data analysis.
• Working with team and leaders to identify improvement opportunities.

Requirements:

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related field.
• Minimum 1 year of working experience as Data Analyst role.
• Extensive experience with data analysis and machine learning tools (e.g., SQL, R, Python).
• Deep understanding of statistical analysis, machine learning, and predictive modeling.
• Proven expertise in developing and deploying predictive models using techniques such as regression analysis, time series forecasting, and neural networks.
• Proficiency in data visualization tools (e.g., Tableau, Power BI). Familiarity with big data technologies.