23 June 2020
Data Scientist
Job Purpose
  • Data Scientist is responsible for the collection, cleaning and munging of data to meet the program’s purpose. Data scientist should utilize his analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Job Accountabilities
  • • Research and develop statistical learning models for data analysis.
    • Horizon scan to keep up-to-date with latest technology trends.
    • Communicate results and ideas to key decision makers.
    • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
    • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
    • Develop processes, data models, algorithms and tools to monitor and analyze model performance and data accuracy.
  • • Bachelor Degree in Computer Science, Statistics, Applied Mathematics or related field.
    • Master’s Degree in computer science is a plus.
Required Experience
  • • 4-7 years of practical experience with SAS, ETL, data processing, database programming and data analytics.
    • Able to understand various data structures and common methods in data transformation.
    • Excellent pattern recognition and predictive modeling skills.
    • Experience with programming languages such as Java/Python an asset.
    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Experience working with and creating data architectures.
Required Skills
  • • Strong problem solving skills.
    • Excellent written and verbal communication skills for coordinating across teams.
    • Interest in predicting trends and identifying patterns.
    • Innovative thinking.
    • Observation skills.
    • Critical thinking.
    • Planning, time management and organizational skills.
    • The ability to deliver under pressure and to tight deadlines.
    • Great attention to detail.
    • Teamwork skills and a collaborative approach.
    • Investigative skills.
    • Interest in statistics.
  • Smart Village
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