3 Job Positions of Data Scientist Specialist Under Statute at RWANDA INFORMATION SOCIETY AUTHORITY (RISA): (Deadline 20 October 2022)

3 Job Positions of Data Scientist Specialist Under Statute at RWANDA INFORMATION SOCIETY AUTHORITY (RISA): (Deadline 20 October 2022)

3 Job Positions of Data Scientist Specialist Under Statute at RWANDA INFORMATION SOCIETY AUTHORITY (RISA): (Deadline 20 October 2022)

Job description

• Work with GoR’s sectors to identify opportunities for leveraging existing data to drive business solutions.
• Mine and analyze data from GoR’s registries to drive optimization and improvement.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques across the GoR.
• Formulate and lead guided analytic studies against large volumes of data across the GoR.
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Analyze data related problems and determine root causes.
• Works closely with Business Intelligence Infrastructure Specialists and Business Analysts to develop strategy for long term data platform architecture.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences

Minimum Qualifications

  • Bachelor’s Degree in Statistics

    3 Years of relevant experience

  • Master’s Degree in Statistics

    1 Year of relevant experience

  • Bachelor’s Degree in Applied Mathematics

    3 Years of relevant experience

  • Bachelor’s Degree in Information Management

    3 Years of relevant experience

  • Advanced diploma in Computer Science

    3 Years of relevant experience

  • Bachelor’s Degree in Computer Science

    3 Years of relevant experience

  • Master’s Degree in Computer Science

    1 Year of relevant experience

  • Master’s Degree in Data Sciences

    1 Year of relevant experience

  • Bachelor’s Degree in Data Sciences

    3 Years of relevant experience

  • Bachelor’s Degree in Information Systems

    3 Years of relevant experience

  • Master’s Degree in Information Systems

    1 Year of relevant experience

  • Bachelor’s Degree in Industrial Engineering

    3 Years of relevant experience

  • Master’s Degree in Information Management

    1 Year of relevant experience

  • Master’s Degree in Industrial Engineering with Technology

    1 Year of relevant experience

  • Advanced Diploma in Statistics

    3 Years of relevant experience

  • Data Sciences

    3 Years of relevant experience

  • Operations Research

    3 Years of relevant experience

  • Operations Research

    3 Years of relevant experience

  • Operations Research

    1 Year of relevant experience

  • Industrial Engineering

    3 Years of relevant experience

  • Applied Mathematics

    3 Years of relevant experience

  • Advanced diploma in information management

    3 Years of relevant experience

  • Advanced diploma in Information System

    3 Years of relevant experience

  • Advanced diploma in Data sciences

    3 Years of relevant experience

Competency and Key Technical Skills

  • N/A

  • Strong critical thinking skills and excellent problem solving skills.

  • Inclusiveness

  • Accountability

  • Communication

  • Teamwork

  • Client/citizen focus

  • Professionalism

  • Commitment to continuous learning

  • Resource management skills

  • Analytical skills

  • Problem solving skills

  • Decision making skills

  • Networking skills

  • Leadership skills

  • Mentoring and coaching skills

  • Time management skills

  • Risk management skills

  • Results oriented

  • Digital literacy skills

  • Fluency in Kinyarwanda, English and/ or French. Knowledge of all is an added advantage

  • Proficient with one or more programming languages (Java, C++, Python, R, etc.);

  • Experience in database interrogation and analysis tools, such as Hadoop, SQL and SAS Experience with NoSQL databases, such as MongoDB, Cassandra, and HBase;

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