Associate Data Scientist
Job Description
As a key member of the team, you pride yourself in your ability to solve difficult problems others cannot. You can think outside the box and can conceptualize new designs and ways of working. You understand the need to and benefits of automating tasks to the maximum extent possible. You are a team player and are happy to share your knowledge with others.
- Analyze huge amounts of data, both structured and unstructured
- Organizing data into usable formats
- Building predictive models
- Building machine learning algorithms
- Analyzing data for trends and patterns and to find answers to specific questions
Responsibilities Duties:
- Setting up data infrastructure
- Assess quality of data and remove or clean data.
- Generating information and insights from data sets and identifying trends and patterns
- Preparing automated reports for executive and project teams
- Create and automate visualizations of data.
- Present data using various data visualization techniques and tools.
- Investigate additional technologies and tools for developing innovative data strategies.
Key Skills:
- University graduate of Data Science, Computer Engineering/Science, Mathematics or Statistics.
- Strong mathematical & numeracy skills.
- Understanding of reporting & data visualization tools.
- Excellent analytical skills - the ability to identify trends, patterns, and insights from data.
- Experience building Machine Learning models using training data and test data.
- Quick learner – especially in the use of new applications/tools or analytical methods, can adapt quickly to different projects and situations, and can work on multiple projects concurrently.
- Excellent communication skills, both written and spoken in English.
Experiance Qualifications:
- University graduate of Data Science, Computer Engineering/Science, Mathematics or Statistics.
- Strong mathematical & numeracy skills.
- Understanding of reporting & data visualization tools.
- Excellent analytical skills - the ability to identify trends, patterns, and insights from data.
- Experience building Machine Learning models using training data and test data.
- Quick learner – especially in the use of new applications/tools or analytical methods, can adapt quickly to different projects and situations, and can work on multiple projects concurrently.
- Excellent communication skills, both written and spoken in English.
Benefits:
Benefits: This may include training, health, insurance, commuting support, lunch service etc.