Data Scientist

Work responsibilities:

Assist in methodology research, data processing, and documentation to conduct independent self-guided exploration of research and frame open-ended industry questions, including, but not limited to:

• Conducts statistical analyses to develop strategies,
• Builds predictive models and machine-learning algorithms,
• Identifies data patterns and trends,
• Proposes solutions and strategies to business challenges,
• Presents information using data visualization techniques, and
• Documents all processes and research.
• Discover new opportunities to optimize the business through machine learning and/or statistical modelling.
• Assist the design and development of analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement through machine learning and/or statistical modelling.
• Assist in the implementation of client analytics solutions with the internal Project Coordinator.
• Develop and maintain client analytics reports.

Leadership Responsibilities:

• Commits to personal learning and growth.
• A drive to learn and master new technologies and techniques.

Qualifications and Requirements:

• Tangibles
• 1-2 years of professional experience in Data Science fields. Fresh graduates are welcome to apply.
• Mandatory: Experienced using programming languages (at least Python and SQL) to manipulate data and draw insights from large data sets.
• Intermediate Mathematical, Statistical, and/or Machine Learning skills required, and their real-world advantages/drawbacks.
• Knowledge and/or experience in working with structured and/or unstructured data sets.
• Knowledge and/or experience in Data Architecture and Engineering is a plus, especially Google Cloud Platform.
• Familiar with Data Visualization Tools, Google Data Studio is a plus.
• Character.
• Problem-solving skills, structured thinking and a scientific approach are required.
• Ability to work with minimal supervision and keep supervisors informed.
• Ability to work well in a team environment.
• Ability to communicate in clear and concise terms.
• Willing to learn new skills and able to do so independently.
• Ability to take initiative.