Data Scientist
7 months ago
**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 implementation of client’s analytics solutions with 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 experiences in Data Science fields. Fresh graduate 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 scientific approach required.
- Ability to work with mínimal 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.
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