Job Description
The Role
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.
- Develop and maintain client analytics reports.
- Assist the data science team with project management, including marketing, non-marketing, and custom solution projects.
Leadership Responsibilities:
- Commits to personal learning and growth.
- A drive to learn and master new technologies and techniques.
Ideal Profile
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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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