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Data Scientist

Salary undisclosed

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Work Responsibilities

Data Scientist Job Description:

  • 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.

Tangibles

Qualifications and Requirements:

  • 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 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.