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Data Scientist

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**_ Responsibilities_**
- Mines data using modern tools and programming languages.
- Defines and implements models to uncover patterns and predictions creating business value and innovation.
- Works with project team to understand problem statements, initiates and direction.
- Tells stories with the data using visualization tools/methods to demonstrate insight impact.
- Assures accuracy, integrity, and compliance of cleansed data.
- Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
- Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.
**_ Knowledge & Skills_**
- Using statistics, mathematics, algorithms and programming languages.
- Understanding of disparate unstructured and structured data in a distributed environment.
- Solid grasp of structured and unstructured data and modern data transformation methodologies
- Ability to create models to pull valuable insights from data.
- Create stories and visualizations to describe and communicate data insights.
- Strong analytical and problem-solving skills.
- Creative.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate data insights negotiate options.
**_ Scope & Impact_**
- Collaborates with peers, junior engineers, data scientists and project team.
- Typically partners with high-level Individual Contributors and Managers.
- Supports projects requiring data engineering solutions expertise.
**_ Education & Experience_**
- Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 2-4 years' experience including graduate or postgraduate research.