_ 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.