Contractual Quality Data Analyst

Applies intermediate level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations.

Responsibilities

• Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
• In accordance with plan, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
• Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
• Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
• Assists in literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
• Using scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.
• Ability to apply analytical and problem-solving skills.

Knowledge & Skills

• Understanding of design, scientific procedures and processes, and data analysis.
• Strong written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate research plans, proposals, and results, and negotiate options.

Scope & Impact

• Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners.
• Typically partners with high-level Individual Contributors, Managers and Program Core Teams.
• Supports projects requiring data science engineering.

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.