Junior Data Analyst/Scientist

Job Description

Responsibilities

• Collaborate with team leader and senior data scientists, as well as clients and internal stakeholders to understand and document their business requirements, problems and objectives.
• Understand data structures and business and extract and integrate required data sources for analysis according to business requirements.
• Develop and evaluate data analytics models, algorithms, systems and solutions, including undertaking data extraction, pre-processing, modeling, evaluation, deployment, and maintenance.
• Collaborate with senior data scientists and team leader and clients to productise and pilot analytical models for production and insight per clients required.
• Undertake cost-benefit, forecasting and impact analysis by effective presentations of data-driven findings to clients and stakeholders.
• Document and communicate all relevant work and work outcomes.

Qualifications

• Solid background, knowledge and capabilities in statistics, mathematics, computer science, informatics, computing, or closely relevant scientific field.
• Experienced in data-driven analytics hands-on experience with deep know-how of predictive modeling, machine learning and data mining, and relevant modeling approaches and algorithms.
• Demonstrated capabilities to develop and evaluate statistical analysis and modeling algorithms and apply these algorithms for data-driven solutions to problems in new domains.
• Demonstrated knowledge of SQL (data extraction and manipulation), expertise in SAS programming, and software development skills in one to several scripting languages (Python/R).
• Demonstrated capabilities to communicate and engage with a range of stakeholder groups and technical project teams.
• Demonstrated capabilities to work effectively as a member of a data science project team.
• Demonstrated experience for independent problem-solving and self-motivated innovation, education and services.

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