Data Scientist

6 days ago

Tuas, Singapore Coca-Cola Full time

**Position Overview**

**KEY DUTIES/RESPONSIBILITIES**
- Design algorithms to address current technical problems.
- Uncover new technical problems that need to be solved and support better decision-making.
- Communicate data analysis and insights using rich visualization tools (e.g. Tableau; MicroStrategy; R; Power BI) and leverage data to present compelling cases to optimize solutions.
- Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships.
- Provide expertise on mathematical concepts and inspire adoption of advanced analytics.

**EDUCATIONAL REQUIREMENTS**
- A recognised Degree in Applied Statistics, Maths or a related quantitative discipline.
- Master’s Degree in applied statistics, applied maths, or related quantitative discipline preferred.

**PREVIOUS WORK EXPERIENCE & SKILLS**
- Minimum of 2 years of relevant experience
- Experience with relational databases, information and insights.
- Experience with modelling software, data mining techniques and methodologies.
- Experience with visualization software (Tableau, MicroStrategy).
- Experience leveraging cloud platforms and developing in SQL.
- Superior critical thinking, analytical and problem-solving skills.
- Passionate, creative and forward-thinking individual.

**COMMUNICATION COMPLEXETIES**
- Must be able to communicate complex solutions to nontechnical stakeholders in a way that can easily be understood. Data-science software tools can help visualize findings, but strong verbal communication skills are required to tell the story clearly.
- Communicate data analysis and insights using rich visualization tools
- Able to inspire adoption of advanced analytics through effectively communicating the benefits.

**CULTURAL DIVERSITY**
- Establish a worldwide network of contacts within the Company with broad culture diversity.
- Ability to work within multi-cultural organisation and to leverage diversity.

**Skills**

Structured Query Language (SQL); Tableau (Software); Data Science; Data Mining; Data Analysis

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