Data Scientist

The Coca-Cola Company; Ireland; On-site; EUR 55,000 - 75,000; Full time

Job summary

A global beverage leader is seeking a Data Scientist in Ireland to leverage data mining techniques for smarter business decisions. The ideal candidate will have a degree in statistics or math, experience with relational databases and visualization tools like Tableau, and a minimum of 2 years of relevant experience. Strong analytical and problem-solving skills are essential for optimizing business value.

Qualifications

• Minimum of 2 years of relevant experience.
• Experience with relational databases, information, and insights.
• Experience with modelling software and data mining techniques.

Responsibilities

• Translate technical objectives into defined problems solvable by data science.
• Design algorithms to solve current technical problems.
• Communicate data analysis and insights using rich visualization tools.

Skills

Data Analysis

Data Science

Structured Query Language (SQL)

Tableau

Data Mining

Education

A recognised Degree in Applied Statistics, Maths, or a related quantitative discipline

Master’s Degree in applied statistics or applied maths preferred

Tools

Tableau

MicroStrategy

Job description

Position Overview

The Data Scientist is responsible for discovering the information hidden in vast amounts of data and supporting the business in making smarter decisions thereby driving significant business efficiencies. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems and collaborating with key business stakeholders to optimize and streamline reporting and metrics, and implement solutions to create better business value.

KEY DUTIES/RESPONSIBILITIES

• Work on the process of translating technical objectives into defined problems that can be solved by applying data science.
• Design algorithms to address current technical problems.
• Work closely with COE Team members to apply advanced analytics, modelling and simulation to replicate and anticipate issues.
• 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.
• Work closely with Centre Of Excellence team members to apply advanced analytics, modelling and simulation to replicate current issues and develop solutions.
• 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: Data Analysis; Data Science; Structured Query Language (SQL); Tableau (Software); Data Mining