Senior Data Scientist

The Coca-Cola Company; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

The Coca-Cola Company’s Technology organization is seeking a Data Scientist in Dublin to transform vast data into actionable insights. You will develop analytics models and work with seasoned professionals to drive decision-making across Marketing, Finance, Technical Innovation and Supply Chain.

You will collaborate with cross-functional teams, translate requirements into data-driven solutions, apply ML and statistical methods, and communicate findings to both technical and non-technical

Qualifications

• Bachelor’s or Master’s degree in a quantitative field; Ph.D. preferred.
• Experience gathering, interpreting and translating business requirements.
• Proficient with Python, R, SQL.
• Experience with large-scale data wrangling in relational databases or Spark.
• Experience applying statistical modeling techniques and ML.

Responsibilities

• Collaborate with cross-functional teams to understand business objectives.
• Translate requirements into data and develop ML/AI algorithms.
• Leverage large structured/unstructured data for modeling.
• Visualize data and create reports and insights.
• Communicate analytical results to stakeholders.
• Partner with ML OPS to scale AI use-cases.
• Maintain technical documentation.
• Build and maintain a library of data science solutions and templates.
• Leverage CI/CD to automate deployments.
• Keep abreast of industry trends.

Skills

Python

R

SQL

Data wrangling

Experimentation

Communication

Education

Bachelor's or Master’s degree in a quantitative field

Tools

GitHub

GitLab

Azure DevOps

Job description

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

In this position, you will embark on a journey of leveraging vast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment.

What You’ll Do for Us:

• Collaborate with cross-functional teams to understand businessrequirementsand objectives.

• Translate business requirements by incorporating data and develop ML and AI algorithms toproduce actionable insightsfor various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe.

• Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.

• Visualizeand interpretdata andcreatereportsand actionable insights.

• Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management.

• Partner withML OPSto scaleandoperationalize MLandAI use-cases.

• Maintain technical documentation in accordance with the agreed standards.

• Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.

• Leverage CI and CD principles to automate and improve repeatability of deployments.

• Keep abreast of industry trends and developments in data science and analytics.

Qualifications & Requirements:

• Bachelor’s orMaster’s degree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance, Mathematics, OperationsResearchor other quantitativediscipline. Ph.D. preferred.

• Experience gathering, interpreting and translating business requirements.

• Proficientexperiencewithanalytical and programming languages and packages, such as Python, R, and SQL.

• Able to understand various data structures and common methods in datatransformation.

• Demonstrated experience in large-scale data wrangling with relational databases and/or Spark.

• 4+ years’experienceapplying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production.

• Strong aptitude for learning and applying new technologies related to Data Science and Data Management.

• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences.

• Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional Skills:

Practical experience with as many of the following as possible:

• Handles multiple competing priorities in a fast-paced, deadline-drivenenvironment

• Strong attention to details and excellent problem-solving skills

• Ability to work in a collaborative team environment

• Highly innovative, adaptable, and self-directed

• Results-oriented with a delivery focus

• Presentation skills: Ability to communicate technical topics to business audience

• Be able to collaborate across other levels of the organization

• Team player who can lead a discussion to defined outcomes

• Effective Communication

• Pursuing Innovation

What We Can Do for You: ****

• Innovation & Technology :The ability to work with an award-winning team that is on the cutting edge of innovation.

• Exposure to World Class Leaders :Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.

• Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate.

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.