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Position Overview
The Data Scientist’s role is to extract insights from a variety of data to enable predictions and data-driven decision-making. The Data Scientist will collaborate with business and technology associates to understand business questions, identify the right data sources and techniques and then, prepare data, develop and train models, develop algorithms (predictive and machine learning), present findings and results, and add to a library of re-usable assets. The Data Scientist will be part the Commercial Product Supply (CPS) Digitisation Centre Of Excellence (COE) which supports the entire CPS organisation. Key results for this role are:
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
The Data Scientist’s role is to extract insights from a variety of data to enable predictions and data-driven decision-making. The Data Scientist will collaborate with business and technology associates to understand business questions, identify the right data sources and techniques and then, prepare data, develop and train models, develop algorithms (predictive and machine learning), present findings and results, and add to a library of re-usable assets. The Data Scientist will be part the Commercial Product Supply (CPS) Digitisation Centre Of Excellence (COE) which supports the entire CPS organisation. Key results for this role are:
- Analytics solutions that meet criteria for business value, cost, time-to-deliver, and reusability
- Actionable insights for business teams
- Compliance with company and industry best practices and standards
- Work with subject matter experts and Data / Business Analysts to understand business questions, processes, and related data. Convert the information into a project charter with measurable deliverables and business goals.
- Integrate data from a variety of business subject areas: finance, Engineering; Operations; Supply Chain; IT and publicly available data.
- Analyze data to develop predictive models and identify data patterns and trends.
- Build validate and test predictive models.
- Manage analytics databases and data sets.
- Detect data anomalies.
- Develop data science strategies and approaches.
- Code algorithms and train models.
- Document processes and research, standards, guidelines, and best practices for teams utilizing the solutions.
- University Degree or higher in Data Science, Computer Science, Statistics, Applied Maths or related field.
- Master’s Degree in Data Science, Computer Science, Statistics, Applied Maths or related field is preferred.
- 5+ years of related professional experience, ideally in the Consumer products industry with a minimum of 3 years of experience in analytics & data science.
- Expert skills in statistical and predictive modelling and data mining.
- Advanced skills in SQL, Hadoop and one, or more, languages such as C#, Java, Python, R, Scala.
- Experience in one, or more, Big Data Technologies such as (Azure SQL DW, BigQuery, Cloudera, CosmosDB, Hortonworks, Hive, HBase, Kafka, Pivotal, Redshift, Spark, Storm, Vertica, Yarn). Strong preference for Azure expertise.
- Experience with Azure Insight and Analytics components is preferred.
- Advanced knowledge of several machine learning algorithm types such as: Linear and Logistic Regression, Clustering, Decision Tree, SVM, Naive Bayes, K-Nearest Neighbors, K-Means, Random Forest, Dimensionality Reduction Algorithms, Gradient Boosting Algorithms.
- Ability to mentor others and increase the knowledge level in the team.
- Comfortable in both an indirect leadership and team-member role.
- Very good verbal and written communication skills in English.
- Up to date on latest industry trends; able to articulate trends and potential clearly and confidently.
- Creative problem solver who thrives when presented with a challenge.
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Key Skills
Ranked by relevance
c
ai
ha
ui
machine learning
sql
lan
cis
data mining
big data
python
hadoop
scala
kafka
cloud
hbase
excel
spark
java
yarn
git
esp
oop
pan
vm
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- Posted
- Dec 17, 2024
- Type
- Full-time
- Level
- Not Applicable
- Location
- Ballina
- Company
- The Coca-Cola Company
Industries
Manufacturing
Food
Beverage Manufacturing
Beverage Services
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Automation Software Engineer
2026-05-25
Full-time
Not Applicable
Ireland
Manufacturing
Other
View Job Details
Related
Process & Data Analyst
2026-05-21
Full-time
Not Applicable
United States
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View Job Details
Related
Director, Strategic Insight & Analysis
2026-05-23
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