South Africa Job Openings
Heineken International B.V.
Data Scientist
Johannesburg
FULL TIME
October 16, 2024
We Go Places! How about you?
Immediate Superior: Chapter Lead: Data Science
Location: Sandton/Stellenbosch
Function: Digital & Technology
Sub Function: Digital & Technology - Other Support
Type of Contract: Permanent
Reference Number: 123121
Closing Date: 30/10/2024
The AME (Africa & the Middle East) Analytics Hub is a business-led, value driven satellite hub of Heineken’s Global Analytics team whose mission is to lead Heineken into becoming a data-driven company and the best-connected brewer. The AME Data Science Chapter aims to achieve this by utilising data science to solve business problems at scale to deliver tangible value across the AME region.
We are looking for a Junior/Mid-level Data Scientist to support this vision and strategy. This is a high-impact role that will help in adding value through supporting Heineken’s strategic goals. The ideal candidate will excel in machine learning, software development, cross-functional and cross-domain collaboration and share a passion for enabling scalable solutions that deliver business value.
If these challenges sound interesting and exciting, we hope you apply. We want to be collaborative, innovative, and reliable. We see collaboration as key in our global community with many diverse cultures, roles, and challenges. We strive to create an environment where you enjoy both the problems you are solving, but also the people you are solving them with. We innovate to transform HEINEKEN from a traditional to a data-driven company. We position ourselves as a business partner driving value-creating decisions and building trust in our solutions.
Key Requirements:
Immediate Superior: Chapter Lead: Data Science
Location: Sandton/Stellenbosch
Function: Digital & Technology
Sub Function: Digital & Technology - Other Support
Type of Contract: Permanent
Reference Number: 123121
Closing Date: 30/10/2024
The AME (Africa & the Middle East) Analytics Hub is a business-led, value driven satellite hub of Heineken’s Global Analytics team whose mission is to lead Heineken into becoming a data-driven company and the best-connected brewer. The AME Data Science Chapter aims to achieve this by utilising data science to solve business problems at scale to deliver tangible value across the AME region.
We are looking for a Junior/Mid-level Data Scientist to support this vision and strategy. This is a high-impact role that will help in adding value through supporting Heineken’s strategic goals. The ideal candidate will excel in machine learning, software development, cross-functional and cross-domain collaboration and share a passion for enabling scalable solutions that deliver business value.
If these challenges sound interesting and exciting, we hope you apply. We want to be collaborative, innovative, and reliable. We see collaboration as key in our global community with many diverse cultures, roles, and challenges. We strive to create an environment where you enjoy both the problems you are solving, but also the people you are solving them with. We innovate to transform HEINEKEN from a traditional to a data-driven company. We position ourselves as a business partner driving value-creating decisions and building trust in our solutions.
Key Requirements:
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Support data-driven decision-making by analyzing data and providing actionable insights and recommendations.
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Identify and apply appropriate analytics and machine learning techniques to solve business problems under the guidance of senior team members.
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Assist in the design and implementation of machine learning models and data pipelines for various projects.
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Adopt good software development practices, including writing clean, maintainable code and performing unit testing to ensure the reliability of solutions.
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Contribute to the design and execution of experiments to evaluate the effectiveness of data-driven solutions in real-world scenarios.
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Collaborate with team members on projects, participating in code reviews and knowledge sharing sessions to enhance collective expertise.
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Manage individual project tasks from data collection and preprocessing to model development and evaluation, ensuring timely delivery.
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Follow established standards and processes within the data science team to maintain consistency and quality in deliverables.
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Work closely with cross-functional partners such as engineering, analytics, and product management teams to understand requirements and deliver data solutions.
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Communicate findings and model outcomes effectively to both technical and non-technical stakeholders through presentations and reports.
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Relevant bachelor's degree
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Minimum of 5 years relevant experience in data science.
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Eager to learn and continuously improve, demonstrating a strong ability to quickly grasp new concepts, tools, and methodologies to enhance your contributions and grow within the role.
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Collaborative and thrive in team settings.
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Proficient in data science fundamentals with a solid understanding of statistical methods and data analysis techniques
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Proficient in Python and Py Spark.
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Able to align business problems with data science solutions and suggest experimentation and implementation strategies.
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Skilled in SQL and familiar with distributed data stores like Hive and Spark.
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Impact-driven, pragmatic, and able to incorporate business context into data questions.
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Proactive and take ownership of tasks, actively managing your work and contributing to project success.
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Strong at communication, capable of conveying technical content to non-technical audiences.
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Plus: Familiar with Databricks.
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Plus: Familiar with software engineering practices, unit testing, and version control.
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