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This role is part of the D&T department of HEINEKEN International. D&T is proud to bring cutting-edge innovation, strong technology, and advanced analytics to HEINEKEN. With speed and agility, we ensure HEINEKEN has the technological competitive advantages it needs to deliver on its ambition.
In particular, he/she will partner with a growing group of data professionals such as Data Engineers, Machine Learning Engineers, and Product Managers who play a crucial role in the development and delivery of Analytics products at scale.
JOB DESCRIPTION
• Responsible for R&D within the Advanced Analytics organization for a specific product
• Apply software engineering best practices (CI/CD and unit testing) to ensure the reliability and robustness of data science solutions.
• Develop predictive models and only standardized value-measurement techniques (e.g. running A/B testing) to solve complex business problems, such as forecasting timeseries, churn prediction. • Participate in scrums and deliver all objectives within a defined scope
• Deliver AA prototype products (pilots) in identified high value areas, and scale to deliver value
• Maintain strong relationships with stakeholders to ensure collaboration and delivery of objectives • Continued self-development and research of best-in-class analytical approached
JOB REQUIREMENT
• BA/MSc in Statistics, Mathematics, or a related field; equivalent work experience accepted.
• At least 03 years of experience in a pure analytical/science role.
• Excellent written and verbal communication skills in English
• Ability to build and maintain strong collaborative relationships with stakeholders across the business
• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables
• Communicate effectively with various stakeholders, tailoring your message to you audience's level of technical understanding.
• Knowledge of Machine Learning, Statistics, and related fields.
• Fluent Python and thorough knowledge of pandas & scikit-learn.
Job ID: 149032327
Skills:
tokenization , Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, LLM-based systems, embeddings, pgvector, RAGAS, Pinecone, Vector Databases, transformer architectures, Agentic frameworks, semantic search, TruLens, Cloud MLOps, LangChain, CrewAI, deep learning frameworks, AutoGen, RAG, Milvus, Weaviate, LlamaIndex
Skills:
data engineering , Java, Python, R, Cloud Data Architecture, Data Mining Techniques, Prompt Engineering, Statistical Methods, Data Pipeline Development
Skills:
Sql, Gcp, Docker, Predictive Modeling, Spark, Databricks, Clustering, Azure, Kubernetes, Python, AWS, LangChain, embeddings, RAG systems, vector databases, Classification, prompt engineering, LangGraph, recommendation systems, LLM applications, ranking models
Skills:
Pandas, Docker, Pyspark, Spark, Databricks, FastAPI, Python, scikit-learn, Delta Lake, MLflow
Skills:
Algorithms, Unix, Machine Learning, Version Control, Stl, Deep Learning, Oop, Numpy, Git, Pandas, Linux, data structures, Python, time-series forecasting, Jupyter Notebook, data science pipelines, PEP8
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