Data Scientist Engineer
hace 3 semanas
About the Role
We are seeking a highly skilled Data Scientist Engineer to join our team at PepsiCo Deutschland GmbH. As a key member of our Data Science department, you will play a crucial role in designing and implementing software solutions to complement our data-driven developments.
As a Data Scientist Engineer, you will work closely with our Data Scientists to enrich and structure their solutions by building components related to CI/CD, monitoring, model explainability, data and model drifting, or ML lifecycle management. You will also enhance collaboration between Data Engineers and Data Scientists by defining Data Quality validation or linking Data and ML pipelines.
Additionally, you will work with our IT teams to define templates and/or processes to facilitate the developments and deployments of ML solutions. You will contribute to the development of ML solutions to serve specific business requirements and enhance the cross-functional collaboration between Data Scientists, Data Engineers, Software Engineers, and IT.
Responsibilities
- Develop and maintain scalable, modular, and reusable software components, guidelines, and templates related to data and ML projects.
- Serve and support the integration and adoption of software components, guidelines, and templates in new and existing ML solutions.
- Identify and audit reusable components developed for specific projects.
- Design and implement the required enhancements to make project developments reusable in other projects.
- Definition of standard ways of working and best practices of software development.
Requirements
- 2+ years of experience in delivering production-level ML solutions.
- 2+ years of experience in ETL and/or data wrangling techniques.
- 2+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
Preferred Qualifications
- Experience with Python and SQL.
- Practiced in Git.
- Practiced in at least one cloud computing platform (Azure, AWS, Google Cloud). Azure preferred.
What We Offer
We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.
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