Data Science Analyst
4 weeks ago
At PepsiCo, we are seeking a highly skilled Data Science Analyst to join our Data Analytics & AI team. As a Data Science Analyst, you will be responsible for developing Machine Learning (ML) and Artificial Intelligence (AI) projects using big analytics toolsets in a CI/CD environment. Your primary focus will be on delivering key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope.
Responsibilities
- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
- Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
- Use big data technologies to help process data and build scaled data pipelines (batch to real time)
- Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines leveraging the NGAA platform (Azure)
- Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
- Automate ML models deployments
Qualifications
- Minimum 4+ year of SQL experience
- Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred)
- BE/BS in Computer Science, Math, Physics, or other technical fields
- Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models
- Programming Skills – Hands-on experience in statistical programming languages like Python, R and database query languages like SQL
- Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
- Cloud (Azure) – Experience in Databricks and ADF is desirable
- Familiarity with Spark, Hive, Pig is an added advantage
- Model deployment experience will be a plus
- Experience with version control systems like GitHub and CI/CD tools
- Experience is Exploratory data Analysis
- Knowledge of ML Ops / DevOps and deploying ML models is required
- Experience using MLFlow, Kubeflow etc. will be preferred
- Experience executing and contributing to ML OPS automation infrastructure is good to have
- Exceptional analytical and problem-solving skills
Employment Value Proposition
At PepsiCo, we recognize that our success is driven by our talented and dedicated employees. Our Employee Value Proposition is built on a foundation of competitive compensation, comprehensive benefits, and a commitment to your professional growth and personal well-being. We offer a dynamic and inclusive workplace where innovation thrives and your contributions are celebrated. Join us to make an impact, grow your career, and be part of a company that values sustainability, community engagement, and ethical practices.
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