Data Scientist

• Support and maintain LATAM work using advanced analytics tools in a CI/CD environment.
• Collaborate with data engineers and ML engineers to gain a deep understanding of data and models.
• Utilize big data technologies to efficiently process data and construct scalable data pipelines spanning from batch to realtime processing.
• Automate the endtoend ML lifecycle with Azure Machine Learning and Azure Pipelines leveraging the powerful NGAA platform on Azure.
• Manage cloud alerts monitors dashboards and troubleshoot machine learning infrastructure effectively.
• Ensure the accuracy of implemented forecasting solutions and continuously enhance the forecast accuracy.
• Conduct root cause analysis of demand issues and propose experimental approaches for solutions.
• Foster prompt and transparent communication with the business team and team members located in other areas.

• A minimum of 8 years of overall experience including at least 5 years of handson work in data science and machine learning.
• Proficient in DevOps and machine learning with practical experience using one or more cloud service providers (preferably Azure).
• Bachelors degree in Computer Science Mathematics Physics or a related technical field.
• Strong understanding of demand planning and management activities including seasonal adjustments promotions discounts and other relevant factors that influence forecasting.
• Skilled in developing both supervised and unsupervised machine learning models.
• Proficiency in statistical programming languages such as Python and R as well as database query languages like SQL.
• Knowledgeable in statistical tests distributions regression and maximum likelihood estimators.
• Desirable experience with Databricks and ADF. Familiarity with Spark Hive and Pig is an added advantage.
• Experience with version control systems like GitHub and continuous integration/continuous deployment (CI/CD) tools.
• Knowledge of ML Ops DevOps and deploying ML models is required. Preferred experience using ML Flow Kubeflow etc.

statistics,machine learning,python,sql