HSO International
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Data Scientist
As a Data Scientist you can expect to… Perform data discovery, profiling, cleaning, and exploratory analysis across structured and semi-structured enterprise datasets Develop predictive and statistical models that support forecasting, classification, segmentation, anomaly detection, and optimization use cases Build and evaluate machine learning pipelines using Python-based frameworks within Azure analytics environments Prepare feature sets and training datasets aligned with business objectives and model performance requirements Partner with Data Engineers and Integration Engineers to deploy models into production environments using Azure-based platforms Support ingestion and preparation of data for analytics and intelligent applications across Microsoft Fabric, Synapse, and Azure Databricks Contribute to solutions supporting Copilot, Azure OpenAI, semantic search, and retrieval-based intelligent application scenarios Design and execute experiments to validate model performance and improve prediction accuracy Translate analytical outputs into clear business insights and recommendations for technical and functional stakeholders Document modeling assumptions, feature engineering approaches, evaluation results, and deployment workflows Support model monitoring activities including drift detection, retraining strategies, and performance tracking Ensure alignment with enterprise governance, data security, and responsible AI practices across engagements Stay current with emerging machine learning, analytics, and generative AI technologies within the Microsoft ecosystem You’re great at… Handling multiple projects/tasks simultaneously in a team environment Applying statistical analysis and machine learning techniques to solve business problems using real-world enterprise datasets Building predictive models using methods such as regression, classification, clustering, and time-series forecasting Preparing and transforming datasets for modeling through feature engineering and exploratory data analysis Developing machine learning workflows using Python and common ML libraries such as scikit-learn, TensorFlow, or PyTorch Supporting analytics environments such as Microsoft Fabric, Azure Databricks, Synapse, and Power BI data models Collaborating with Data Engineers and Integration Engineers to operationalize models within production data platforms Designing experiments to evaluate model effectiveness and improve prediction accuracy over time Translating analytical findings into actionable insights for both technical and business stakeholders Working with cloud-based analytics and machine learning services, particularly within Microsoft Azure environments Documenting modeling logic, assumptions, and outputs to support maintainability and governance requirements Supporting feature engineering and model deployment within production data platforms Promoting the mission and Shared Values of our company Sound interesting? If so, you’ll have… Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field Strong proficiency in Python and SQL for data preparation, modeling, and analysis workflows Development of predictive models using techniques such as regression, classification, clustering, or forecasting Familiarity with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks Support of analytics or modern data platforms such as Microsoft Fabric, Azure Databricks, Synapse, or Power BI Work within cloud-based analytics or machine learning environments, preferably Microsoft Azure Exposure to model deployment workflows and collaboration with engineering teams supporting production implementations Clear communication of analytical insights to both technical and non-technical audiences Ability to collaborate effectively across cross-functional delivery teams in consulting or enterprise solution environments Microsoft Azure certifications related to data, analytics, or AI platforms preferred Ability to work with clients and internal teams to deliver solutions
