What you’ll be doing
• Data Architecture definition on azure platform
• Data streaming architectures on azure
• Data governance methods and tools on azure Azure; Databricks py Spark Azure data lake storage
• Developing and coding models by applying algorithms to large structured and unstructured data sets for our more complex projects
• Developing visualization products to share analysis across a large group of business users
• Designing strategies and proposing algorithms to analyze and leverage data from existing and new data sources
• Continuously seeking out industry best practice and developing skills to create new capabilities for data analytics at clients to improve business decisions
• Networking with business stakeholders to develop a pipeline of data science projects aligned with business strategies • Translating complex and ambiguous business problems into project charters clearly identifying technical risks and project scope
• Participating in cross-disciplinary project teams of database specialists, data scientists, and business subject-matter experts to complete project deliverables What you’ll bring to the team
• Solid experience in Data Modeling, SQL, BI/DWH, Agile methods
• Proven professional data science experience, e.g., machine learning, algorithms, and statistical modelling, such as classification, time-series analysis, regression
• Experience in delivering end-to-end machine learning application: data collection, data engineering, data analysis, modeling, evaluation, drawing insights and make recommendations
• Experience in project management and leading project development
• Good understanding of ML models and applicability
• Knowledge about how to deploy cloud environments, like Azure Proficient English
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