Bachelor's degree in computer science, Data Analytics, Mathematics, Information Management, or Statistics. A master's degree is preferred with a focus on Data Science, Machine Learning or a related discipline.
Experience:
Minimum of 8 years in data science, analytics, or a related technical field, with hands-on experience in machine learning and data modeling. Demonstrated success in developing and deploying data science projects in large organizations or complex environments.
Technical Skills
: Programming Languages: Proficiency in Python, R, or similar languages for data analysis and model development. Data Modeling: Strong skills in data modeling with experience in SQL and NoSQL databases.
Machine Learning Frameworks:
Expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. Data Science Platforms: Experience with Dataiku Data Science platform and familiarity with Microsoft Azure services, including Azure ML Studio and Azure Copilot Studio.
Data Visualization:
Proficiency in data visualization tools like Power BI, Tableau, or similar platforms Massive Parallel Processing (MPP) Technologies: Familiarity with MPP platforms (e.g., Databricks, Snowflake) is a plus.
Version Control:
Experience with Microsoft DevOps as version control systems.
Job Type: Full-time
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