Data scientist

• You will be responsible for creating the concepts and implementing statistical models, building end-to-end AI products on Azure Dev Ops, and presenting insights to senior leadership.
• We expect a professional with experience in ETL, exploratory data analysis, and predictive modeling, as well as knowledge in SQL, Python, R, and libraries such as Tensor Flow, Keras, and Py Torch.
• Familiarity with cloud platforms (Azure, Google Cloud, or AWS) will be a advantage.
• Responsibilities and assignments Create concepts for the analytical solution for business problems by implementing statistical models and programming techniques.
• Ensure that any obstacles in implementation are communicated to the Analytics Manager to avoid project timeline impacts.
• Create end-to-end AI products using Azure and Dev Ops.
• Document all aspects of the project in a standardized manner for future usage.
• Storyboard and present insights to senior leadership.
• Requirements and Qualifications Experience in Data Science, preferably in the CPG domain.
• Proficiency in ETL and exploratory data analysis (EDA).
• Experience working with large volumes of real data using SQL (Teradata, Oracle, or My SQL) and R, or another statistical program.
• Knowledge in implementing machine learning and deep learning algorithms.
• Exposure to working with complex datasets, machine learning, and deep learning libraries such as Pandas, Scikit-learn, Tensor Flow, Keras, Py Torch, or such.
• Bachelor's degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative analysis field.
• Ability to create insightful visualizations in Python and R.
• Experience with cloud platforms such as Azure, Google Cloud, or AWS will be an advantage.
• Fluent in English.
• Spanish fluency will be a advantage.
• Proficiency in programming languages (Python, R) is mandatory.
• Advanced skills in Excel and Power Point.
• Strong knowledge of SQL.

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