Data Architect + Dimension Modeler ( M4 )

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AI/ML Application Developer \ Lead

Role description:

Work with unstructured, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods.
Conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Interact cross-functionally with a business, engineering, product management teams.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Make business recommendations (e.g. cost-benefit, forecasting, and experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Launch new products and features, test their performance, and iterate constantly and quickly.

Role Requirement:

Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL).
AWS/Azure/GCP – NLP/CV

Experience:

3+ years of relevant work experience, including expertise with statistical data analysis such as linear models, deep learning models, multivariate analysis, and/or sampling methods.

Educational qualification: