Data Science Leadership Role

Data Science Leadership Role

1. Serves as a data science expert; leads enterprise-wide technology and/or architecture initiatives and provides technical direction and guidance to team members. Collaborates cross functionally to identify business requirements, evaluate existing and proposed business operations and processes, and develop actionable recommendations based on results.

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Data Science Leadership Role

2. Provides technical direction and guidance to all stakeholders on the analysis, interpretation, and display of data; advises on the appropriate statistical and computational methodologies (e.g., probability sampling, experimental design, data quality) to ensure accurate conclusions and presentation of data findings.

3. Researches, analyzes, and interprets underlying data; develops algorithms to evaluate domain data (e.g., customer, finance, operational) to address business questions or issues.

4. Designs and executes the development of models and visualizations to address opportunities and pain points with technology systems and applications.

5. Develops scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. Develops processes and mechanisms using programming languages.

6. Uses statistical and exploratory data analysis techniques, methods and tools to measure and track performance and identify opportunities for improvement. Interprets results and translates findings into actionable recommendations. Presents recommendations to technical and non-technical audiences.

7. Provides project oversight and guidance to others on a project basis; leads the development and implementation of plans, processes, policies, standards, and methods to update and improve applications based on data results.

8. Collaborates with Information and Technology related business units to coordinate the integration and implementation of new developments to applications and technologies.

9. Research industry best practices, trends, and insights; identifies opportunities to incorporate emerging tools, techniques and methods into existing processes. Develops and implements recommendations based on findings.

Job Description: Data Science Expert

1. Leadership & Strategy:
   Leads enterprise-wide technology and architecture initiatives, offering technical direction and guidance to team members. Collaborates cross-functionally with stakeholders to identify business requirements, assess existing operations, and develop actionable recommendations for process improvements based on data insights.
2. Data Analysis & Guidance:
   Provides expertise on the analysis, interpretation, and presentation of data. Advises on appropriate statistical and computational methodologies (e.g., probability sampling, experimental design, data quality control) to ensure accuracy and