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Data Scientist
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SalaryJob Description
- Experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
- Ability to deploy ML models to production environment.
- Ability to take ambiguous sets of data and decipher meaning to tell a story or business case that drives business decisions is required. Should be strong in AWS suite.
- Strong predictive, statistical modeling skills.
- Strong ability to communicate both written and verbally to internal and external clients.
- Ability to work independently with business users and cross functional leaders.
- Ability to solve for higher ambiguity using data science.
- Strong ability to create and deliver effective presentations to multiple audiences.
- Advanced expertise using data analytic software such as R, Python, SQL.
- Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
- Ability to work in a collaborative environment and fast paced environment.
- Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
- Ability to mentor junior data scientists and colleagues.
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