What are the responsibilities and job description for the Data Scientist position at Capgemini?
Duration: 4 Months
Job Description:
- Expert in AWS and Postgres.
- Analyzing and translating business needs into long-term solution data models.
- Evaluating existing data systems.
- Working with the development team to create conceptual data models and data flows.
- Developing best practices for data coding to ensure consistency within the system.
- Reviewing modifications of existing systems for cross-compatibility.
- Implementing data strategies and developing physical data models.
- Updating and optimizing local and metadata models.
- Evaluating implemented data systems for variances, discrepancies, and efficiency.
- Troubleshooting and optimizing data systems.
The Capgemini Freelancer Gateway is enabled by a cutting-edge software platform that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.
A global leader in consulting, technology services, and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital, and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company with over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.
