Data Scientist Job at Robert Half, Trenton, NJ

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  • Robert Half
  • Trenton, NJ

Job Description

Job Description

Job Description

We are offering a position for a Data Scientist in Hamilton, New Jersey. In this role, you will be involved in various activities from project support and stakeholder engagement to documentation and risk management, all within the realm of AI and automation. The position lies within the industry of data science and requires collaboration with diverse teams, including clinical, operational, and IT departments.

Responsibilities:

• Assist in the planning and execution of AI and automation projects, ensuring adherence to governance frameworks and compliance with relevant policies and standards.

• Collaborate with cross-functional teams to enforce governance practices and understand stakeholder needs.

• Maintain comprehensive documentation of governance frameworks, policies, standards, and procedures for compliance and audit purposes.

• Contribute to the design and implementation of governance frameworks for AI and automation technologies.

• Monitor and ensure compliance with in-house policies and external regulatory requirements related to AI and automation.

• Manage AI Intake & Risk Assessment processes and perform AI Risk Assessments for each vendor and in-house solution.

• Work with other team members to identify metrics for measuring effectiveness for each AI use-case and use data analytics to support data-driven decision-making.

• Identify opportunities for improving governance frameworks and processes and stay updated on emerging trends and best practices in AI governance.

• Proficiency in using Apache Kafka for real-time data processing
• Experience with Apache Pig for scripting and data flow
• Proficiency in Apache Spark for large-scale data processing
• Familiarity with Cloud Technologies for data storage and computing
• Expertise in Data Visualization for clear and impactful data presentation
• Ability to implement complex algorithms for data analysis
• Proven track record in Analytics for data interpretation and decision-making
• Experience with Apache Hadoop for distributed data processing
• Familiarity with API Development for seamless data integration
• Proficiency in AWS Technologies for cloud computing and storage solutions

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