Data Scientist

Description

• Working inside DNX to create IP
  • Thought leadership
  • Sales material
  • Blogs
• Working with Customers to assist and perform engagements focused on Data including but limited to
  • Data Architecture Design:
    • Designing and implementing data systems and architecture that align with the business requirements.
    • Developing and maintaining data models, schemas, and databases.
  • Data Integration:
    • Building and maintaining data pipelines to efficiently extract, transform, and load (ETL) data from various sources into a centralized data warehouse or data lake.
    • Ensuring smooth and efficient data integration across different platforms and systems.
  • Data Quality and Governance:
    • Implementing data quality checks and validation processes to ensure accuracy and consistency of the data.
    • Establishing and enforcing data governance policies and procedures.
  • Data Transformation and Processing:
    • Developing and optimizing data transformation processes to convert raw data into a format suitable for analysis.
    • Implementing data processing solutions for real-time and batch processing requirements.
  • Machine learning / GenerativeAI
    • Architect and deploy ML models increasing capability and customer use
    • Develop thought leadership on GenAI and Ethical AI

Requirements

• Computer literacy: As an IT professional, you’ll spend a lot of time using computers, so understanding how to operate it and its basic functions is necessary.
• Coding: Many IT roles require coding knowledge in various programming languages, depending on your specific role. You may help code or develop new software and applications for your company.
• Application development: Having experience with application development can help you to understand the back-end of the software you’re using. You may find this helpful in creating new software or applications and monitoring computer systems. 

Salary 100,000-120,000