Enterprise Data Scientist/Analyst

About the Position

Enterprise Data Scientist/Analyst

We are seeking a skilled Data Scientist/Data Analytics Engineer to enhance our data infrastructures and support our AI and machine learning initiatives across various cloud platforms, including AWS and Azure. In this role, you will be integral to developing data pipelines and analytics solutions that directly impact business performance, while collaborating with cross-functional teams in a hybrid work setup of 2 days on site.

Responsibilities

• Develop and maintain data pipelines and analytics solutions
• Collaborate with cross-functional teams in a hybrid work setup
• Utilize AWS services such as Redshift, S3, and Lambda, as well as GCP analytics tools
• Design and implement data warehouse solutions
• Apply expertise in programming languages, preferably Python or SQL
• Implement machine learning algorithms and their practical applications
• Ensure understanding of data governance and compliance regulations

Requirements

• Mid-level experience in data engineering and analytics
• Proficiency in AWS services such as Redshift, S3, and Lambda, as well as GCP analytics tools
• Solid experience with data warehouse design and implementation
• Expertise in programming languages, preferably Python or SQL
• Familiarity with machine learning algorithms and their practical applications
• Understanding of data governance and compliance regulations

We Offer

• Opportunity to contribute to innovative projects
• Balanced work-life dynamic with a hybrid work setup
• Core benefits including a 'Pension' Retirement Savings Plan/401(K) Match/Pension Contributions

About the Company

Nigel Frank is a leading recruitment firm specializing in intelligent cloud and modern workplace solutions. We are committed to providing top-tier talent to our clients and fostering a collaborative and innovative work environment.

If you are ready to make a substantial impact in data engineering, we encourage you to apply.