Join a dynamic team as an Enterprise Data Scientist where you'll engineer machine learning solutions for various clients. This role is perfect for those with a solid background in data science and a passion for deploying innovative solutions in cloud environments.
As an Enterprise Data Scientist at Nigel Frank International, you'll be at the forefront of engineering features for production machine learning workloads. Your primary responsibility will be to work on clients' data infrastructures, supporting AI and machine learning initiatives across various cloud platforms like AWS and GCP. This role is ideal for someone who is passionate about data and eager to apply their skills in a practical setting.
In your day-to-day work, you will develop statistical and machine learning models aimed at solving real business problems. You'll also be responsible for deploying these machine learning solutions into production environments, ensuring they operate effectively and efficiently. Your experience in data engineering, data science, or machine learning engineering will be crucial in this role.
Key responsibilities include: • Engineering features for machine learning workloads • Developing and deploying machine learning models • Collaborating with clients to understand their data needs • Supporting AI initiatives across cloud platforms
To succeed in this position, you should have a solid understanding of machine learning algorithms and their practical applications. Familiarity with cloud platforms, particularly AWS and GCP, will be beneficial. This mid-level role requires 4-6 years of relevant experience, making it a great opportunity for someone looking to advance their career in data science.
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