Expert Azure Data Scientist

This role focuses on leveraging advanced data science techniques and Azure cloud technologies to develop and implement innovative solutions. The ideal candidate will be responsible for building and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams to deliver impactful business insights.

Key Responsibilities:

Develop and implement machine learning models using Azure Machine Learning services.
Perform data exploration, cleaning, and feature engineering.
Design and build data pipelines for efficient data processing.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Monitor and evaluate model performance, making necessary adjustments to optimize results.
Stay up-to-date with the latest advancements in data science and cloud technologies.

Requirements/Qualifications:

Strong understanding of machine learning algorithms and techniques.
Experience with Azure cloud platform and related services (e.g., Azure Machine Learning, Azure Data Factory, Azure Databricks).
Proficiency in programming languages such as Python or R.
Experience with data visualization tools.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.

About the Company: NTT Data Services is a global technology services provider focused on helping clients drive business outcomes through digital transformation. They deliver innovative solutions across various industries, leveraging technology to address complex challenges and create lasting value.