Job Title: Data Scientist - Azure Specialist

Location: Berlin

Department: Data & Analytics

RATE: Negotiable

Company Overview:

A global leader in its sector, our company operates across a range of industries and is expanding its data capabilities to drive strategic insights and innovation. As part of our growth, we're seeking an experienced Data Scientist with Azure expertise to support critical data initiatives and elevate our analytical capabilities.

Job Summary:

The Data Scientist will apply advanced analytics, machine learning, and statistical modeling to address key business challenges. In this role, you'll design and implement data models and solutions using Azure’s tools, helping us leverage data-driven insights to drive impactful decisions.

Key Responsibilities:

Data Analysis & Modeling

• Conduct exploratory data analysis to identify patterns and trends.
• Develop and refine predictive models aligned with business objectives.
• Perform A/B testing and experiments to evaluate initiative effectiveness.

Machine Learning & Advanced Analytics

• Build and deploy machine learning models within Azure Machine Learning.
• Optimize models using Azure Databricks and AutoML.
• Collaborate on AI solutions, including natural language processing (NLP) projects as applicable.

Data Engineering & Integration

• Design and manage data pipelines with Azure Data Factory, ensuring data quality and scalability.
• Integrate and organize diverse data sources within Azure Data Lake for analytical access.
• Uphold data governance standards for security and accessibility.

Collaboration & Communication

• Engage with cross-functional teams to understand goals and provide data-driven insights.
• Present findings and visualizations to technical and executive stakeholders.

Azure Ecosystem Management

• Utilize Azure Synapse Analytics for large-scale data warehousing and analytics.
• Keep current with Azure’s evolving data products to enhance analytics capabilities.

Experience: Proven Data Scientist experience with a strong portfolio in analytics and machine learning.

Technical Skills:

• Expertise in Azure data services: Azure Data Lake, Azure Databricks, Azure Machine Learning, Azure Data Factory.
• Proficient in Python and SQL.
• Experience with big data tools (e.g., Spark, Hadoop) in the Azure ecosystem.

Apply now to have an Impact!