Data Science Ic3

Are you a data scientist, and _you_ love what you do? Would you like to be a part of a _**_global_**_ customer facing Team focused on solving complex, real-world business problems? Would you like to be a part of a community of technical leaders, highly _specialised_ in their disciplines and working together as one to bring the best practices of engineering and architecture to _world’s_ largest enterprise customers?_

The **Industry Solutions Delivery** (ISD) **Engineering & Architecture** **Group** (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. EAG enhances ISD’s technical capabilities, and partners with others to develop approaches, innovative solutions, and engineering standards to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical leadership and IP capture centered on delivery truth. We are committed to Responsible AI, and we help our customers and partners build ethical, transparent and trustworthy AI solutions.

We are hiring a** Data Scientist **with experience in and passion for advanced statistical data analysis, and implementation of data science solutions in enterprises.

You'll work with high-impact professionals to solve complex problems for strategic customers and partners. You'll communicate trends and innovative solutions and collaborate cross-functionally within the Microsoft ecosystem, including product teams, research, security, solution strategy, industry excellence, and responsible AI.

Our team embraces a growth mindset and encourages diverse viewpoints. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact billions worldwide.

**Responsibilities**:
**_ Business Understanding and Impact_**

Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.

**_ Data Preparation and Understanding_**

Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.

**_ Modeling and Statistical Analysis_**

Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.

**_ Evaluation_**

Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.

**_ Industry and Research Knowledge/Opportunity Identification_**

Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.

**_ Coding and Debugging_**

Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as k, Databricks, CI/CD, Docker, Delta Lake, MLflow, Azure Machine Learning, and REST API consumption/development.

**_ Business Management_**

**_ Customer/Partner Orientation_**

Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from seni