Senior Data Scientist

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. As a part of ISE, at the AI Acceleration Studio we work closely with executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work closely with our customers through collaborative innovation to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.

We are hiring a Senior Data Scientist with deep expertise in machine learning and AI and experience in developing production quality solutions which deliver a huge business impact. As part of our team, you will be working with engineers, designers, and data scientists to apply your skills, perspectives, and creativity to trailblaze new ground and build first-of-a-kind AI solutions. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Business Understanding and Impact

• Leads or supports data-science projects or teams to align with business needs and deliver value.  
• Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated. 
• Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers.  

 Data Preparation and Understanding

• Contributes and when necessary, leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

 Modeling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.  
• Has deep mathematical understanding of statistics and machine learning 
• Incorporates best practices for ML modeling with consideration for artificial intelligence (AI) ethics.   

Evaluation

• Review, supports and provides best practices for data analysis and modeling techniques.  
• Ensures selected modeling techniques are appropriate and align with desired project outcomes.  
• Decide on the next steps (e.g., deployment, further iterations, new projects).  

 Industry and Research Knowledge/Opportunity Identification

• Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities.
• Develops a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts.
• Applies expertise to mitigate technical customer escalations.  

Coding and Debugging

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