Understand business problems and deliver complex, high-impact data science and AI solutions for strategic engagements.
Collaborate with stakeholders to define problems and translate them into actionable AI-driven solutions.
Develop project plans, assess risks, and ensure alignment with objectives and ethical AI principles.
Identify opportunities to leverage generative AI for business transformation and innovation.
Data preparation and modeling: acquire, clean, and prepare large datasets; build and deploy predictive and prescriptive models.

Jobs at Microsoft

66 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Microsoft is seeking a Data Scientist for a remote-only role in the United States. This position leads end-to-end data science and AI initiatives, partnering with customers and internal teams to design and implement advanced analytics that create measurable business impact. The role blends deep technical expertise with consulting and stakeholder engagement to influence decisions and drive data-driven adoption across organizations.

Responsibilities

Understand business problems and deliver complex, high-impact data science and AI solutions for strategic engagements.
Collaborate with stakeholders to define problems and translate them into actionable AI-driven solutions.
Develop project plans, assess risks, and ensure alignment with objectives and ethical AI principles.
Identify opportunities to leverage generative AI for business transformation and innovation.
Data preparation and modeling: acquire, clean, and prepare large datasets; build and deploy predictive and prescriptive models.
Design, develop, and integrate generative AI applications (text, image, multimodal) into client workflows and solutions.
Write efficient, maintainable code and ensure scalability for production environments.
Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
Present findings to senior stakeholders using storytelling and visualizations; simplify complex ML/AI concepts for diverse audiences.
Document best practices and share knowledge across teams.
Collaborate with internal teams and customers, promoti

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Key requirements

Understand business problems and deliver complex, high-impact data science and AI solutions for strategic engagements.
Collaborate with stakeholders to define problems and translate them into actionable AI-driven solutions.
Develop project plans, assess risks, and ensure alignment with objectives and ethical AI principles.
Identify opportunities to leverage generative AI for business transformation and innovation.
Data preparation and modeling: acquire, clean, and prepare large datasets; build and deploy predictive and prescriptive models.

Jobs at Microsoft

66 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Microsoft is seeking a Data Scientist for a remote-only role in the United States. This position leads end-to-end data science and AI initiatives, partnering with customers and internal teams to design and implement advanced analytics that create measurable business impact. The role blends deep technical expertise with consulting and stakeholder engagement to influence decisions and drive data-driven adoption across organizations.

Responsibilities

Understand business problems and deliver complex, high-impact data science and AI solutions for strategic engagements.
Collaborate with stakeholders to define problems and translate them into actionable AI-driven solutions.
Develop project plans, assess risks, and ensure alignment with objectives and ethical AI principles.
Identify opportunities to leverage generative AI for business transformation and innovation.
Data preparation and modeling: acquire, clean, and prepare large datasets; build and deploy predictive and prescriptive models.
Design, develop, and integrate generative AI applications (text, image, multimodal) into client workflows and solutions.
Write efficient, maintainable code and ensure scalability for production environments.
Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
Present findings to senior stakeholders using storytelling and visualizations; simplify complex ML/AI concepts for diverse audiences.
Document best practices and share knowledge across teams.
Collaborate with internal teams and customers, promoti

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Data Scientist

See how this role matches your resume

Sign in to get an AI match score and personalized feed.

Create account Sign in

More in Remote-first

Data Science Engineering Fintech Remote Europe Startups

Jobs at Microsoft

66 active roles from this employer in the JobMatcher catalog.

All company jobs

More in Remote-first

Data Science Engineering Fintech Remote Europe Startups

Jobs at Microsoft

66 active roles from this employer in the JobMatcher catalog.

All company jobs

More in Remote-first

Data Science Engineering Fintech Remote Europe Startups

Data Scientist

Data Scientist

Key requirements

Jobs at Microsoft

About the role

Responsibilities

Jobs like this

Key requirements

Jobs at Microsoft

About the role

Responsibilities

Jobs like this

Jobs at Microsoft

Jobs like this

Jobs at Microsoft

Jobs like this