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Company

Original Job Post

Microsoft · 1 week ago

Principal Data Science Manager

San Francisco, CA

Full-time

Hybrid

Senior Level

$162K/yr - $286K/yr

8+ years exp

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Responsibilities

People Management - Managers deliver success through empowerment and accountability by modeling, coaching, and caring.

Business Understanding and Impact - Lead data-science projects or teams to align with business needs and deliver value.

Data Preparation and Understanding - Lead data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modeling and Statistical Analysis - Develop and apply ML frameworks and best practices for scalable and ethical AI solutions.

Evaluation - Oversee review of data analysis and modeling techniques. Ensure selected modeling techniques are appropriate and aligned with desired project outcomes. Decide on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification - Provide feedback, drive improvement, and share knowledge as a data science expert.

Business Management - Lead ML and data-science partnerships and IP improvements where applicable.

Customer/Partner Orientation - Provide customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.

Embody our culture and values

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMathematicsStatisticsEconometricsEconomicsOperations ResearchComputer ScienceStructured DataUnstructured DataStatistical TechniquesReporting ResultsPeople ManagementTeam BuildingC++C#PythonML frameworksPytorchTensorflowMicrosoft AzureAI deploymentsML OpsFM OpsData protectionIPExplainabilityBiasSafetyGlobal project deliveryInternational business development

Required

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR equivalent experience

5+ years people-management experience, with a track record of building and developing successful data science teams

Preferred

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR equivalent experience

10+ years professional experience developing in C++, C#, or Python

Experience with ML frameworks (Pytorch, Tensorflow, etc.)

Previous experience with Microsoft Azure

Experience with practical issues around AI deployments, including hardware (client and server), software (AI frameworks, MLOps and FMOps), data (data protection, privacy, sovereignty); and legal/regulatory (IP, explainability, bias, and safety)

12+ years customer-facing, global project-delivery experience, including exposure to international business development and complex partnership structures, demand-generation concepts, and presales

Demonstrated current or recent coding, debugging, and engineering skills in programming languages such as C++ , C# or Python

Expertise in deep learning and generative AI models with hands-on experience applying them in real-world scenarios

Knowledge of advancements and emerging research in foundation models, including large language models (LLMs)

Self-motivated, team-player, good communicator, embrace challenges, and keen to learn

Good oral and written communication skills, with particular emphasis on customers and senior stakeholders

Benefits

Benefits and other compensation information available at: https://careers.microsoft.com/us/en/us-corporate-pay

Company

Microsoft

Glassdoor

4.3

Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

Founded in 1975

Redmond, Washington, USA

10,001+ employees

https://www.microsoft.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (5862)

2022 (11005)

2021 (8174)

2020 (6856)