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Company

Original Job Post

Microsoft · 3 days ago

Principal Applied Sciences Manager

Maryland, United States

Full-time

Onsite

Senior Level

$138K/yr - $267K/yr

6+ years exp

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Data ManagementDeveloper Tools

H1B Sponsorship

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Responsibilities

People Management

Model Microsoft values and actively drive team culture improvements.

Connect business objectives with the right talent on the team. Help the team set clear goals and adapt when the business or environmental factors change course.

Attract and retain great people; Know each individual’s capabilities and aspirations and invest in their growth. Strategy and Innovation.

Execute, evolve and champion the strategic vision for how we leverage AI to improve product effectiveness to meet business goals.

Cultivate relationships between yourself and your team across the organization to influence the adoption of innovative solutions that deliver business impact. Operational Excellence

Help team members align work with business goals, experimentation results, work in progress and completed.

Communicate status and tracking of team plans.

Hold team members accountable for model quality monitoring, root cause analysis, and implementation of fixes, process or documentation improvements based on learnings.

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.

StatisticsEconometricsComputer ScienceElectrical EngineeringComputer EngineeringData ScienceMachine LearningLarge-Scale ComputingPeople ManagementFraud/securityGenerative AICOGS efficiencyProduct teams collaborationInnovation representationBusiness problem translationOrganizational impact deliveryCulture influenceTalent attractionAgile environment workProblem-solvingCollaborationInfluenceAgile work

Required

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience

1+ year(s) people management experience

3+ years combined experience in data science and/or engineering - demonstrating foundational knowledge of both data science and ML (Machine Learning) operations

3+ years experience in shipping and supporting large-scale computing data science products, features, or content

Preferred

3+ years experience with fraud/security

Experience designing and executing on secure initiatives for ML (Machine Learning) Ops (Operations) and research tooling

Experience with developing generative AI (Artificial Intelligence) in a COGS (Cost of Goods Sold) efficient manner

Experience working across multiple product teams to deliver combined innovations and features

Experience representing innovative work across the greater organization and/or the industry

Experience translating complex business problems into prioritized, results-driven team objectives

Able to deliver impact through collaborative work across organizational boundaries

Able to positively influence organizational culture and attract and retain great people

Able to work in an agile environment balancing committed work with emerging innovative solutions

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

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (5862)

2022 (11005)

2021 (8174)

2020 (6856)