Senior Data & Applied Scientist Manager 1043 views

Their team is looking for a Data Science / Machine Learning / Artificial Intelligence Leader to help them grow the next generation of Microsoft talent and, build amazing AI-enabled experiences for their customers.

In this role, you’ll guide their efforts by leading their data scientists and machine learning (ML) engineers, working with their partners to identify and build strategic examples of AI innovation, and delivering a framework for integration of their modules into Microsoft’s AI Platform. As a senior engineering leader on their team, you will shape their program’s development life cycle and establish best practices. You’ll also help hire and nurture their incredibly talented and diverse team.

They embrace a culture that is customer-focused, collaborative, fun-loving and iterative—one that delivers continuously and drives engineering excellence.

If you are a data scientist who is passionate about developing people and looking to have a huge impact at Microsoft in AI, this could be your ideal role.

Responsibilities

• Recruit and lead a group of new-to-career data and applied ML scientists focused on advancing Microsoft’s AI capabilities by working on projects sourced from product teams across the company.
• Partner with multiple engineering and business partners to ensure that the solutions meet their business goals.
• Create an inclusive work environment where every employee can effectively engage and wants to be part of the team. Provide ongoing feedback that helps your direct reports improve their performance.
• Partner with multiple engineering and business partners to ensure that the solutions meet their business goals.
• Transform business problems into project-based implementation plans by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and by statistically validating the results against biases and errors.
• Acquire and use broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature. Apply your own analysis of scalability and applicability to the problem space.
• Together with the engineering and PM leaders on the team, deliver the framework for abstraction and reuse of their AI modules for integration into the AI platform.
• Around 10% travel expected to stakeholder locations.

Qualifications

Basic Qualifications:

• 5+ years of experience as a practicing Data Scientist.
• 2+ years of experience as a technical lead, including mentoring and growing junior data and applied ML scientists.

Preferred Qualifications

• MS or Ph.D. in Artificial Intelligence, Machine Learning, Statistics, or a related field or equivalent on-the-job experience.
• An ideal candidate will also have published work at top AI/ML conferences and journals.

Requirements

These requirements include, but are not limited to the following specialized security screenings

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. They also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.