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Microsoft Corporation Data Scientist, Office of the CTO, Data & AI Domain, Microsoft Services in Cambridge, Massachusetts

Artificial Intelligence (AI) is changing the world and the human experience. Would you like to be a part of the team that is making that happen? AI is a crucial part of Microsoft’s bold mission to empower every person and every organization on the planet to achieve more.

Microsoft Services is looking for a “Data Scientist, Office of the CTO, Data & AI Domain ” who has a mix of advanced technology, customer and strategic business acumen. This role requires the ability to chartered to lead the analytic journey for complex customer programs, deliver using the latest technology, and create an effective and collaborative community of Data Scientists in Microsoft Services. The role is responsible for supporting the Data & AI delivery organization by driving global strategies, predictability, repeatability, consistency, readiness and quality.

About our team:

The Data and AI CTO team is a group of individuals from all over the world who are dedicated to organizational excellence.

  • We are team-focused and individuals on our team have dependencies on other team members, which allows us to move quickly. We collaborate within the team of information architects, business architects and data scientists. We collaborate across Microsoft with delivery consultants, sales teams, product teams, and Microsoft research.

  • We are a dialogue-based team. We value the opinions of everyone at the table and the voices that they represent. We expect those on the team to contribute to the conversation freely and as they feel led to.

  • We work openly. We find that “working in the open” allows us to learn from one another

Responsibilities

Ways to have impact in this role:

Data & AI Strategy, Architecture and Data Science:

  • Lead worldwide strategies for Artificial Intelligence and hybrid cloud data platform technologies by innovating and incubating emerging technologies from the Microsoft engineering teams to real world repeatable customer solutions.

  • Identifying market solutions, gaps and best practices worldwide and developing a unified, modern portfolio of solutions joining Microsoft strategy and customer success

  • Supporting and advising selling and engagement teams to follow a consistent data science methodology, approach and technical strategy for the Microsoft Data & AI space.

  • Monitoring engagements for data science pattern reuse, methodology and algorithm improvement, risk reduction and quality.

  • Become SMEs with technical experience and knowledge of the Microsoft Azure AI and Data Platform including SQL Server, Azure SQL, DataBricks, CosmosDB, Business Intelligence, Advanced Analytics, Machine Learning, Cognitive Services, IOT and PowerBI across all solution scenarios and industries.

Data Science and Professional Services Leadership:

  • An ability to quickly gain customer confidence and trust while competing for market share of the Microsoft platform and Microsoft Services as a trusted advisor

  • Demonstrated excellence at presenting complex technical and business topics to both executive and technical personnel

  • An ability to articulate differences between data science solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different patterns and techniques that may be used by our customers. Confidence to make recommendations and support them.

Qualifications

Basic Qualifications:

  • 3+ years of technology consulting experience

  • 5+ Years of Data Science experience in an academic research or corporate capacity

  • Masters’ degree or above in ML, Mathematics or Statistics or a related quantitative application. We find people with applied experience in a field with very large and complex data sets such as Biology, Physics, or Social Sciences do well.

  • Strong experience with Data and Artificial Intelligence technologies – Microsoft or other.

  • Experience in advanced analytics, machine learning and complementary data platforms

  • Experience with at least one of the ML related technologies: SAS, SPSS, RevR, Azure ML, MapR, etc.

  • Working knowledge of emerging domains such as CNTK, TensorFlow, deep learning, and/or distributed analytics at the edge.

  • Experience in data preparation with industry standard tools such as R and Python and with Visualization tools such as SAP, QlikView, PowerBI, etc.

  • Languages – one or more: R, Java, Python, F#, C#

  • Analytical tools, languages, or libraries, one or more: SAS, SPSS, R, Mahout, etc.

  • Demonstrated leadership in operationalizing and continuous deployment workflow and methodology supporting the need to move systems into production and support.

  • Demonstrated leadership in mentoring and training other Data Scientists

  • Demonstrated track record of effective communication with technical and business leaders at all levels and across the organizations (business, products, sales, etc.) within large enterprises

  • Exceptional demonstrated professional services and architecture skills

Preferred Qualifications:

  • A Ph.D. is strongly preferred.

  • Advanced technical solution selling and customer skills

  • Track record of collaboration and working on virtual and matrixed teams.

  • Understanding of Agile methodologies, with full delivery lifecycle experience from pre-sales to support/operations on complex projects

  • Proven ability to transfer industry and market knowledge to new market opportunities and strategies.

  • Global experience across several markets preferred; specific experience in applicable time zone

Location/Travel – You may be based anywhere in the United States, near a major international airport. Travel is an integral part of this position. Travel can be as high as 50% as is demanded by the needs of our customers and our business.

Microsoft Services

Microsoft Services consists of 16,000 professionals worldwide, dedicated to empowering every person and every organization on the planet to achieve more. We help companies realize the possibilities in a world where cloud and artificial intelligence can transform businesses and industries.

For more information, visit www.microsoft.com/Services.

Join us and be one who empowers billions! That’s incredible reach. When you combine that with your own inspiration, plus the freedom and support to make your ideas happen, you can make a huge impact on how people work and live all over the world.

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. We 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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