Job description

Never before have information, analytics, and artificial intelligence been so important to business success. That momentum is matched with Microsoft’s industry leadership and investment in empowering business transformation.For Microsoft, the Services organization leads delivery of leading edge solutions in Data and AI and this role, Lead Data Scientist, is a leadership role supporting key projects and customers on their transformation strategy.In a nutshell, this job is part of a small world-wide team of experienced Data Scientists 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.As AI transforms business and customers embed more and more analytics into workflow, this role is far more ‘innovate and incubate’ on behalf of customer’s interests’ than steady state. It requires agility, scientific thinking, and a wealth of curiosity. This is truly a chance to shape an industry.ResponsibilitiesThe term ‘lead’ applies to four basic elements of the role. These are relentless customer-driven focus on business outcomes, collaboration, rock solid solutions that scale, and driving the success of other Data Scientists. You will be measured on outcomes, not hours, in those four areas.We win and deliver projects and programs that are part of business transformation. It may be a deep neural net, advice on how the customer should establish and organize their DS team, or charting their analytic roadmap. This drives revenue. These are significant projects with customers that consistently push the edge of scalability, architecture, delivery pace, and business value.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. What you share, how you leverage the work of others, and how you shape the careers and skills of others are all measurements of collaboration.Its is expected that part of delivery is distillation of emerging patterns that can then be scaled worldwide. It is also expected you will be the eyes and ears for teams, such as the product teams and executives, that rely on candid feedback regarding new scenarios.QualificationsRequired Qualificaions:

  • 5+ years’ experience with at least one of the Machine Learning related technologies such as Azure Machine Learning, MLlib, H20, Scikit-learn, Various R Packages.
  • Hands on experience with data prep and analysis.

The Lead Data Scientist should have training and/or skills in the following:

  • Master degree or above in Machine Learning or Statistics or a related quantitative application. A Ph.D. is strongly preferred. Someone with applied experience with very large and complex data sets such as Biology, Physics, or Social Sciences traditionally do well within this role.
  • Preferred experience with at least one of the Machine Learning related technologies (SAS, SPSS, RevR, Azure ML, MapR).
  • Demonstrated leadership in DS overall workflow and methodology supporting the need to move systems into production and support.
  • Demonstrated leadership in mentoring and training other Data Scientists.
  • Working knowledge of emerging domains such as CNTK, deep learning, and distributed analytics on edge.
  • Experience in data prep with industry standard tools like R, Python, etc. and with Visualization tools ( SAP, QlikView, PowerBI, etc.).
  • Languages: R, Java, Python, F#, C#.
  • Analytical tools, languages, or libraries: SAS, SPSS, R, Mahout.

Additionally, experience in any of the following will be considered favorably:

  • Familiarity with AWS or the Microsoft Azure platforms is a plus
  • Familiar with map reduce framework, and parallel/distributed
  • Processing such as Hadoop/Spark/Dryad/Scope

Location and TravelYou will work from your home or Microsoft office close to a major city/airport. Travel is an integral part of the job and is approximately 40%, mostly in the region with some worldwide.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.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.