Are you interested in a start-up like environment, Cloud Computing technology, and driving growth in one of Microsoft’s core businesses? Do you aspire to be part of a team relentlessly focused on customer needs, market expansion and advancing Microsoft Cloud’s first strategy? If yes, look no further than the Azure Global Team.
We offer engaging and motivating work where you’ll be empowered to make an impact. You will have the independence and hybrid working flexibility you need. An astute and diverse work culture is at the core of our team and broader group. We are an international team, dedicate to life-long learning, that believe in data-based decision making to identify and solve problems. We take a holistic approach to problem solving and are trusted believers of collaborations to harness our diverse experience, and capabilities to deliver impact.
Customers and analysts recognize Azure’s tremendous momentum which continues month over month. To help customers achieve their goals, Azure continues to build the largest global footprint of any Cloud provider. The Azure Global Long-Range Planning Data Science team delivers Microsoft’s Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence. We are hiring an exceptional Data and Applied Scientist to focus on creating cutting edge econometric/ Machine Learning demand and capacity need models with focus on Microsoft SaaS (Software as a Service) offerings. This position will focus specifically on the graphics processing unit (GPU) forecasting to support the Artificial Intelligence (AI) needs for Microsoft and OpenAI. Additionally, they will have to be able to leverage their software engineering skills to connect to various upstream and downstream systems ensuring the forecasting plan matches the execution.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities:
Your responsibilties will include:
Bringing the State of the Art to Products
- Participates in collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact. Participates in technology transfer attempts, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.
- Collaborates with and bridges the gap between researchers (in community, Microsoft Research [MSR], or in their own organizations) and development teams. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs.
- With limited guidance from others, works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service. Solves components or aspects of a problem as assigned by a trusted team member. May publish research to promote receiving new intellectual property for product impact.
Leveraging Applied Research
- Gains expertise in one or more subareas of research (e.g., Object Recognition, Text Classification), gains understanding of a broad area of research (e.g., Machine Learning, Natural Language Processing, Computer Vision, Statistical Modeling, Data-Driven Insights), and understands the corresponding literature and applicable research techniques. Uses understanding of approaches to identify techniques and seeks feedback from team members.
- Gains deep knowledge in a service, platform, or domain and acquires knowledge of changes in industry trends and advances in applied technologies. Consults with engineers and product teams to apply advanced concepts to product needs. Learns product domain by reviewing products.
- Applies strategy by understanding the role in the team and applying the strategy provided by team members and incorporates state-of-the-art research. Asks probing questions to better understand strategy.
- Researches and develops an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. Contributes knowledge around several specialized tools/methods to support the application of business impact or serves as a dependable resource in a deeply specialized area.
Capability Management and Networking
- Reinforces a positive environment by applying best practices. May support mentorship by assisting with onboarding of research interns or other entry-level team members, if applicable.
- Maintains ties with external network of peers and identifies prospective talent, when asked. May contribute to publications on research findings. May participate in candidate interviews. Collaborates with the academic community to develop the recruiting pipeline and establish awareness of their work.
Documentation
- Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Participates in the creation of informal documentation and may share findings to promote innovation within group.
Ethics and Privacy
- Understands and follows ethics and privacy policies when executing research processes and/or collecting data/information.
Specialty Responsibilities
- Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a trusted team member. Seeks guidance from trusted team members when confronted with problems/challenges.*
- Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.*
- Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of trusted team members.*
- Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a reliable team member.*
- Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a trusted team member. Addresses models when that break, under the direction of others.*
Other
- Embody our culture and values
*Note. It was determined that requirements differed among employees in the Machine Learning specialization/role. These differences are noted where relevan
Qualifications:
Required/Minimum Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
Other Requirements:
These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Additional/Preferred Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $94,300 – $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 – $198,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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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