Job Description

As part of the Cloud Supply Chain Sustainability (CSCS) team in Azure, we are at the heart of Microsoft\xe2\x80\x99s cloud strategy. This new team is eager to deliver a sustainability platform for our customers & partners by combining science-based approach to climate change with strong engineering culture of delivering platforms and services on Azure using the latest technologies in machine learning, the Internet of Things.


The candidate will be responsible for delivering sustainability data platform that spans structured, unstructured data from heterogenous sources, analytics, insights and recommendations on Azure-hosted cloud services and mobile devices with enterprise scale and security that organizations have come to expect from Microsoft.


This is an opportunity to work on a large technology stack, in an open and diverse environment, tackling big and complex challenges, and collaborating with a variety of partners and stakeholders to define the future of sustainability solutions.


The team has won many awards and patents and will be spurring the next set of innovations.


Perseverance is an essential attribute for the candidate to be successful in this team. You will be delivering results through innovation and persistence when similar candidates would have given up.

Responsibilities

• Lead and Scope out large quantitative projects and translate it into a machine learning problem and think of optimal ways of solving it. Outline alternative approaches and identify pros, cons, risks and provide recommended approaches.
• Identify data sources, integrate multiple sources or types of data, apply expertise within a data source to develop methods to compensate for limitations and extend the applicability of data
• Transform formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors
• Use broad knowledge of Machine Learning and Deep Learning innovative methods, algorithms, and tools from within Microsoft and from the scientific literature, and apply your own analysis of scalability and applicability to the formulated problem
• Interpret data and communicate in a clear and lucid way to a wide variety of audiences
• Validate, monitor, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
• Mentor early-in-career teammates and establish high standards in both data science and engineering excellence.
• Keep up to speed with the current academic and industry advances in machine learning techniques, experiment with their application to improve our ML models.
• Work in collaboration with teammates to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency.

Qualifications

Required Qualifications:

• 
  8+ years of professional experience in the software industry
• 6+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, and related areas.
• 3+ years\xe2\x80\x99 experience in building data pipelines using cloud computing like Azure SQL database, Kusto, Azure ML, Azure Key Vault, Azure Storage or similar.
• Experience in Python, PySpark, SQL, and Kusto
• Experience in creating APIs, deploying to production (SW engineering experience)
• Theoretical background in statistics, machine learning, and algorithms.
• Experience with state of the libraries to build ML models.
• Attention to detail with self-discipline and a drive for results.
• Demonstrated ability to work in ambiguous situations and across organizational boundaries.
• Bachelors or master\xe2\x80\x99s degree in Computer Science or related fields
• Bachelors or master\xe2\x80\x99s degree in Computer Science or related fields
• 4+ years professional experience in Machine Learning
• 2+ years professional experience in Software Development, delivering services in the cloud

Preferred Qualifications:

• 
  Experience in developing using Azure ML, Azure SQL database, Azure Analysis Services, Azure Data Factory, Power BI or similar.
• Experience in Azure Synapse, Databricks, Azure Data Lake V2, Azure Purview
• Experience in Graph databases
• Experience in big data platforms

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


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. 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.