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Microsoft

Senior Data Science Engineer Microsoft
Redmond, WA

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About Microsoft

Job Description

Senior Data Engineer

The Data Center Critical Environment team is a team of highly skilled engineers focused on deriving insights from data, use existing Microsoft cloud services and products to optimize the Azure Data Center Operations. Our work spans generators, transformers, uninterruptible power supplies, air handling units, embedded systems, IIoT, machine-learning and more. We combine our data science work with business and engineering knowledge to provide autonomous optimization and predictive maintenance detection to our critical infrastructure space.

We are looking for a highly motivated and deeply skilled data engineer to apply a variety of methodologies to data to improve our business. Top candidates have a demonstrable record of using data to improve the world around them. We hire people with a desire to build great products and have great business impact using statistical analysis, experiments, data mining, data visualization, machine learning and more. We welcome applications from diverse multi-disciplinary backgrounds, with analytical skills, engineering abilities, communication skills, business interests, relentless curiosity, and a desire to improve the experiences of more than one billion customers.

Knowledge, experience and skills:

Knowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science

* Experience performing data analysis including applying statistics
* Proficiency using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments
* Excellent verbal and written communication skills with experience presenting to large and small audiences
* Ability to interact with peers and stakeholders to define and drive product and business impact
* Degree in in Computer Science, Statistics, Mathematics, Economics, or another quant-focused field
* Engineering experience using large data systems on SQL, Hadoop, Spark, etc.
* Proficiency using one or more programming or scripting language like Python, Scala, or C# to work with data
* Experience with product and service telemetry systems

Passion to learn world class techniques and tools

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.

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.

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

Job Description:

Our work is highly varied and offers a chance to focus on many different data science techniques and aspects of the Azure Data Center businesses and beyond. As a Data Scientist, you will need a mix of deep data science and broad consultative skills.

Key responsibilities:

* You will work with stakeholders to formulate approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
* You will use data exploration techniques to discover new opportunities within your problem area.
* You will interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
* You will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact millions of customers.
* You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

About Microsoft

Microsoft is a technology company that develops and supports software, services, and devices.

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Microsoft

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