The Windows & Devices Connected Services & Experiences (W + D CSX) Data team is a team of highly skilled Data Scientists and Data Engineers focused on deriving insights from data to improve the quality of experiences across the devices and services Microsoft builds and runs. Our work spans Azure, PCs, Xbox, mobile devices, HoloLens, browsers, apps and more. We combine our data science work with business and engineering knowledge to provide unique insight into customer scenarios that are leading the data-driven culture within CSX.
We are looking for a highly motivated and deeply skilled data scientist to apply a variety of methodologies to data to improve our products and 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, machine learning, experiments, data mining, data visualization, 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.
Our work is highly varied and offers a chance to focus on many different data science techniques and aspects of the Windows & Azure businesses and beyond. As a Data Scientist, you will need a mix of deep data science and broad consultative skills.
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 build ML/Statistical models, 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.
2 years experience using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments
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 in building ML/Statistical models and performing data analysis including applying statistical methods
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
Masters/PhD degree in Computer Science, Statistics, Mathematics, Economics, Operations Research 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.