Microsoft Data Scientist II 

United States, Washington 

91396751

. The DCIS leadership team deeply believes in Microsoft’s core values of Respect, Integrity & Accountability and each team member lives by Microsoft’s leadership principles to Create Clarity, Generate Energy & Deliver Success. Each of us is expected to model-coach-care with and for each other. 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.

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.

• This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.
• Relocation support will be provided, and successful candidates must ​relocate or reside within 50 miles of the hub office location.
• This role is eligible for hybrid or remote work, up to 100%.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience
• 2+ years of experience using statistical computing languages (R, Python, Julia, SQL, etc.) to manipulate data and draw insights from large data sets
• 2+ years of experience visualizing complex data in popular frameworks or platforms (such as ggplot, Matplotlib, Plotly, Bokeh, Altair, Power BI, Tableau, Grafana, etc.)

Other Requirements:

• 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.

Preferred Qualifications:

• Domain knowledge of datacenter operations, server repair, IT, and/or shop floor processes, and experience mining these processes to produce insights is preferred.
• Experience with advanced data visualization frameworks such as D3 or Observable Framework is a plus.
• Familiarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
• Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred.
• Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
• Experience working in an Agile/Scrum SDLC, preferably using Azure DevOps and GitHub.
• Proven interpersonal, analytical, communication, and presentation skills – the ability to communicate complex findings in a simple manner.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until July 29, 2024.

• Explore and analyze data to supply meaningful insights on a wide range of organizational processes.
• Communicate with technical and non-technical audiences and contribute modeling expertise as a team player.
• Partner with teams to identify and explore opportunities for the application of machine learning and predictive
• Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
• Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models.
• Bring relevant data into a central system to create a single version of the truth.
• Build and deploy visualizations that deliver insights to decision-makers at an array of levels, from executives to front-line staff.
• Mentor others and stay current with advances in the industry.
• Embody ourand