Principal Data Scientist - CTJ - TS/SCI

Microsoft•Washington, DC

1d•$142,800 - $304,200

About The Position

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Candidates must be able to meet Microsoft, customer and/or government security screening requirements.
Candidates must have an active TS/SCI and be willing and eligible to upgrade to TS/SCI (with polygraph).
This role will require candidates to maintain the TS/SCI (with polygraph) clearance.
Ability to meet Microsoft, customer and/or government security screening requirements are required pre-offer and post-hire for this role.
This position requires successful verification of the stated security clearance to meet federal government customer requirements.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
This position requires verification of U.S. citizenship due to citizenship-based legal restrictions.
Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law.
To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance.

Nice To Haves

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Responsibilities

Oversee data acquisition and ensure data is properly formatted and described.
Coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
Evaluate team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.
Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices.
Write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities.
Commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities.
Embody our culture and values.