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Microsoft

Senior Data Scientist

Australia, New South Wales, Sydney, Victoria, Melbourne, Queensland, Brisbane, Australian Capital Territory, CanberraSenior individual contributorData & Analytics

Listed on Microsoft’s official careers site. Posted July 20, 2026. Check that it is still open and apply there.

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Job description

You will acquire the data necessary for your project plan and develop usable data sets for modeling. You'll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team's models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.

You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will 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. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.

You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. You will embody our culture and values. Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results OR equivalent experience.

Enjoy travel and are comfortable with travel up to 25%

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