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Job Details
Posted date: Jan 29, 2026
Category: Data Science
Location: Multiple Locations, Multiple Locations
Employment type: Full-Time
Travel amount: 50.0%
Work location type: 0 days / week in-office – remote
Role: Individual Contributor
Description
OverviewDo you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. Driving early-stage deliveries, enhances ISD’s technical capabilities, and partnering with others to develop approaches, innovative solutions, and engineering standards in order to set our sales and delivery teams up for success. We provide consistent high-quality customer experience through technical and AI leadership and IP capture centred on delivery truth.
Responsibilities
Engage stakeholders to understand business drivers and confidently communicate insights, recommendations, and tradeoffs
Partner with customers to translate complex business problems into data science solutions with clear objectives, assumptions, risks, and success criteria
Work closely with Solution Architects, Consultants, and Data Engineers who will source and prepare data from multiple systems.
Explore and evaluate data quality, integrity, and fitness for purpose, clearly explaining implications to customers.
Design and deliver machine learning solutions covering Generative AI, Agentic solutions, computer vision, speech processing, forecasting, NLP, classification, clustering, reinforcement learning and optimization.
Frame the problem appropriately; and select and apply appropriate algorithms, modelling techniques, and experimental methods to meet client and project requirements
Conduct statistical analysis and controlled experiments, translating findings into measurable business outcomes
Support model testing and validation using test and production data, incorporating customer feedback into improvements
Collaborate with engineering teams to deploy scalable, secure, and reliable models into customer environments
Manage customer expectations on scope, timelines, and outcomes, contributing to strong delivery experiences
Stay current with industry trends and contribute to thought leadership and reusable intellectual property
Qualifications
Required/Minimum Qualifications
Master’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and 7+ years of professional data science experience
or
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and 4+ years of professional data science experience
or
Equivalent practical experience demonstrated through long-term, hands-on delivery of data science solutions
Strong foundation in data science principles, including statistics, machine learning, and analytical modelling
Proven problem-solving skills with the ability to break down complex business and technical challenges
Handson experience developing and deploying machine learning and advanced AI solutions to production environments on public cloud platforms
Professional experience working with Generative AI solutions in production environments (beyond pilots or POC /proof of concepts)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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