Source-listed Job

Data Scientist II, M365 Copilot

Collaborates with immediate team members on defining metrics and frameworks for evaluating somewhat complex AI/large language model (LLM) systems and agentic product performance. Experiments with model before selection (e.g., LLM,...

Job Source description available
Microsoft Redmond, WA,US, US Source published Sep 25, 2026 Source retrieved Oct 22, 2026
Source: Microsoft Careers · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
Description from the source The source description is formatted below for discovery. The provider owns the original wording and may change its requirements or close applications.
Data Scientist II, M365 Copilot opportunity at Microsoft
DeadlineWed Mar 24 8:41 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Collaborates with immediate team members on defining metrics and frameworks for evaluating somewhat complex AI/large language model (LLM) systems and agentic product performance. Experiments with model before selection (e.g., LLM, prompting approach) for tasks within a product or solution Diagnose basic issues and identifies opportunities to drive improvements within AI/LLM systems within domain area. Prototypes and develops AI models using containerized environments (e.g., AI Azure Foundry, LangChain) to operationalize, build, and validate scalable tools/applications/solutions for use by the immediate team. Develops and deploys systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models to ensure quality output. Assists senior members in assessing and refining LLM systems and models. Bachelor's Degree i

Full job description

Full Job Description

Collaborates with immediate team members on defining metrics and frameworks for evaluating somewhat complex AI/large language model (LLM) systems and agentic product performance. Experiments with model before selection (e.g., LLM, prompting approach) for tasks within a product or solution Diagnose basic issues and identifies opportunities to drive improvements within AI/LLM systems within domain area. Prototypes and develops AI models using containerized environments (e.g., AI Azure Foundry, LangChain) to operationalize, build, and validate scalable tools/applications/solutions for use by the immediate team. Develops and deploys systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models to ensure quality output. Assists senior members in assessing and refining LLM systems and models. 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 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 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field These requirements include but are not limited to the following specialized security screenings: 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) 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 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 equivalent experience.

Tips for this job

Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.
Original authoritative source

JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Apply through JobOpportunity →

Browse current JobOpportunity listings from Microsoft Careers →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books