Data Scientist II, M365 Copilot

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$102,100–$202,200 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday
Closes
Mar 24, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $152k
$90k most similar roles pay here $214k

This role pays less than 60% of similar roles. Most pay $126,800–$191,562 — the shaded band above. At the midpoint, this role pays about $152k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 599 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 564 roles with salary data.

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At a glance

TL;DR · Data Scientist II, M365 Copilot

Data Scientist II, M365 Copilot joins the Microsoft Turing Team to develop core systems for Microsoft 365 Copilot Chat. This role focuses on advancing orchestrator reasoning, training next-generation models, and delivering model-driven features from concept to production. The successful candidate will build and deliver features involving model development, evaluation, metrics, and A/B testing while evolving the orchestrator to support multi-modality and agent-based systems. Day-to-day responsibilities include defining frameworks for evaluating complex large language model systems, experimenting with prompting approaches, and prototyping models in containerized environments like AI Azure Foundry and LangChain. The role also involves developing retrieval-augmented generation workflows and selecting data sources and generative models to ensure quality output. Key technical areas include deep learning, natural language processing, multi-modality models, and model optimization within the scope of enterprise productivity tools.

What does a Data Scientist earn?

Median $171650 from 280 postings across 62 companies.

See salary data

What you'll do

  • Build and deliver model-driven features from initial concept through production using A/B testing and evaluation metrics.
  • Evolve orchestrator systems to improve reasoning, speed, and multi-modality capabilities for agent-based systems.
  • Define metrics and frameworks for evaluating complex LLM systems and agentic product performance.
  • Experiment with different models and prompting approaches to optimize specific tasks within a product.
  • Prototype and develop AI models using containerized environments like Azure Foundry and LangChain.
  • Develop and deploy retrieval-augmented generation (RAG) workflows by selecting appropriate data sources and generative models.
  • Diagnose system issues and identify opportunities to improve performance within the LLM domain.

What we're looking for

  • Bachelor's degree in a quantitative field and 2+ years of data science experience or a Master's degree and 1+ year of experience.
  • A Doctorate in Data Science, Mathematics, Statistics, Economics, or a related field is accepted as a qualifying education.
  • Experience managing structured and unstructured data while applying statistical techniques and reporting results.
  • Ability to pass the Microsoft Cloud background check every two years.
  • Experience with deep learning, NLP, multimodality models, and model optimization (preferred).
  • Experience with advanced data science roles is preferred based on specific degree levels and years of experience (preferred).

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