| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$102,100–$202,200 / yr
Posted
48 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $152k
$86k most similar roles pay here $251k

This role pays less than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Join our Commerce – Platforms, Data, and Experiences (PDX) team as a Software Engineer II, where you will design and implement advanced analytics solutions using machine learning models to support commerce data platform initiatives. You’ll collaborate with cross-functional teams to define data requirements, conduct exploratory data analysis, and develop scalable ML solutions that enhance decision-making and customer experiences. Key responsibilities include building predictive models, ensuring model operability and scalability, developing dashboards for insights communication, and leading experimentation efforts. Preferred qualifications are a degree in Computer Science or related field, 2+ years of experience in data science or applied machine learning, proficiency in Python, SQL, ML frameworks like Scikit-learn and TensorFlow, and expertise with cloud platforms such as Azure and big data technologies.

What you'll do

  • Design and implement advanced analytics solutions using machine learning models for commerce data initiatives.
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets.
  • Develop scalable and performant predictive models that are easy to retrain and operate.
  • Lead experimentation efforts to evaluate new features, forecasting systems, and anomaly detection technologies.
  • Build visualizations and dashboards to communicate insights effectively to stakeholders.
  • Create extensible solutions using LLM models to boost productivity across the commerce organization.

What we're looking for

  • 2+ years of experience in data science, analytics, or applied machine learning.
  • Proficiency in Python, SQL, and ML frameworks like Scikit-learn, TensorFlow, PyTorch.
  • Experience with cloud platforms (preferably Azure) and big data technologies.
  • Strong understanding of statistical modeling, predictive analytics, and experimentation design.
  • Ability to develop scalable, extensible, and performant machine learning models.

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