Microsoft Senior Data Scientist 

United States, California, San Francisco 

650078786

Required Qualifications

• 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)
  • OR equivalent experience.

Preferred Qualifications

• Proficient in Python with experience in Pandas, Scikit-learn, and the Python ML stack; strong coding skills for developing and maintaining machine learning models.
• Proficient in additional programming languages such as C#, Java, and C/C++.
• Skilled in building and maintaining models in various domains, including computer vision, forecasting, recommendation systems, and NLP.
• Experienced with agile development practices and Git version control.
• Familiar with deep learning frameworks like TensorFlow or PyTorch; experience with GenAI/LLMs is a plus.
• Experienced in the operational aspects of machine learning, including deployment, monitoring, and continuous integration of ML models.
• 3 + years of experience working with customers.
• Expertise in domains such as financial services, retail, marketing, healthcare, manufacturing, media, or telecommunications.
• Effective at communicating technical models in business and technical contexts.
• Comfortable with regional travel up to 25%.
• Familiarity with Spark, SQL, Graph stores, or NoSQL stores is helpful.
• MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or an equivalent technical field.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Business Understanding and Impact

• Leads data-driven projects with business acumen and data science expertise.

Data Preparation and Understanding

• Manages data collection and preparation for projects.

Modeling and Statistical Analysis

• Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks. Writes scripts in various languages and understands Microsoft AI and ML tools. Designs experiments and operationalizes models at scale. Coaches junior engineers on best practices.

Evaluation

• Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.

Industry and Research Knowledge/Opportunity Identification

• Provides feedback, coaching, and support to engineering team and other teams based on business knowledge, technical expertise, and industry trends.

Coding and Debugging

• Demonstrates excellent coding and debugging skills across multiple features/solutions.

Business Management

• Drives business value by collaborating with stakeholders and improving solutions.

Customer/Partner Orientation

• Delivers customer-oriented solutions and builds trust with Microsoft products.