Senior Data and Applied Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science
In short
Microsoft's Commercial Business & AI team seeks a Senior Data and Applied Scientist to drive AI innovation and model development for Dynamics 365 applications. You will leverage advanced analytics, statistical modeling, and GenAI tools to uncover insights, deliver solutions, and impact Microsoft's sales, marketing, and support platforms.
Responsibilities
- Understand business needs and formulate them into manageable problems with measurable objectives.
- Define success metrics, apply/create methods and algorithms, and deliver statistically valid results.
- Write robust, reusable, and extensible code for analysis and modeling.
- Develop new ML or GenAI based models using advanced statistical and ML techniques.
- Lead the evaluation of GenAI solutions, diagnose issues, and identify root causes for fine-tuning.
- Utilize AI-powered tools to accelerate coding and analysis.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in a related field AND 3+ years data-science experience OR Bachelor's Degree in a related field AND 5+ years data-science experience OR equivalent experience.
- Experience managing structured and unstructured data, applying statistical techniques, and reporting results.
Desired Qualifications
- 4+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling.
- Experience driving product improvements through data and insights.
- Experience in Python, R, SQL, KQL, PySpark, and modern analytics frameworks.
- Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights.
- Experience with learning platforms and/or learner competency and skill modeling.
- Experience leveraging AI to accelerate time to insight and depth of insights.
- Experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake).
- Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
Benefits
- Opportunity to collaborate with diverse teams of data scientists, engineers, and product managers.
- Deepen expertise in the evolving AI and ML landscape.
- Drive impact for thousands of Microsoft sales, marketing and support platform users.
- Competitive base pay range (USD $119,800 - $234,700 nationwide, higher in SF/NYC areas).
- Eligibility for additional benefits and compensation.
#AI#Machine Learning#GenAI#Data Science#Analytics#Statistics#Modeling#Experimentation#Azure
Company
Microsoft
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
United States
Qualification
Doctoral, Master, Bachelor
Applicants
Be an early applicant