Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- ORMaster'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
- ORBachelor'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)
- ORequivalent experience.
- Skilled in problem solving and programming (Python, C#); skilled with using big data tools and scripting languages (SQL, PySpark, KQL)
- 1+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems
- Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data.
- Proficient understanding ofLarge Language Models (LLMs)Agents, Prompt Engineering, Data Mining, and equivalent work experience
Preferred 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)
- ORMaster'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)
- 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.
- Experience with deep learning/LLMs applied to areas such as graph learning, IR, NLP, computer vision, etc., is preferred.
- Solid cross-group and interpersonal skills, with the ability to articulate solutions.
- Experience in government regulations, business compliance, business processes in enterprises, legal discovery, etc.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience in government regulations, business compliance, business processes in enterprises, legal discovery, etc.