Applied Scientist 2

Responsibilities

1. You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
2. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
3. You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
4. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

1. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics predictive analytics, research)
2. OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
3. OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
4. OR equivalent experience.
5. 2+ years of working in an AI research facility or working with software services / experiences infused with AI.
6. Solid customer focus and passion for doing the right thing for the customer.
7. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.
8. Excellent communication skills and cross group collaboration.
9. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques.
10. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus.

Preferred Qualifications:

1. Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
2. OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
3. OR equivalent experience.