Microsoft Data Scientist II 

United States, Washington 

154218308

is responsible for

AI solutions and product offerings. This new productivity erathe power of data, AI, and productivity tools to deliver unmatched experiences across all channels.

As aData Scientist, explore, and develop AI/ML solutions that address their business requirements.

Required/Minimum Qualifications

· Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR equivalent experience.

Other Requirements

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirementsinclude, butto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications

· Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR equivalent experience.

• Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

As a Data Scientist II, you will

• Focus onparticular aspectsof our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models, and play a role in advancing product development through ongoing awareness of industry trends and technologies.

• objectives. Your role involves guiding the selection of data to address issues strategically,leveragingyourexpertiseto design, measure and build AI applications to drive tangible business results.

• Record ongoing work and experimental findings, sharing them to encourage innovation.

• Assess the effectiveness of models and collaborate with product teams to design AI-driven experiences.

• be involved in the onboarding process for new team members early in their careers, providing guidance and support as they join the team,and alsoassistingin coaching and mentoring other team members.

• Cultivate a supportive and inclusive team culture, offering technical guidance to fellow applied scientists and serving as a mentor.

· Embody our and