Are you passionate about applying cutting edge NLP technology to solve big problems? Are you interested in driving data-based decisions to tackle strategic challenges? We are looking for someone to do just that in the context of Microsoft’s biggest asset - our people.

Microsoft’s People Analytics team, HRBI, is seeking a Senior Data & Applied Scientist with experience leveraging natural language processing (NLP) techniques to create scalable, impactful insights from unstructured data. A well-qualified candidate is highly technical and possesses the patience and persistence needed to see complex problems through to resolution.

Location: Redmond, WA preferred. Open to candidates located in the Pacific Time Zone. 

Responsibilities

Responsibilities

• Build, maintain, and improve end-to-end NLP-based pipelines and solutions that deliver insights at scale from unstructured text data.
• Serve as a subject matter expert on the analysis of unstructured data, partnering with others to apply and leverage this skillset to guide data-driven decision making.
• Partner with HR analysts, clients, platform developers, product teams, and researchers to understand needs and opportunities, and design and build various deep learning NLP models for people analytics at scale.
• Occasionally support high priority ad hoc requests from company and HR leadership.
• Passion for innovation and discovering new insights into people analytics leveraging advanced NLP techniques.
• Self-directed learner in the ever-advancing space of text analytics, team player, and strong collaboration skills

Qualifications

Required/Minimum Qualifications 

• Masters in Computational Linguistics, Computer Science, Mathematics, or Statistics AND 3+ years of hands-on experience with NLP-focused machine learning and deep learning techniques OR PhD (focused on NLP) in Computational Linguistics, Computer Science, Mathematics, or Statistics AND 1+ years of industry experience in data science role 

• 1+ years of experience in Python and at least one of deep learning frameworks, e.g. TensorFlow, PyTorch 
• 1+ years of experience in Machine Learning Operation (MLOps) and productionization of ML systems 

Additional or Preferred Qualifications 

• Familiarity with Azure Resources such as Azure Machine Learning, Azure DevOps, Azure Data Factory, and Microsoft Cognitive Toolkit (CNTK) 
• Experience in Machine Learning, Deep learning, Sequence Models, Transfer Learning, and Transformers (BERT, etc.) on large volume of text data 
• Experience in SQL, DataBricks, and Spark 

  

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

  

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. 

  

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.