Hands-on development and leading cross-functional projects that include the creation of NLP assets to solve business problems and identify long-term opportunities with measurable outcomes
Partner with business stakeholders, asset owners, data scientists, and data engineers to support the vision and culture that treats science as a corporate asset
Advance the department’s capabilities by creating and deploying long-term tools to continually evolve the practice of natural language processing
Improve and follow standards for version control, documentation, software engineering, and statistical science standards for formal peer-review and production grade assets
Identify and communicate timelines for projects and highlight risks while suggesting mitigations to them
Requirements
Expertise with Python from a functional programming paradigm
Expertise in supervised learning and unsupervised learning along with experience in deep learning
Expertise developing models from inception to deployment
Experience monitoring models for statistical performance and business impact
Expertise with Bag-of-Words (BoW) type algorithms and auto-regressive/sequential type algorithms for statistical language modeling
Experience with embedding algorithms and pre-trained embedding models
Experience with topic modeling, text mining, sentiment analysis, information extraction
Experience with cloud computing platforms such as AWS
Expertise helping business users understand the importance of the above
Candidate must be authorized to work in the US without company sponsorship
Benefits
Other rewards may include short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.