Company: Providence is one of the largest not-for-profit health systems in the United States.
At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone—regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.
The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team. We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.
DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations on how to conceive, engineer and launch effective health care solutions
Recently funded DIG startups include DexCare and Xealth.
We require your expertise and passion to bring our next set of products to life. We are currently in the initial stages of incubating ideas related to virtual health assistants including triage, symptom pursuit and care navigation using ML and NLP. Additionally, we are pursuing personalized digital engagement for wellness. Success means you will have the opportunity to join future startups on the ground floor.
This is a remote work opportunity in Canada with occasional travel expected to Vancouver BC or Seattle WA.
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SUMMARY
This is a vital role for the Digital Innovation Group at Providence and reports to the Sr. Software Engineering Manager.
As a Chatbot Data Analyst, the main duties will involve working on existing and new Natural Language models and data sets that will then be used in our virtual health assistants. This Chatbot Data Analyst will have the opportunity to be trained to use their strategic skills to map domains, plan the classification of NLU (Natural Language Understanding) models and build efficient conversational flows. Once the NLU models are in production, this individual will monitor and analyze the performance of these models. This individual will also identify anomalies, issues, and areas for improvement, then plan and drive to implement these changes.
ESSENTIAL FUNCTIONS:
In this position you:
Build conversational NLU models and training data sets
Proactively work with product owners and SMEs to understand the product domain and features in a data driven way, by reviewing customers utterances, telemetry, and other data sources
Map out the conversational domain and work with designers to develop the dialog flows for smart assistants and NLU/NLP products/features
Generate the required intents and entities within domain to support a conversational flow
Build the required models to classify the required intents and identify the needed entities
Critically analyze data to generate effective training data sets to build and support new NLU/NLP models
Bring a growth mindset and wealth of past experiences to a rapidly growing and fast paced team
Ride the crest of innovation in the NLU/NLP space, and work with the team to develop infrastructure and models for understanding complex problems in the smart assistant space. Contextual awareness, multi-language translation, and more
Data analysis and insight
Establish performance benchmarks, metrics, dashboards and reports to communicate model performance
Oversee and automate NLU/NLP model performance monitoring and identify anomalies and trends
Apply analytical skills and work with product owners and SMEs to identify missing areas or gaps in conversational domain coverage
EXPERIENCE:
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Mathematics or other related scientific or engineering fields.
6 years’ experience delivering NLU/NLP or machine learning models in a production setting.
Demonstrated success with taking theoretical/mathematical models in the NLU/NLP/AI space to effectively engineered full scale production systems
Experience working with Agile processes and distributed product teams.
Demonstrated success incubating projects or models in the ML/AI/NLP/NLU space to full scale production systems.
6 years’ experience with polyglot programming in a variety of programming languages including (but not limited to) NodeJS, Python, R, Golang, command line scripting like bash and awk.
Knowledge in building highly performant NLP/NLU models, and data pipelines
Collaboration within a global environment--in-country and international teams.
Excellent communication and presentation skills with success in effectively communicating at all levels of an organization.
To apply: Please email resume to Raymond@gorecruitment.com or call me at 778-869-9268 for more info.