Company Name:-
Kaiser Permanente

Job Location:-
Atlanta, GA

Job Summary:-
The Search, Data Science & Analytics (SDA) team is looking for a Sr Data Scientist for query understanding and knowledge graph.

You will work with team members and cross functional partners and leverage machine learning, deep learning, NLP, graph algorithms and Big Data technologies (Spark, NoSQL databases, Distributed Real-time Systems), cloud platforms such as Azure ML, and general purpose & scripting languages such as Scala/Python/R to drive innovative and impactful Search, Recommender Systems and Personalization customer experiences for KP Digital.

Some of the problems that you will work on:Build and manage a knowledge graph to store concepts in medical content and entities (including disease, symptoms, etc.

), taxonomy information (ICD-10-CM, RxNorm), and their relationships.

Standardize data that’s stored in the knowledge base: ensure correctness, completeness and freshness of the dataApply graph algorithms on the knowledge graph to discover latent insights to power analytics, search and recommendations.

Build and tune machine learning models to interpret and understand search queries to help retrieve relevant results.

Search queries can vary from exact product search e.

g.

“KP office hours” to more natural language queries such as “pediatrician near me who speaks spanish”, “how do I treat an upset stomach”.

Models to determine query intent (is the customer looking for general healthcare information, or a specific symptom diagnosis, doctor information) , type ahead, autocomplete, spellchecking and query rewriting.

You will also: Design and interpret experiments intelligently to inform the product roadmap and own the end-to-end solution all the way to roll-out.

Conduct deep dives into new research areas to solve tough customer problems.

Provide technical leadership and mentorship to the data science and engineering community.

Be a team player with strong empathy for our internal and external customers.

Publish patents and research papers and represent KP Data Science at conferences.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse ‘big data’ sources to generate actionable insights and solutions for clinical and non-clinical operations enhancements

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