Systems, Solutions and Deployment (SSD) Data Scientist

  • Kaiser Permanente
  • San Diego, CA, USA
  • Sep 10, 2019
Data Management/Analysis

Job Description

Description: Provides technical direction, including both strategic and tactical planning, execution and support of strategies for the SCPMG Medical informatics group. The position entails developing machine learning approaches to address healthcare's triple aim: to improve the health of populations, to lower the cost of care, and enhance the care experience.

Essential Responsibilities:
Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.Use statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care workflows.Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases.Use machine learning, statistical and programming skills to enable data analytics.Drive informed decision-making and present findings to both technical and non-technical audiences.Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impactProvide technical direction and mentor junior members of the Medical Informatics team.Work closely with software engineers to facilitate model integration and deploymentEmbrace a fast paced, collaborative environment dedicated to building atop cutting-edge technology.
Basic Qualifications:
Minimum five (5) years of experience in architecting and building scalable distributed systems, working in a fast-paced multidisciplinary environment, advocating innovative uses for data, including methodologies, techniques, and tools, working with Software Development Life Cycle (SDLC) and leading from conceptualization to production stage large-scale applications. Education
Master's degree (MS) in computer science or related fields License, Certification, Registration

Additional Requirements:
Experience with deep learning frameworks: e.g. Tensorflow, PyTorch. Knowledge of classification and regression algorithms Experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling. Experience with time series analysis, discrete data modeling and feature engineering. Expert knowledge of PythonExperience with SQL

Preferred Qualifications:
Experience with Java/C++ Experience with machine learning continuous integration and deployment Experience with Tensorflow Serving
Doctorate degree in computer science or related fieldsKnowledge of healthcare terminology

Primary Location: California,San Diego,El Camino Real Administration Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 8:00 AM Working Hours End: 4:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Temporary Employee Group/Union Affiliation: Salaried, Non-Union, Exempt Job Level: Individual Contributor Job Category: Information Technology Department: Systems, Solutions and Deployment Travel: Yes, 10 % of the Time Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.

External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.