Data Specialist - Machine Learning

Company: Kaiser Permanente
Location: Pleasanton, California, United States
Type: Full-time
Posted: 20.JUL.2021

Summary

Description: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse 'big data' sour...

Description

Description: 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. Interacts with mission-based teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies, interprets and communicates meaningful insights from analysis and experiments to managers.Essential Responsibilities:Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.Optimize machine learning models to scale in real-time streaming applications.Advanced experience with time series analysis, discrete data modeling and feature engineering.Embrace a fast paced, collaborative environment dedicated to building cutting-edge technology solutions using machine learning.Advanced application of statistical and machine learning techniques to provide clinical decision support as well as improve auditing and standards of care. Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.Exercises judgment within defined procedures and practices to determine appropriate action.Under supervision, coordinates solution development with machine learning scientists, physicians, and other stakeholders.Work closely with software engineers to facilitate model integration and deployment.Under supervision, works extensively with external stakeholders (physicians et al.).Deliver insights and values from heterogeneous data to investigate complex problems in various domains for multiple use cases. Seek out open-source software packages or existing software code that can be reused or applied to assigned tasks. Under supervision, drives informed decision-making and present findings to both technical and non-technical audiences. Integrate and deploy machine learning components in a production environment. Basic Qualifications: Experience Minimum five (5) years of experience in a related field required OR Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Management Science, Business, Economics or related field AND a minimum three (3) years of experience in a related field required. Education Bachelor's degree in mathematics, statistics, engineering, social/physical/life science, management science, business, economics or related field. License, Certification, Registration N/AAdditional Requirements: Functional Knowledge & Skills: Advanced knowledge of classification and regression algorithms. Experience with ensemble techniques such as XGBoost. Advanced knowledge of Hadoop, Spark, MATLAB, TensorFlow, Keras, PyTorch, Python Languages & Packages, Java, Scala, and/or Cuda. Advanced expertise in Vision & Natural Language Processing using CNN, RNN, LSTM and BERT Algorithms. Advanced experience with Deep Learning approaches to Natural Language Understanding (NLU) and Language Modeling and Processing. Experience in building Densely connected Neural Networks with TensorFlow/Keras. Experience using and building visualizations using large datasets and multiple data sources. Must be able to work in a Labor/Management Partnership environment.Preferred Qualifications: Eight (8) years of related experience. Master's degree in mathematics, statistics, engineering, social/physical/life science, management science, business, or economics. Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building A Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon-Fri Working Hours Start: 08:00 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: NUE-CO-02|NUE|Non Union Employee Job Level: Individual Contributor Department: KPIT ADMIN - SOI ENG OPS - 9601 Travel: No 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.

 
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