Experience:
No experience
Employment Type:
Intern/Co-op
Posted:
2/21/2020
Job Category:
Education
Data Science Intern
(This job is no longer available)
Accolade | Seattle, WA
loading
loading
School
Major
Grad Date
 
 

Not sure what types of jobs you are interested in?


Explore Jobs
Based on Your Education

Follow This Company
Share

Job Description

Accolade at a glance…

Accolade is a personalized health and benefits solution that dramatically improves the experience, outcomes and cost of healthcare for employers, health plans and their members. With a unique blend of compassionate advisors, clinical experts and intelligent technologies, we engage individuals and families in their health, establish trust, and influence their decisions at every stage of care. Accolade connects the widest array of personal health data and programs to present a single point of contact to the most effective health and benefits resources, while coordinating with providers at every step. Accolade consistently achieves 70 and higher Net Promoter Scores, 98% consumer satisfaction ratings, and up to 15% employer cost savings. Accolade has been recognized as one of the nation's 25 most promising companies by Forbes, a fastest-growing private healthcare company by Inc. 5000, and is consistently rated a Top Workplace across the country. For more information, visit accolade.com.

Role overview

You'll have the opportunity to work with a close-knit team of scientists and software engineers on some of the most exciting problems at the intersection of AI and healthcare. In this role, you'll use various big data tools and modern machine learning/neural network technologies to unleash your ideas on our unique consumer health data and build ML models that will affect the well-being of millions of our members by helping them to make better decisions regarding their healthcare choices. And in doing so, you will also gain valuable first-hand industry experience in applying your textbook math, machine learning and coding knowledge to solve real world problems.

A day in the life…

* Using combination of traditional machine learning and deep learning tools to build models that will affect millions of Accolade members, leveraging our industry-leading healthcare data
* Gaining experience in working with cutting edge machine learning software libraries under the mentorship of expert peers
* Working with various big data technologies at enterprise scale, including Python computing ecosystem, Hadoop and Spark, AWS/GCP cloud computing stack

Qualifications

* Pursuing Bachelors or graduate degree in computer science, math and statistics, or natural sciences
* Experience in Python programming and practical knowledge of Machine Learning fundamentals is a must
* Prior experience with healthcare data is a plus
* Eager to work in a face-paced agile environment

All your information will be kept confidential according to EEO guidelines.

About Accolade

"Accolade is focused on creating an environment that is engaging, stimulating and fun," says Margery. "The people-support team really embodies what we're about-providing employees with tools and programs that allow them to do their best and advance their career growth and development." Before joining Accolade, Margery served as the Chief People Officer at Take Care Health Systems, a Walgreens Family of Companies. While there, she built and led the HR team, helping scale the organization from 300 to 3,500 employees. Prior to this, she was Senior Vice President of Human Resources for the Healthcare Management Services division of ARAMARK Corporation. Margery welcomes the opportunity to preserve the spirit and values of Accolade even as we enter a new phase in our history. "Having worked in healthcare for the past 15 years, I appreciate that Accolade offers an opportunity to continue the journey of making a difference in people's lives," she says. "I look forward to building upon the great culture that has already been established here." Margery received her BS in Business Logistics from Pennsylvania State University. She enjoys traveling and spending time with her husband, two daughters and their extended family and friends.