Data Science Intern

| Seattle
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Company Description

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.

Job Description

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

The data science/applied ML intern, reporting to Director of Data Science.

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.

Additional Information

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

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Location

Located in the heart of Downtown Seattle we're steps away from all the city has to offer (sweeping views, restaurants, public transportation, etc.)

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