16 days old

Data Scientist – Consumer Engagement Data & Analytics 2018-24167

Portland, Oregon 97201
  • Job Code
  • Job Type
    Employee, Contract
  • Job Status
    Full Time
  • Shift
    1st Shift
Data Scientist – Consumer Engagement Data & Analytics  2018-24167
Permanent direct hire job opportunity in Portland, OR or Seattle, WA

Responsibilities & Requirements

Creating a seamless and frictionless health care experience for consumers nationwide. This presents a unique challenge and opportunity for innovative and disruptive solutions from the Artificial Intelligence Office.
Data Scientists design, develop, and implement data-driven solutions using machine learning technologies and advanced statistical analyses. You should be passionate about finding insights in data, comfortable with large and fragmented data sets, and command a variety of analytic tools at your disposal.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
  • Research, design, develop, and implement analytical systems focused on the consumer engagement space.
  • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products and experiences for our customers.
  • Design, implement, and analyze online experiments, including A/A and A/B testing, in a variety of configuration environments. 
About Our Client
They advocate for transforming the health care system. You aren’t satisfied with the status quo and neither is our client. Looking for individuals who are as passionate as we are about transforming the way people experience health care. Offering a competitive salary and a generous benefits package. Equal opportunity employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A drug screen and background check is required.
Our client’s portfolio of companies spans health care information technology and software development; retail health care; health insurance plans that carry multiple brands; pharmacy benefit management; life, disability, dental, vision and other lines of protection; alternative solutions to health care access; and free-standing health and wellness solutions.
Having a century of experience in developing and providing health solutions to serve our members. Had their beginnings in the logging communities of the Pacific Northwest as innovators in helping workers 

APPLY TODAY at CVhires.com job listings page - keyword search by title or job number


  • BA/BS degree  (or equivalent experience) in a strongly quantitative field such as: Statistics, Applied Mathematics, Physics, Operations Research, Computer Science, or Econometrics and 3 years of analytics experience or equivalent combination of education and experience. Master's or  PhD degree preferred.   Ideally, with a specialization in behavioral analytics, applied statistics, or Bayesian analysis. 
  • Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, kernel methods, dimensionality reduction, ensemble methods, graph algorithms, and hidden Markov models. 
  • Strong analytical skills and comfortable work with large data sets and ability to transform data into actionable insights.
  • Exceptional technical skills:
  • Strong programming skills in at least one language such as Python, Java, Scala, C++, Julia
  • Experience with SQL and relational databases.
  • Experience with unstructured & semi-structured data sources and requisite processing tools.
  • Ability to work in an agile environment.

Preferred Capabilities & Responsibilities
  • Passion for helping healthy people stay well and for improving the comfort and health level of sick people as efficiently and compassionately as possible. 
  • Familiarity with analytics techniques in the retail, e-commerce, or behavioral spaces based on digital data sources. 
  • Experience with Spark, or related paradigms for processing large volumes of data.
  • Experience in AWS, Azure, or other cloud ecosystems. 
  • Familiarity with NoSQL databases: DynamoDB, Cassandra, MongoDB, or Neo4j. 
  • Familiarity with Elasticsearch, Solr, or Lucene. 
  • Published work in academic conferences or industry circles. 
  • Demonstrated ability to guide and contribute to research of new analytic approaches, inference algorithms, and machine learning techniques. 
This position is posted at levels I, II, or Senior DOE.

Featured Jobs

Share this job:

Data Scientist – Consumer Engagement Data & Analytics 2018-24167

Portland, Oregon 97201

Share this job

Data Scientist – Consumer Engagement Data & Analytics 2018-24167

Portland, Oregon

Separate email addresses with commas

Enter valid email address for sender.

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast