AI/Data Scientist II

Premera Blue Cross

1d•Remote

About The Position

Our purpose, to improve customers’ lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we’re able to better serve our customers. It’s this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: https://healthsource.premera.com/. As a Data Scientist II, you will design, develop, and implement data-driven solutions. You will use programming, business, and quantitative skills to programmatically solve increasingly complex business analytic problems (scenario planning, prediction, discovery) and combine analytics and programming to explore new problem spaces using Machine Learning and Data Mining methods with structured and unstructured data. This is a telecommuter position, working from home.

Requirements

Bachelor’s Degree in Statistics, Computer Science, Programming, Data Science, or similar quantitative field.
(2) years of experience in quantitative analytics, programming, and/or data engineering or data science.
Ability to use a wide variety of data technologies which will evolve and change over time. Examples include Infosphere DataStage, Information Server DataStage, Netezza, MS SQL Server, SSIDS or integration services, windows scripting or VBScript, Teradata, Cloudera/Hadoop, CASK, SQL/Hive/Impala/Spark, Python/R, SAS, Java, and Tableau.
Fluency in SQL.
Familiarity with distributed computing and/or distributed databases (Hadoop, NoSQL, etc.).
Demonstrated experience in data extraction, manipulation, data management, predictive and descriptive data modeling, forecasting, trending, interpreting, displaying, and communicating results/recommendations.
Experience/knowledge using data visualization tools such as Tableau for data exploration and presentation.
Good written communication skills and ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Good interpersonal skills with the ability to work both independently and as a member of a team.
Good understanding of statistics and machine learning concepts such as probability, inference, and A/B testing and mathematical modeling.
Strong knowledge of mathematics, statistics, and probability.
Able to combine pieces of information to form general rules or conclusions as well as find relationships among seemingly unrelated business or healthcare events.

Nice To Haves

Master’s Degree in Statistics, Computer Science, Data Science, or similar quantitative field.
Experience with programming or scripting, preferably in R or Python.
Experience with open-source environments.
Experience with analysis and reporting.

Responsibilities

Solve new business problems using quantitative, business and healthcare principles, and scientific methods using data centric programming, scripting, and machine learning skills.
Create data models, APIs, and pipelines for use in data products.
Solve higher order analytics problems using data science methodologies such as predictive modeling.
Conduct exploration and in-depth evaluation of source system data and processes.
Consult with the business to develop a deep understanding of needs, pace, and direction of business.
Design data experiments using scientific and quantitative principles to validate analytical algorithms.
Work with business subject matter experts in creation of reliable data experiments.
Participate in code peer reviews and quality assurance testing.
Troubleshoot issues as they arise to solve problems independently and collaboratively.
Maintain regular contact with customers through development cycle to ensure each step of implementation tracks customers’ needs.
Lead small analytics projects applying a working knowledge of Agile and SCRUM project methodologies utilizing TFS, Jira, and Confluence.

Benefits

Medical, vision, and dental coverage with low employee premiums.
Voluntary benefit offerings, including pet insurance for paw parents.
Life and disability insurance.
Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.
Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.
Generous paid time off to reenergize.
Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.
Employee recognition program to celebrate anniversaries, team accomplishments, and more.
For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
Commuter perks make your trip to work less impactful on the environment and your wallet.
Free convenient on-site parking.
Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.