Careers

Sr. Data Scientist

  • Edifecs
  • Bellevue, WA, USA
  • Nov 09, 2020
[Information Technology]

Job Description

Edifecs









Senior Data Scientist

Overview

Edifecs is leveraging cutting-edge machine learning and artificial intelligence solutions for next generation healthcare products. The Edifecs Data Science Product Team is bringing deep analytics capabilities and ready-to-deploy applications to any healthcare legacy application and platform, granting easier access to machine learning and AI benefits. Edifecs Data Science is redefining predictive analytics in the Enterprise healthcare with its unique Machine Learning platform EASH. This Edifecs real-time healthcare intelligence engine integrated with the core Edifecs products including Smart Trading provides Payers and Providers with advanced analytic and ML tools, capabilities and a SaaS platform to modernize and improve the insights, decisions and value derived from their current platforms. Our goal is to provide a completely data-driven analytics platform to enrich our customers' existing apps and workloads for a more efficient and productive healthcare ecosystem.

As we continue to deliver analytics functions without the high costs, trial-and-error start-up phase of incorporating new technologies, we are seeking a Senior Data Scientist to join their mission. This position will help define and disseminate our Data Science products enabling data driven decision making via advanced Machine Learning, micro-services apps and visualization.

What you will do:

Lead development of high complexity models and training sets.
Provide hands-on execution and implementation of data science models.
Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms
Communicates model evaluation, process, assumptions, and implications of results back to a variety of stakeholders
Recognize and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business.
Balance tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
Perform collaborative work on data science problems and mentor junior data scientists
Create shared process models to effectively articulate multiple views of the business solutions that support technical architecture for Big Data platform implementation of stabilized ML core
Manage development of quantitative models and tools
Collaborate with leaders, other LOBs, and business partners to work on projects
Develop new or revises complex models to enhance eHealth payer and provider use cases, and various other metrics to identify potential opportunities
Assess business implications associated with modeling assumptions, inputs, methods, technical implementation, analytic procedures and processes, and advanced data analysis
Partner with leaders to drive high performance in their lines of business
Develop deep understanding of business drivers and financial levers to provide strategic decision support
Oversee resolution of complex projects and programs
Develop and maintain up-to-date detailed project schedules and work plans
Perform analysis on complex data models requiring customized reports and data and presents recommendations



What you will bring:



M.S. or Ph. D. Degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years
Experience in data modeling, 5 years
Experience with Python, R, Scala, SQL
Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
Experience data science notebooks (Jupyter, Zeppelin or other)
Experience with AWS, Azure, cloud computing technologies
Healthcare industry (Claims Payer/Provider) experience
Experience designing efficient data science workflows and database architecture for data science purposes
Experience with forecasting, Bayesian networks, and graph analytics; Strong statistics experience
Ability to develop reports, models, and simulations as needed to perform at the job level
Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences



About Edifecs

Edifecs is a leading healthcare technology company with the mission to improve healthcare outcomes, reduce costs and accelerate innovation. We empower healthcare organizations to scale the partnerships required by payment, care delivery and access reform initiatives that are redefining the healthcare industry. We are disruptors, scientists, data nerds, doctors and artists. We believe information technology can revolutionize healthcare. Edifecs has grown from a small start-up to the market leader in our space, and today boasts over 375 healthcare clients that include 25 Blue Plans, over 50 Commercial Plans, 100's of Healthcare Providers, State and Federal agencies, along with partnership arrangements with most leading middleware stack vendors. Edifecs is regularly recognized as a leader in the Healthcare IT. We have received recognition and awards and continue to be recognized for our overall performance as a company, our dynamic workplace culture and our commitment to innovation.

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

Edifecs will provide reasonable accommodation to individuals with disabilities who need assistance applying for a job. Please contact ...@edifecs.com for more information.







Apply Here:

PI125298933
Associated topics: artificial intelligence, computer engineering, electrical, electronic engineering, information technology, matlab, photonics, processor, programming, robotics