Data Scientist Sr

Responsibilities Description:

Responsible for the development and implementation of
machine learning algorithms and techniques to solve business problems and
optimize member experiences. Primary duties may include are but not limited to:
Design machine learning projects to address specific business problems
determined by consultation with business partners. Work with data-sets of
varying degrees of size and complexity including both structured and
unstructured data. Piping and processing massive data-streams in distributed
computing environments such as Hadoop to facilitate analysis. Implements batch
and real-time model scoring to drive actions. Develops machine learning
algorithms to build customized solutions that go beyond standard industry tools
and lead to innovative solutions. Develop sophisticated visualization of
analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics,
Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative
disciplines. 5 years experience in predictive analytics and advanced expertise
with software such as Python, or any combination of education and experience
which would provide an equivalent background. Experience leading end-to-end
data science project implementation.  Experience in the healthcare sector.
Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

1. 5 or more years of
   Node.js experience, fluent with Mongoose framework


2. 5 or more years of
   MongoDB experience.


3. 5 or more years of
   distributed computing experience with Hadoop development.


4. 5 or more years of CRUD
   SQL operations.


5. Fluent with full
   development cycle, continuous integration and continuous deployment,
   version control tools. 

6.       5 or more years of Java, Scala or Python programming
experience.

1. Machine learning, deep
   learning knowledge and experience.