Job Description :
Role summary:

The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. You will be a member of an integrated pod working together to deliver successful outcomes on the GE Predix platform.

Essential functions:
· Develop analytics to address data science needs and opportunities.
· Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
· Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
· Perform exploratory and targeted data analyses using descriptive statistics and other methods.
· Work with data engineers on data quality assessment, data cleansing and data analytics
· Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
· Share and discuss findings with team members."
· Basic qualifications:
· Bachelors Degree in Mathematics, Statistics, Machine Learning or a related field
· Minimum 1 year analytics development experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages
· Familiarity with Linux/Unix/Shell environments
· Minimum 1 year hands-on experience in sourcing, cleaning, manipulating and analyzing large volumes of data"
· Desired qualifications:
· Demonstrated awareness of feature extraction and current analytics methods
· Demonstrated awareness of analytic prototyping, analytic scale up, analytic scaling, and solutions integration
· Demonstrated awareness of industry and technology trends in data science
· Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
· Legal authorization to work in the U.S. is required. • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
· Must be willing to travel up to 10%
· Must be willing to work out of an office located in New Orleans