Scientist - Pendleton, United States - Elyon International, Inc.

Description

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for

leveraging MCTSSA data to drive business solutions.

• Mine and analyze data from MCTSSA databases to drive optimization and

improvement of product development, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering

techniques.

• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue

generation, ad targeting and other business outcomes.

• Develop data testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data

accuracy.

• Conduct data transformation.
• Implement analytics to transform data into actionable information.
• Deploy data tools such as Python, R, SAS, or Structured Query Language (SQL) in

data analysis.

• Support understanding of where tactical data lives and how edge computing makes it

more actionable.

• Provide configuring and staging concepts to project offices to support implementation

actions.

• Inform MCTSSA on SOPs and tactics, techniques, and procedures (TTPs) to manage,

govern and secure data in a data fabric construct.

• Research other data fabric strategies within the United States Government and assess

viability for USMC use cases.


Qualifications:

Minimum Position Requirements:

• Ability to apply Data Scientist expertise through technology processes, methodologies,

standards, or frameworks.

• Expertise in applying Data Scientist tools and developing methodologies in an

integrated test and/or garrison environment.

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate

data and draw insights from large data sets.

• Experience with programming languages such as C, C++, Java, JavaScript, etc.
• Experience working with and creating data architectures.
• Experience using machine learning techniques (clustering, decision tree learning,

artificial neural networks, etc.) and identifying real-world advantages and drawbacks.

• Experience using advanced statistical techniques and concepts (regression, properties

of distributions, statistical tests and proper usage, etc.).
Desired Position

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Computer

Engineering, or related field.

• Knowledge and experience in statistical and data mining techniques.
• Experience with distributed data and computing tools.
• Experience creating and using advanced machine learning algorithms and statistics:

regression, simulation, scenario analysis, modeling, clustering, decision trees, neural
networks, etc.

• Experience visualizing and presenting data for stakeholders.

Benefits:

Paid sick leave, Medical/Dental (optional), 401 (k) Retirement Plan (optional), Employer Paid Life Insurance, Employer Paid Short Term Disability, Optional Life Insurance.

ELYON International, Inc. is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.