Senior Data Engineer - ML, Analytics & Geospatial

Altamira Technologies Corporation; Augusta (GA); On-site; USD 110,000 - 170,000; Full time

Job summary

Altamira Technologies Corporation in Augusta, GA seeks a Data Engineer to join an analytic and engineering team focused on developing novel analytics for the national security domain. The role emphasizes crafting narratives and producing clear visualizations of analytic outputs.

The candidate will design, develop, and implement analytic solutions, applying statistics, ML, and data visualization, and work across deployment environments including cloud-based architectures.

Qualifications

• Excellent written & oral communication, research, and analytic skills.
• Ability to design, develop, and deliver analytic solutions for complex datasets.
• Experience with programming languages such as SAS, R, Java, C, MATLAB, Scala, or Python; knowledge of SQL for data interrogation.
• Experience with data integration, governance, and metrics; familiarity with Pandas, Scikit-learn, TensorFlow, and Gensim.

Responsibilities

• Design, develop, and implement novel analytics to address customer problem sets.
• Craft narratives around analytics and produce highly visual representations of outputs.
• Work within deployment environments, whether stand-alone or cloud-based architectures.
• Collaborate with cross-functional teams and document findings.

Skills

Python

R

SAS

Java

MATLAB

Scala

Pandas

Scikit-learn

TensorFlow

Gensim

SQL

Data visualization

Communication

Education

MA/MS in Data Science or related field

BA/BS in Data Science or related field

HS diploma + 15 years Intelligence Analysis experience

Job description

Altamira Technologies Corporation in Augusta, GA seeks a Data Engineer to join an analytic and engineering team focused on developing novel analytics for the national security domain. The role emphasizes crafting narratives and producing clear visualizations of analytic outputs.

The candidate will design, develop, and implement analytic solutions, applying statistics, ML, and data visualization, and work across deployment environments including cloud-based architectures.