Data Scientist - Expert Level

United States·Fort Eisenhowermid

Data ScientistData

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Quick Summary

Overview

Altamira Technologies Corporation has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities by focusing on creating innovative…

Key Responsibilities

Requirements Summary

Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.

Technical Tools

awsconfluencems-officepower-bipythonsplunksqltableautypescriptagiledata-analysisdata-visualizationdeep-learningproject-managementstatistical-modeling

Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done.

Responsibilities:

· The Data Scientist Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Required qualifications/skills:

Education/Experience:

MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR
BA/BS degree in a STEM-related discipline AND 10 years of relevant experience

Qualifications:

Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
Current/active TS/SCI clearance

Desired Qualifications/Skills:

Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
Certification in AWS (AI/ML specialty).
Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
Experience with Microsoft Office tools to deliver reports, graphics and briefings.