Data Scientist

Altamira delivers a variety of analytic and engineering capabilities to the US National Security community, but the tech culture and the caliber of the individuals that bring these capabilities to fruition are what really set us apart. We’re a curious, responsive, dedicated bunch spread across many corporate cultures. Dayton, OH is highly focused on the Space-based mission set with a heavy emphasis on sensor exploitation and analysis; Tampa, FL focuses on ‘art-of-the-possible’ analytics of all kinds with an emphasis on graph technologies, NLP, and wrangling complex data sets; and all forces converge at our headquarters in the Northern Virginia/Washington DC area where we host our tech events and support engineering and analytic missions across several IC and DOD agencies.

While our work occurs in different states and different mission domains, we’ve got analytics at the heart of every operation and genuine curiosity for new methods, techniques, and solutions. Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. We’ve also got some awesome benefits like the Altamira Healthy Living program, with ongoing competitions and a flexible spending stipend for health and wellness-related items. 

Location: Northern Virginia Area

The Role: An Altamira Data Scientist/Analyst is an integral member of an analytic and engineering team. The Data Scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand-alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.

Your skills:

• Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics)
• Develop statistical algorithms and models, automate data conditioning and data analysis, support machine learning, and generate visualizations for use in predictive and prescriptive modeling and proof of concept initiatives.
• Apply and utilize new or established qualitative and quantitative methods to analyze and resolve analytical issues.
• Working knowledge of 1 or more programming languages
• Experience working with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
• Design and develop new, scalable tools, dashboards, and visualizations to enable users to consume and understand data more effectively and efficiently.
• Ability to visually represent and communicate complex analytics is strongly desired

Your quals:

• TS/SCI/FS Poly clearance
• Significant coursework or professional experience in machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics, or similar analytic domain
• Experience delivering software or technical solutions to DOD or IC customers, USAF, JAIC, NRO, NGA, or other intelligence organizations strongly desired
• Familiarity with data visualization software, tools, and techniques is desired
• Bachelor's degree from an accredited institution in a quantitative or technical field of study, such as: Statistics, Mathematics, Computer Science, Physical Science or Geographic Information Systems (GIS).
• Three (3) years of practical work experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods including two or more (or similar/equivalent) of the following software:
  • ESRI ArcGIS
  • Hive/Hadoop
  • MATLAB
  • SAS
  • SPSS Statistics
• Three (3) years of practical experience in computer programming using one or more (or similar/equivalent) of the following programming languages:
  • C++
  • Interactive Data Language (IDL)
  • JavaScript
  • Python
  • R
• Two (2) years of experience writing technical analysis reports.
• One (1) year practical work experience with geospatial data and/or imagery data
• One (1) year practical work experience with database management systems, database structures and query tools using one or more (or similar/equivalent) of the following:
  • GeoDB
  • Microsoft Access
  • Microsoft Excel
  • SQL
• Demonstrated problem solving skills
• Demonstrated presentation skills, including but limited to presenting at professional or academic conferences.

Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

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