Are you looking to solve complex data analysis problems that impact the health, safety and security of our Nation? Would you like to work with highly-skilled, multi-disciplinary colleagues? ARAs Arlington Division is seeking a Data Scientist for our Arlington, VA or Lexington, MA office. The candidate will work as part of a multidisciplinary team to model, analyze, and combine data from multiple domains in support of countering Weapons of Mass Destruction. The successful candidate will develop algorithms and software tools to maximize the value of information gained from multiple information sources and deliver those tools to a variety of customers. You could analyze time-series signals from remote sensing systems, assess dose-response from an insult to the body (such as radiation), or develop a visualization of a complex network. Or, more likely, all of the above and more! The individual selected for this position will be expected to work well with teams of scientists and engineers, provide focused technical support, and collaborate across different disciplines. Most of the work is interdisciplinary in nature and requires an individual willing to work with other company staff across a wide range of specializations.
What youll do as a Data Scientist
Conduct research: You will support the development of novel data analysis tools and data visualization. The candidate will also support combined analyses of time series and spatial data. The candidate should have excellent written and communication skills and possess the ability to think outside the box in problem definition, design, and execution of a solution.
Support multiple, on-going projects by
working collaboratively with dynamic teams of researchers,
working independently to expand your knowledge base on specific topics
developing algorithms to define or improve feature identification and characterization
interacting with software developers to implement solutions.
Use the following skills:
Estimation theory and general numerical analysis techniques
Time-series signal analysis
Machine learning techniques
Open-source data mining tools
Graphical information systems
Numerical analysis and prototyping-level software such as Matlab, R, Python (with NumPy/SciPy)
Prepare high quality reports, presentations, and other technical products Data Scientist Requirements
B.S. in applied mathematics, the physical sciences, or related field
Significant expertise with modern physics modeling tools and pre- and post-processing of floating-point and character data (e.g. Python and Python toolkits, Matlab, R, bash/csh/tcsh scripting)
2-4 years of experience in applications of data analytics
Experience working collaboratively with other scientists and engineers to achieve project-level goals
Self-motivated, creative, willing to work as a member of a team, yet organized and able to manage individual schedule
Outstanding interpersonal skills, particularly with respect to building strong relationships with colleagues and customers.
The ability to work with minimal supervision, including setting and achieving interim milestones that support higher task objectives.
Demonstrated research/writing skills, as evidenced by technical writing.
Familiarity with Microsoft Office products, e.g., Word, Excel, and PowerPoint
Ability to obtain a U.S. government security clearance, which includes U.S. citizenship. Data Scientist Preferences
M.S. or PhD and 0-2 years experience in applied mathematics, the physical sciences, or related field
Significant experience in deep learning or machine intelligence techniques
Experience in software engineering using Python, C/C++, Java, etc.
Project-related experience in spectral analysis or physics-based numerical modeling
Active DoD TS/SCI clearance Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)View More