About Systems Planning & Analysis
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Industry
Guided missile and space vehicle manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Alexandria, VA, US
Year founded
1972
Full-time
Posted 10 days ago
Job description
Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The SLA Analysis Group's mission is to deliver objective analyses, plans and strategies to US Navy, US Marine Corps, USAF, other DoD, and Australian Defence Force clients to support technology development, acquisition, delivery and sustainment decisions. The group provides the core of SPA thought leadership on Undersea Strategy, Software Development and Cost Estimating, with additional benchmark capabilities in AI/ML & Decision Analytics, Modeling and Simulation, and Future Force Assessments. #MC
SPA has an immediate need for a Data Scientist.
ResponsibilitiesThe Data Scientist will provide integral support in the areas of system modeling, performance testing, and analysis for joint integrated air and missile defense (IAMD) engagements. This role will support and inform the design of experiments and execution of joint kill chains through machine learning, meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to explore the IAMD mission set and identify where data science can provide insight to improve Joint warfighting capability. Work will include creation and modification of software models to compliment ongoing studies and explore new pathways for analysis.
QualificationsRequired Qualifications
- Bachelor's degree in Engineering, Computer Science, Mathematics, Operations Research, Statistics or other related technical degree
- 7-10 years experience
- The ability to prepare and present complex ideas (including analytic methodologies and results) in a clear and coherent form before an audience is required.
- Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or equivalent with the ability to produce charts and tables.
- Ability to exercise independent judgment in technical analysis and to work effectively with minimal supervision.
- Ability to work with engineers and analysts across a wide range of systems to collect data, identify and resolve modeling issues, and drive new analysis techniques.
- Self starter with effective oral and written communication skills for working within a team environment.
- Proficient in using MS Office, with emphasis in Excel and VBA.
- Must have a Top Secret clearance with SCI eligibility, and the ability to maintain it throughout employment.
- Master's degree in Engineering, Mathematics, Computer Science, Operations Research or other related technical degree.
- Familiarity with SQL including the ability to create/use complex queries to extract information from databases.
- Familiarity with commercial or military sensors and networks.
- Experience in software testing, AFSIM, neural networks, AI, meta modeling, or machine learning.
- Active Top Secret clearance with SCI eligibility required, and the ability to maintain it through employment.
spa.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
