8 Jobs in Springfield, VA
Xcellent Technology Solutions is Hiring a Data Scientist Near Springfield, VA
NGA Washington
Embark on a transformative journey to unleash the untapped capabilities of geospatial intelligence operations. By combining the precision of automation with the foresight of probabilistic inference, become the driving force behind a new era of unparalleled insight and strategic advantage.
The Data Scientist will function in a dynamic role and will be instrumental in advancing the National System for Geospatial Intelligence strategies. Developing automated collection models, dynamic analytic models, and workflow automations to optimize operational performance will be at the forefront of position responsibilities. You will be provided the opportunity to maximize efficiency in data science and visual programming to streamline analysis tasks and enhance technical solutions for intelligence integration, automated collections, and information sharing. The Data Scientist will be involved in extensive data processing, mining, and visualization, while also performing gap analysis on existing technologies as well as communicating progress and findings to stakeholders and support customer elicitation to identify processing issues and emerging requirements. Training and integrating new tools and capabilities will be key aspects of this role. Coherence with Bayesian Belief Network (BBN) to manage uncertainty, support decision-making, enable predictive analysis, and enhance situational awareness will be inherently valuable in this role.
Discover the unique blend of expertise, dedication, and innovation that makes date scientists indispensable in the world of geospatial intelligence. Contact Josh at [email protected]!
Requirements:
- TS/SCI
- Junior: HS Diploma or equivalent 3 years' experience; Mid-Level: Associate degree 3 years' experience; Senior: Bachelor's degree 7 years' experience
- Proficiency in common geospatial software applications and tools such as JEMA, FADE/MIST, ECO/ETAS, Python, SQL, Git, GIMS and more
- High level of skill enhancing technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization
- Expertise with BBN and Markov-Chain modelling to drive predictive, activity-based automated collection
Job Summary
Full Time
$111k-136k (estimate)
05/06/2024
05/19/2024
xcellenttechnologysolutions.com
Warrenton, VA
<25
Telecommunications
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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
