27 Data Scientist Jobs in Springfield, VA
Concurrent Technologies Corporation is Hiring a Data Scientist Near Springfield, VA
Concurrent Technologies Corporation
Springfield, Va
Minimum Clearance Required: TS/SCI with CI Polygraph
Clearance Level Must Be Able to Obtain: TS/SCI with CI Polygraph
CTC is looking for talented Data Scientist who is excited manipulating large amounts of structured and unstructured complex datasets into useful information to solve critical intelligence community (IC) problems. You'll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. You'll provide the customer with a deep understanding of their data, what it all means, and how they can best use it.
Key Responsibilities:
- Design, develop and support geospatial software applications.
- Automate, review, and labeling of overhead imagery.
- Help develop and employ machine learning algorithms in Pytorch.
- Work with natural language processing models and principles on very large data sets.
- Mentor teammates in applying data algorithms.
- Report finding to client and IC community.
- Bachelor of Science degree in the Mathematics, the Physical Science, Software Engineering, Computer Science or related field with 6-8 years of related experience, or a Master of Science degree with 4-6 years of experience, or a PhD with 2-4 years of experience.
- Proficiency with machine learning running Pytorch, CNNs, RNNs, Tensor Net, etc.
- Familiar with natural language processing models and associated principles.
- Excellent communication, mentoring, and leadership skills are a must.
- Experience in operationalizing artificial intelligence and machine learning at client locations
- Experience in software development, including Agile process model
- Experience in data visualization/dashboard tool, and presenting data through reports
- Experience with data lakes and unstructured data
- Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional environment
- Knowledge of commercial Cloud services used by the IC
- Our teams at CTC are passionate and thrive on collaboration in a team environment
- When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges
- Competitive salary and benefits package
- Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life
- Visit www.ctc.com to learn more
https://concurrent-technologies-corporation.breezy.hr
Staffing Requisition: SR#2023-0124
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."
Job Summary
Full Time
$128k-157k (estimate)
05/02/2024
05/15/2024
AMHERST, NH
200 - 500
1993
DAVID HALLENBECK
$5M - $10M
Business Services
Related Companies
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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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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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