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Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Prototype or consider several algorithms and decide upon final model based on suitable performance metrics. Build models or develop experiments to generate data when training or example datasets are unavailable. Generate reports and visualizations that summarize datasets and provide data-driven insights to customers. Partner with subject matter experts to translate manual data analysis into automated analytics. Implement prototype algorithms within production frameworks for integration into analyst workflows.
Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C ). Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis. Experience with visual analytic tools and experience with entity extraction and machine learning, algorithm analysis, and data clustering.
Basic Requirements:
Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Level 2:
Bachelor’s Degree with 3 years of relevant experienceAssociates degree with 5 years of relevant experience
Level 3:
Bachelor’s Degree with 10 years of relevant experienceAssociates degree with 12 years of relevant experience
Level 4:
Bachelor’s Degree with 15 years of relevant experienceAssociates degree with 17 years of relevant experience
Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can’t be done, solving the most daunting challenges facing our customers.
Full Time
Durable Manufacturing
$101k-125k (estimate)
11/16/2022
07/12/2023
peraton.com
COLORADO SPRINGS, CO
15,000 - 50,000
2017
Public
ALAN STEWART
$5B - $10B
Durable Manufacturing
Perspecta is an IT service firm that provides data analytics, applied research, cybersecurity and related services for the healthcare industry.
The job skills required for Data Scientist (2,3,4) include Data Science, Machine Learning, Python, Insight, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (2,3,4). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist (2,3,4). Select any job title you are interested in and start to search job requirements.
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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.
01/31/2022: Passaic, NJ
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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