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Data Scientist 3

Annapolis, MD, US • Posted 4 hours ago • Updated 4 hours ago

Full Time

On-site

USD $132,000.00 - 147,000.00 per year

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Job Details

Skills

Jupyter
Data Processing
Visualization
Workflow
Modeling
Scientific Research
Drawing
DirectShow
DS
Natural Language Processing
Applied Mathematics
Operations Research
Information Systems
Physics
Chemistry
Biology
Astronomy
Science
Linear Algebra
Probability
Computer Science
Data Structure
Mathematics
Machine Learning (ML)
Data Science
Analytical Skill
Algorithms
Python
Statistics
Testing
EDA
Data Analysis
Data Management
Data Cleansing
Data Mining
Data Modeling
Artificial Intelligence
Software Engineering

Jupyter
Data Processing
Visualization
Workflow
Modeling
Scientific Research
Drawing
DirectShow
DS
Natural Language Processing
Applied Mathematics
Operations Research
Information Systems
Physics
Chemistry
Biology
Astronomy
Science
Linear Algebra
Probability
Computer Science
Data Structure
Mathematics
Machine Learning (ML)
Data Science
Analytical Skill
Algorithms
Python
Statistics
Testing
EDA
Data Analysis
Data Management
Data Cleansing
Data Mining
Data Modeling
Artificial Intelligence
Software Engineering

Summary

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to support a Natural Language Processing (NLP) project. You will help to accurately and automatically tokenize language data with spoken or written origins, develop automated solutions for the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text.

The Level 3 Data Scientist shall possess the following capabilities:

Foundations: (Mathematical, Computational, Statistical).
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Effectively communicate complex technical information to non-technical audiences.
DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text.

Qualifications:

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

TS/SCI with polygraph is required.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091699
Position Id: bc4650d1f9e8d8276c9f2e5274716a4a
Posted 4 hours ago

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