Leidos
Data Scientist Intern
Leidos, Arlington, Virginia, United States, 22201
Description
Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
Leidos has an opening for a motivated Data Scientist Intern for Summer 2025, based out of our Arlington, VA office. This position offers a semi-hybrid onsite /remote (4/1) work schedule.
This candidate will work on projects to design, develop, and deploy Machine Learning services. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. The candidate must be intellectually adaptive, inquisitive, good at expressing their needs, and self-managed when necessary. Selected candidates will work alongside software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems.
Job Responsibilities
Create AI/ML prototypes for use cases requiring identifying entity/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.
Develop and maintain data models (both physical and logical)
Research and evaluate new technologies
Design and architect technical solutions in collaboration with teammates
Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifyingthe data’s relevant metadata to ensure consistency, quality, accuracy, integrity, and information assurance and security.
Conduct anomaly detection using various AI/ML techniques
Use algorithms to identify complex patterns across multiple modalities
Increase the efficiency and quality data alignment and fusion
Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms
Direct quantitative data analysis including developing retrieval, processing, fusion, analysis, and visualization of various datasets
Configure and program prototypes Jupyter notebooks with ML solutions
Setup and use AWS instances to train and operate AI/ML models
Basic Qualifications
Currently enrolled and pursuing a Bachelor or Master’s degree in the field of Data Science, Data Analytics, Computer Science, Mathematics, Statistics, or related fields
Familiar with at least one programming language like Python, Java, C/C++.
Experience with at least one of the following machine learning libraries SciKit Learn, Keras, TensorFlow, or PyTorch
Practical experience with statistical analysis
Intermediate software development skills including developing and maintaining code bases
Hands-on Software Development Skills (Python-Preferred)
Experience or educational courses/projects in Machine Learning, and/or Text
Must be eligible to obtain and maintain a DoD Top Secret security clearance with polygraph
U.S. Citizenship required
Preferred Qualifications
Visualizations/Web Development Skills (e.g. Tableau, D3, etc)
Hands-on experience with prototype development
Hands-on experience with automating data cleansing, formatting, staging, and transforming data
Hands-on experience applying data analytics
Hands-on experience with intelligent systems and machine learning
Experience with interpretability of deep learning models
Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)
Experience with text mining tools and techniques including in areas of summarization, search (e.g. elasticsearch), entity extraction, training set generation (e.g. Snorkel) and anomaly detection
Experience using git, jupyter notebooks, vs code or other IDEs and version control systems
Original Posting Date:
2024-10-01
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $46,800.00 - $84,600.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
REQNUMBER: R-00144661
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.
Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.
Leidos has an opening for a motivated Data Scientist Intern for Summer 2025, based out of our Arlington, VA office. This position offers a semi-hybrid onsite /remote (4/1) work schedule.
This candidate will work on projects to design, develop, and deploy Machine Learning services. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. The candidate must be intellectually adaptive, inquisitive, good at expressing their needs, and self-managed when necessary. Selected candidates will work alongside software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems.
Job Responsibilities
Create AI/ML prototypes for use cases requiring identifying entity/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.
Develop and maintain data models (both physical and logical)
Research and evaluate new technologies
Design and architect technical solutions in collaboration with teammates
Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifyingthe data’s relevant metadata to ensure consistency, quality, accuracy, integrity, and information assurance and security.
Conduct anomaly detection using various AI/ML techniques
Use algorithms to identify complex patterns across multiple modalities
Increase the efficiency and quality data alignment and fusion
Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms
Direct quantitative data analysis including developing retrieval, processing, fusion, analysis, and visualization of various datasets
Configure and program prototypes Jupyter notebooks with ML solutions
Setup and use AWS instances to train and operate AI/ML models
Basic Qualifications
Currently enrolled and pursuing a Bachelor or Master’s degree in the field of Data Science, Data Analytics, Computer Science, Mathematics, Statistics, or related fields
Familiar with at least one programming language like Python, Java, C/C++.
Experience with at least one of the following machine learning libraries SciKit Learn, Keras, TensorFlow, or PyTorch
Practical experience with statistical analysis
Intermediate software development skills including developing and maintaining code bases
Hands-on Software Development Skills (Python-Preferred)
Experience or educational courses/projects in Machine Learning, and/or Text
Must be eligible to obtain and maintain a DoD Top Secret security clearance with polygraph
U.S. Citizenship required
Preferred Qualifications
Visualizations/Web Development Skills (e.g. Tableau, D3, etc)
Hands-on experience with prototype development
Hands-on experience with automating data cleansing, formatting, staging, and transforming data
Hands-on experience applying data analytics
Hands-on experience with intelligent systems and machine learning
Experience with interpretability of deep learning models
Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)
Experience with text mining tools and techniques including in areas of summarization, search (e.g. elasticsearch), entity extraction, training set generation (e.g. Snorkel) and anomaly detection
Experience using git, jupyter notebooks, vs code or other IDEs and version control systems
Original Posting Date:
2024-10-01
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $46,800.00 - $84,600.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
REQNUMBER: R-00144661
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.