Leidos Holding
Intermediate Data Scientist
Leidos Holding, Arlington, VA
Description
This position requires a very strong general knowledge of machine learning and artificial intelligence so that the candidate can contribute to various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator. Candidates will have two years or less experience finding and aligning signals across multiple modalities (image, video, audio, lidar, etc..). Along with those skills, the candidate must have demonstrated ability working independently and in technical teams to implement and customize algorithms to fusion multiple data modalities. In this data scientist position at Leidos Arlington, VA. office, the candidate we be a strong Python coder with knowledge in using ML libraries like SciKit Learn, TensorFlow, Keras on both CPU and GPU compute architectures.
Primary Responsibilities
Basic Qualifications
Preferred Qualifications
Pay Range: Pay Range $101,400.00 - $183,300.00
The Leidos pay range for this job level is a general guideline only and 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.
#Remote
About Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information, visit www.Leidos.com .
Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here .
Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other person a l information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected] .
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission .
Commitment to Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
This position requires a very strong general knowledge of machine learning and artificial intelligence so that the candidate can contribute to various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator. Candidates will have two years or less experience finding and aligning signals across multiple modalities (image, video, audio, lidar, etc..). Along with those skills, the candidate must have demonstrated ability working independently and in technical teams to implement and customize algorithms to fusion multiple data modalities. In this data scientist position at Leidos Arlington, VA. office, the candidate we be a strong Python coder with knowledge in using ML libraries like SciKit Learn, TensorFlow, Keras on both CPU and GPU compute architectures.
Primary 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)
- Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifying the 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
- 8+ years of relevant experience and a B.S. degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering; or a Master's and 6+ years of relevant experience
- Must be able to obtain a Top Secret security clearance with a polygraph security clearance
- Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, Mxnet, etc. - Ability to apply these frameworks to real problems in the 'time -series' domain
- Practical hands-on experience and the ability to explain statistical analysis, reinforcement learning, transfer learning, natural language processing, and computer vision
- Expert software development skills lifecycle including developing and maintaining good production quality code
- Hands-on Software Development Skills (Python-Preferred)
- Experience or educational courses/projects in Machine Learning, and/or Text
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 human
- 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. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection
Pay Range: Pay Range $101,400.00 - $183,300.00
The Leidos pay range for this job level is a general guideline only and 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.
#Remote
About Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information, visit www.Leidos.com .
Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here .
Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other person a l information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected] .
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission .
Commitment to Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.