Data Scientist Intern

Key Skills

AI technology, Apache Hadoop, AWS, Azure, Batch Data Processing, Big Data Technology, C Programming, C++, D3.js, Data Analysis, Data Analytics, Data science techniques, Data Visualization, Deep Learning, ETL/ELT technologies, Information Retrieval, Java Programming, Jupyter Notebook, Keras software library, Machine learning techniques, Prototypes, Python Programming, PyTorch, Scikit-learn, Snorkel, SPARK Programming, Tableau, TensorFlow

Job 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.

The Leidos Innovation Center (LInC) Advanced Analytics team has an opening for a motivated Data Scientist Intern, based out of our Arlington, VA office. This position offers a flexible hybrid onsite/remote 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.

Primary 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 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

To be successful in this role you need these basic skills (required qualifications):

• Currently enrolled and pursuing a Bachelor 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

• Must be eligible to obtain a DoD Top Secret security clearance with polygraph

• S. Citizenship required

• 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

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

Pay Range: $44,200.00 - $79,900.00

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.