Intermediate Data Scientist

DescriptionThe data science candidate is responsible for collecting, cleaning, and munging data for exploratory data analysis to determine the value of the data and how to properly clean and format the data specific to the machine learning/artificial intelligence algorithms employed. The candidate must be able to analyze the data for the signals and then discriminate between good and bad signals based on the technical project use case. The position requires a powerful 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 of experience with data structures, data/AI modeling, supervised/unsupervised AI algorithms, LLMs, and Generative AI.Primary Responsibilities

Create AI prototypes for use cases requiring reinforcement learning, NLP, LLMs, Generative AI, neural nets, and GraphNN.

Develop and maintain data models (both physical and logical)

Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms applied. This data ETL includes identifying the data’s relevant metadata to ensure consistency, quality, accuracy, integrity, 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 of 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 solutionsSetup and use AWS instances to train and operate AI/ML models

Basic Qualifications

Master's degree in Computer Science, Mathematics, Statistics, Physics, Computer Engineering

Must have 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 Text

Preferred Qualifications

Visualizations/Web Development Skills

Knowledge of Agentic AI

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 the 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 detect

Original Posting Date:2024-12-19While 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 $85,150.00 - $153,925.00The 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-00150016All 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.