Data Scientist Associate

Description SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state‑of‑the‑art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting‑edge infrastructure consisting of both on‑prem distributed computing clusters and cloud‑based analytic environments, which we use for gathering and processing multi‑modal data in real‑time from large‑scale experiments conducted at our test facility (Maryland Test Facility; in field locations, as well as from external data sources. Hybrid - 3 Days in Office / 2 Days Remote What You Will Be Doing: Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines Access available infrastructure, and to develop analytic products tailored to mission user requirements Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms Testing different LLMs Qualifications Requirements: A bachelor’s degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026 Ability to obtain and maintain a public trust requiring US Citizenship Proficient in programming a must (Python, C++, Golang, Java, etc.) Ability to build out data pipelines as this will be the main function of role Desire to learn GoLang Familiar with machine learning, data mining, and/or statistics (R, Python, etc.) Familiar with source control (e.g., Git) Familiar with common data formats (JSON, Parquet, XML, etc.) Familiar with database technologies (SQL, NoSQL) Strong communication skills, with the ability to present findings and recommendations to both technical and non‑technical audience Desired Skills: Prior experience related to data engineering, data science, data architecture, and databases Understanding of scaling and performance of distributed/cloud systems (AWS) Understanding of data science concepts, AI/ML, automation, and scripting Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.) Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. #J-18808-Ljbffr