Description
Description
Who You Are
You are a quantitative thinker who wants to develop further as both a data scientist and an engineer. You are excited to grow your existing expertise in fields such as statistics and computer science alongside a diverse team of researchers, test designers, and software engineers. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious problem solver who thrives being on the critical path solving complex analytical tasks and building efficient, transparent, data pipelines.
Who We Are
SAIC's Identity and Data Sciences Laboratory (IDSL) 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; http://mdtf.org), in field locations, as well as from external data sources.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance.
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.
Qualifications
Requirements:
Ability to obtain and maintain a public trust requiring US Citizenship
A bachelor's degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026
Proficient in programming (Python, C++, Golang, Java, etc.)
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)
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)
Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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