Posted today
Public Trust
$80,001 - $120,000
Unspecified
IT - Data Science
Upper Marlboro, MD (On-Site/Office)
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
Qualifications
Requirements:
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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.
group id: 10111346
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