Data Scientist

Job

Location: UPPER MARLBORO, MD, US

Date Posted:

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-time

Shift: Day Job

Travel: Yes, 10 % of the Time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

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 is looking for a Data Scientist 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

Qualifications

Requirements:

• Ability to obtain and maintain a public trust requiring ship
• 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, No
  
  SQL)

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.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government.

Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit  For information on the benefits SAIC offers, see .