Data Science, AI, Statistical Modeling

Job ID: 2616611

Location

Chantilly, VA, US

Date Posted

2026-09-08

Category

Engineering and Sciences

Subcategory

Modeling/Sim Engr

Schedule

Full-Time

Shift

Day Job

Travel

No

Minimum Clearance Required

TS.SCI_wPoly

Clearance Level Must Be Able to Obtain

None

Potential for Remote Work

ORA_ON_SITE

Description

SAIC is seeking Data Scientist with deep expertise in AI/ML, advanced statistical modeling, and computer vision/OCR to design, develop, and deploy data-driven solutions that support mission-critical objectives. The ideal candidate combines strong quantitative skills with hands-on engineering experience, and can translate complex business or mission needs into scalable analytical and AI solutions.

You will work closely with subject-matter experts to understand requirements and translate those requirements into technical solutions to .to build models that extract value from structured and unstructured data, including images, documents, and text. Additionally, the models must detect changes from a defined baseline and incorporate the results into customer required report formats.

Key Responsibilities

AI & Machine Learning

• Design, build, and validate machine learning models (supervised, unsupervised, and semi-supervised) for prediction, classification, clustering, and change detection..
• Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and deployment.
• Apply deep learning techniques (e.g., CNNs, RNNs/LSTMs/Transformers) where appropriate to solve complex business or mission problems.

Statistical Modeling & Analytics

* Develop and apply statistical models (e.g., regression, generalized linear models, hierarchical/multilevel models, time series, survival analysis, experimental design) to support forecasting, risk assessment, and operational decision-making. *