Data Scientist Associate

  • SAN DIEGO, CA
  • Posted 12 hours ago | Updated moments ago

Overview

On Site
USD 40,001.00 - 80,000.00 per year
Full Time

Skills

Machine Learning (ML)
Presentations
Data Science
Python
R
Data Analysis
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Collaboration
Teamwork
Security Clearance
Information Technology
Systems Engineering
FOCUS

Job Details

Job ID: 2508377

Location: SAN DIEGO, CA, US

Date Posted: 2025-08-06

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: Interim Secret

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: No

Description

SAIC is seeking a Data Scientist Associate to join our team in San Diego, CA.

Responsibilities:
  • Collect, clean, and preprocess large datasets.
  • Develop and implement machine learning models.
  • Analyze data and create visualizations for actionable insights.
  • Collaborate with cross-functional teams.
  • Support technical reports and presentations.

Qualifications

Required Education:
  • Bachelors degree in Data Science or related degree and zero (0) or more years; Four (4) years' experience can be considered in lieu of degree.

Required Skills:
  • Pursuing a degree in Data Science or related field.
  • Proficient in Python or R.
  • Familiar with data analysis tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork.

Clearance Requirements:
  • Must possess an Interim Secret clearance with the ability to obtain a Secret security clearance; ship.

Target salary range: $40,001 - $80,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About SAIC