Position:
Data Scientist Associate
Company:
SAIC
Location:
Norfolk, VA, United States
Job Type:
Full-time
Job Mode:
On-Site
Job Requisition ID:
2503223
Years of Experience:
0-2 years (entry-level)
Company Description
SAIC (Science Applications International Corporation) is a Fortune 500 technology integrator committed to leveraging advanced technology to support defense, space, civilian, and intelligence operations.
The company specializes in mission IT, enterprise IT, engineering, and professional services, ensuring secure and efficient solutions for government and military clients.
With an annual revenue of approximately $7.4 billion, SAIC employs around 24,000 professionals dedicated to advancing technology for national security and operational excellence.
SAIC emphasizes innovation, security, and collaboration to modernize mission-critical operations, ensuring technological advancements are effectively implemented.
Headquartered in Reston, Virginia, SAIC maintains a strong industry reputation and offers equal employment opportunities to all qualified candidates.
Profile Overview
The Data Scientist Associate role at SAIC is crucial in supporting the Navy's operational and strategic initiatives, particularly in Maritime Position, Navigation, and Timing (M-PNT) systems.
The position involves working closely with cross-functional teams to analyze data at various stages and provide actionable insights.
The role requires expertise in data collection, cleaning, statistical analysis, visualization, and foundational machine learning techniques.
Candidates should have proficiency in Python programming, SQL for data extraction, and data science methodologies, including predictive modeling and business intelligence.
The job is performed on-site at Norfolk, VA, and Virginia Beach, VA, with a small travel requirement of up to 10%.
The selected candidate will play a vital role in driving data-driven decision-making, interpreting trends, and presenting findings to stakeholders.
This position is contingent upon an award announcement expected in Spring 2026.
Key Responsibilities
Data Analysis and Insights
Work in collaboration with cross-functional teams to analyze data from various sources.
Convert mission requirements into comprehensive analytical models to derive meaningful results.
Perform data collection, cleansing, integration, and validation to ensure data integrity.
Apply data science methodologies, including statistical techniques and machine learning algorithms, to analyze datasets.
Identify patterns, trends, and correlations in complex datasets to provide actionable insights.
Develop predictive models and visualization dashboards to support strategic decision-making.
Technical Skills and Implementation
Utilize programming languages such as Python (Pandas, NumPy, Matplotlib) for data manipulation and visualization.
Extract and query data from relational databases using SQL.
Implement machine learning algorithms, including supervised and unsupervised learning techniques.
Create new features from existing data to enhance the accuracy of predictive models.
Translate analytical findings into reports, presentations, and data dashboards for business leaders.
Apply business intelligence tools to communicate data insights effectively.
Collaboration and Reporting
Work closely with stakeholders to define data science challenges and propose solutions.
Communicate findings to both technical and non-technical audiences through clear visualizations and reports.
Prepare summaries of key insights from data analyses and present them to decision-makers.
Ensure a scientific approach is followed at every stage of the data analysis process.
Qualifications
Educational and Professional Requirements
Bachelor’s degree in a relevant field such as Computer Science, Data Science, Mathematics, or a related discipline.
0-2 years of professional experience, with academic projects and internships considered valuable.
Technical Skills
Proficiency in Python programming, particularly libraries like Pandas, NumPy, and Matplotlib.
Strong understanding of statistical concepts, including hypothesis testing, regression analysis, and probability distributions.
Familiarity with machine learning techniques such as decision trees, clustering, and regression models.
Experience working with SQL to extract, query, and manipulate data.
Knowledge of data visualization techniques, including creating dashboards and charts.
Ability to handle missing values, outliers, and inconsistencies in datasets.
Security Clearance and Compliance
U.S. Citizenship is required.
Candidate must either possess or be eligible to obtain a Department of Defense (DoD) Secret security clearance.
Preference for candidates with an active Interim Secret or Final Secret clearance.
Additional Info
Work Environment and Benefits
SAIC fosters a culture of innovation, encouraging employees to contribute to cutting-edge technology solutions.
Employees gain hands-on experience with advanced tools and participate in field-testing operations.
A competitive compensation and benefits package, including health insurance, paid time off, and retirement plans.
A professional development-friendly environment, offering training opportunities and career growth support.
Job Continuity and Policies
SAIC continuously accepts applications for this role, with no strict deadline for submission.
This position is contingent upon contract award, expected in Spring 2026.
The company does not mandate COVID-19 vaccinations or boosters but adheres to specific customer site requirements.
Equal Opportunity Employer
SAIC provides equal employment opportunities to all applicants, ensuring a diverse and inclusive workplace.
The company values candidates from all backgrounds and encourages applications from underrepresented groups in technology and defense industries.
About SAIC’s Industry Presence
SAIC’s contributions extend across defense, intelligence, space, and civilian sectors, delivering mission-critical solutions to government agencies.
The company’s portfolio includes IT modernization, AI-driven analytics, cybersecurity, and cloud computing initiatives.
As a key defense contractor, SAIC plays a pivotal role in securing and advancing national technological capabilities.
By joining SAIC as a Data Scientist Associate, candidates will have the opportunity to work on cutting-edge data-driven solutions that support the U.S. Navy and enhance national security initiatives. This role provides a unique platform for entry-level professionals to develop expertise in data science while contributing to impactful projects in the defense sector.
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