SAIC is hiring for an entry level Associate Data Scientist role in US

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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