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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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