Description
Description
At SAIC, we are at the forefront of technological innovation in supporting the Navy's operational, strategic, and fleet readiness. We are committed to solving complex challenges and advancing the state of the art in Maritime Position, Navigation, and Timing (M-PNT) systems. Join us as we continue to define the future of the Navy's warfighter, delivering unparalleled solutions that make the world more connected, secure, and efficient.
Position Overview: We are currently seeking a highly skilled and motivated Data Scientist to join our talented team. This role requires advanced data analysis skills, including familiarity in machine learning, statistical analysis, data visualization, programming languages, and strong communication abilities, allowing them to design, develop, and maintain complex data models, dashboards, and analytics solutions, often mentoring junior team members while collaborating closely with stakeholders to translate data insights into actionable business decisions.
Work is performed on site in Norfolk, VA and Virginia Beach, VA.
This position is contingent upon award news Spring of 2026.
Key Responsibilities:
- Work with cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.
- Translate mission needs into an end-to-end analytical approach to achieve results.
- Perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
- Familiarity with analytics, and visualization software and programming languages, including analytics methods for big data.
- Determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence.
- Interpret the validity of results and communicates the meaning of those results.
- Follow a scientific approach to generate value from data, verifying results at each step.
- Familiarity with feature engineering, model building, and presenting findings effectively to non-technical audiences.
- Lead data science projects from conception to deployment, including defining project goals, data collection, analysis, and model evaluation.
- Familiarity with machine learning models for predictive analytics, including hyperparameter tuning and model selection.
- Manage and integrate large datasets from various sources, ensuring data quality and consistency.
- Develop interactive dashboards and reports to visualize key business metrics and insights.
- Guide and mentor junior data scientists on technical skills and best practices.
- Translate data insights into actionable business recommendations and measure the impact of data science initiatives.
What You Can Expect:
- A culture of innovation, where your ideas and contributions are valued and make an impact.
- Hands-on experience with state-of-the-art technology and field-testing opportunities.
- A supportive environment that fosters professional growth and development.
- Competitive salary and benefits package.
Qualifications
Required Qualifications:
- Bachelors and three (3) years of professional experience with data science.
- Familiarity with various machine learning algorithms like regression, classification, clustering, and deep learning to build predictive models.
- Strong understanding of statistical concepts like hypothesis testing, confidence intervals, and statistical distributions to interpret data accurately.
- Expertise in cleaning, transforming, and preparing complex datasets for analysis, including feature engineering to optimize model performance.
- Ability to create compelling data visualizations using tools like Tableau, Power BI, and Matplotlib to effectively communicate insights to stakeholders.
- Proficiency in programming languages like Python, and SQL for data manipulation, analysis, and model development.
- Familiarity with cloud platforms like AWS, Azure, or GCP for scalable data processing and model deployment is desired.
- Demonstrated written and verbal communication skills to present complex data insights to both technical and non-technical audiences, effectively collaborating with cross-functional teams.
Required Security Clearance:
- US Citizenship required.
- Must possess or be able to obtain a Department of Defense (DoD) Secret security clearance.
- Active Interim Secret or final Secret clearance is preferred.
Required certification-At least one relevant industry certification such as:
- CompTIA Cloud Essentials
- Microsoft Technical Associate (MTA)
- Certificate of Cloud Security (CCSK)
- CompTIA A+
- CompTIA Security+
- EMC Data Science Associate (EMCDSA)
- Cloudera Certified Data Scientist (CCDH)
- Certified Information System Security Professional (CISSP)
- Certified Cloud Professional (CCP) (Cloudera)
- Microsoft Certified Professional Developer (MCPD)
- Microsoft Certified Solution Developer (MCSD)
- Microsoft Certified Solution Expert (MCSE)/Private Cloud
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
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