Data Scientist

USA FL MacDill AFB - MacDill AFB (FLC007)

General Dynamics Information Technology

Delivering consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.

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Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

Data Analysis, Data Analytics, Data Visualization

Certifications:

None

Experience:

3 + years of related experience

US Citizenship Required:

Yes

Job Description:

Job Title: Data Scientist


About the Contract:

Provide comprehensive data analytics and engineering services supporting USCENTCOM at HQ Tampa, Florida, covering both CONUS and OCONUS operations. The scope encompasses IT strategy, data management, analytics, engineering, and reporting. The role emphasizes working within an Agile framework to deliver data-driven insights and data infrastructure solutions that support decision-making. Join a specialized workforce dedicated to transforming USCENTCOM into a data-centric organization through advanced analytics, modern data engineering practices, and effective data visualization tools.

Job Description:

GDIT is seeking a Data Scientist to support data analytics and predictive analytics in support of the USCENTCOM J6 Team. This role involves working with the Data Analytic Environment (DAE) and Data Analytic Services (DAS), focusing on data management, data-centricity, data infrastructure, and analytic development to help USCENTCOM become a data-centric organization.  The Data Office team will deliver, operate, and maintain the end-to-end DAE infrastructure as well as provide a data catalog consisting of discovering, cataloging, accessing, managing, and governing geographically dispersed data, sources, metadata tags, and data analysis functions. This role focuses on data analysis, reporting, and providing actionable insights using data from multiple sources. The analyst will work closely with stakeholders to ensure data integrity and effective use of analytical tools like Power BI and Qlik, operating in an Agile environment. This role involves building robust data pipelines and generating actionable insights from diverse data sources. You will collaborate with stakeholders to ensure data integrity, optimize analytics infrastructure, and utilize tools like Power BI, Qlik, and cloud-based data/AI engineering solutions, operating within an Agile environment.

Duties and Responsibilities:

  • Develop and maintain dashboards, reports, and data visualizations using Power BI, Qlik, and other analytics tools.
  • Design, build, and maintain scalable data pipelines to ensure seamless data integration across systems.
  • Conduct data modeling, wrangling, and cleansing to ensure data quality and accuracy.
  • Utilize Azure DevOps (ADO) to manage sprints, work items, and project deliverables related to data analytics and engineering.
  • Apply Scrum/Agile methodologies to execute data projects efficiently, adapting to changing requirements.
  • Process and analyze big data using Statistical, Machine Learning modeling, to identify opportunities, patterns, and provide insights to the leadership teams to help in command capabilities.
  • Collaborate with the USCENTCOM J6 Executive Data Officer (XDO) and other stakeholders to align data analytics and engineering efforts with organizational objectives.
  • Extract, process, and analyze data from multiple sources to identify trends and insights for decision-making.
  • Ensure data quality through governance practices, including cataloging, tagging, and validation.
  • Support predictive analytics and AI/ML initiatives, including model development and deployment.
  • Participate in daily stand-ups, sprint planning, and retrospectives to ensure continuous collaboration and transparency across teams.

Education:

  • B.A./B.S. in Data Science, Computer Science, Data Engineering, or a related field.
  • Alternatively, 3-5 years of experience in data science and engineering roles.

Required Skills:

  • Proficiency in Power BI, Qlik, and Maven Smart Systems (MSS) for creating dynamic data reporting and visualization, enabling clear communication of complex data insights.
  • Strong experience in Power Platform and data engineering, including expertise in building ETL/ELT pipelines and managing data integration workflows to support analytics and insights.
  • Familiarity with cloud-based data platforms, particularly Azure and Power Platform, for secure and efficient data management, processing, and storage.
  • UI/UX design skills for developing user-friendly, insightful, and interactive dashboards and data visualization tools that facilitate ease of use and accessibility.
  • Proven ability to deliver data-driven insights and support analytics for enhanced decision-making across departments.

Desired Skills:

  • Experience with advanced analytics techniques and Knowledge of big data tools.
  • Understanding of DoD data strategy and data architectures.
  • Familiarity with military/government data environments.
  • Cloud certifications (AWS/Azure/Power Platform) are a plus.
  • UI/UX Certifications are a plus.

Clearance Requirement:

  • Active TS/SCI clearance required 

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA FL MacDill AFB

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.
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Category: Data Science Jobs

Tags: Agile Architecture AWS Azure Big Data Computer Science Consulting Data analysis Data Analytics Data management Data pipelines Data quality Data strategy Data visualization DevOps ELT Engineering ETL Machine Learning Maven ML models Pipelines Power BI Qlik Scrum Statistics UX

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Medical leave Parental leave Transparency

Region: North America
Country: United States

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