Data Scientist Salary at Global Alliant Inc BETA

How much does a Global Alliant Inc Data Scientist make?

As of April 2025, the average annual salary for a Data Scientist at Global Alliant Inc is $101,926, which translates to approximately $49 per hour. Salaries for Data Scientist at Global Alliant Inc typically range from $93,338 to $110,298, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Global Alliant Inc Overview

Website:
globalalliantinc.com
Size:
<25 Employees
Revenue:
<$5M
Industry:
Software & Networking

Global Alliant is an information technology (IT) consulting and software development company based in the U.S. We specialize in turning business problems into innovative and cost-effective solutions. Global Alliant achieves this simply by assigning "the right people for the right solutions at the right price. Global Alliant solutions can be tailor-made to meet our clients' specific needs. We are committed to helping our clients understand the benefits to be gained through our services.

See similar companies related to Global Alliant Inc

What Skills Does a person Need at Global Alliant Inc?

At Global Alliant Inc, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  3. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
  4. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  5. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.

Related Jobs

Bigbear.ai
Columbia , MD

Overview: BigBear.ai is seeking a Data Scientist. This contract provides operations research, modeling and simulation services to our customer and are responsible for the development and application of quantitative analytical methods, including models and simulations, to support Agency operations. The major driver in the establishment of the organization was to facilitate the integration of formal quantitative techniques into NSA/CSS processes. Knowledge and skills from the areas of: information research; systems analysis; decision analysis; operations research applications; software evaluation; software development, all phases - requirements definition, design, implementation, test and evaluation, installation, training, and documentation; modeling and simulation (M&S); Verification, Validation and Accreditation (VV&A); and the application of models to accomplish special studies and analysis projects What you will do: Develop machine learning, data mining, statistical and graphbased a


Sponsored
4/28/2025 12:00:00 AM
GLOBAL Recruitment Solutions LLC
Fort George G Meade , MD

About the job Data Scientist Clearance Required: TS/SCI with Full Scope Poly Our cilent is a government contractor, and the position require US Citizenship. The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experienc


Sponsored
4/28/2025 12:00:00 AM
ManTech
Chantilly , VA

ManTech seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Chantilly, VA. The Senior Data Scientist will possess a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation, with a particular interest or aptitude in the Cloud arena. Responsibilities include but are not limited to: Working with large, complex, and disparate data sets Designing and implementing innovative ways to analyze and exploit the Sponsor’s data holdings, particularly Cloud-related data holdings Researching and reporting on a wide variety of Sponsor inquiries Raising proactive inquiries to the Sponsor based on observations and proposed data analysis/exploitation Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies Developing custom searches


Sponsored
4/26/2025 12:00:00 AM
Boeing Intelligence & Analytics
Elkridge , MD

Data Scientist Why This is an Exciting Role: As a Data Scientist at Boeing Intelligence & Analytics, the selected candidate will be responsible for: Involvement in the analyses of unstructured and semi-structured data, employing advanced techniques such as latent semantic indexing (LSI), natural language processing (NLP), and exploratory data analysis (EDA). Utilizing non-traditional approaches to analyze large-scale unstructured data, visualizing results through multi-dimensional interfaces. Researching and testing novel machine learning approaches for analyzing large-scale distributed computing applications. Collaborating with a dynamic team to suggest innovative concepts and ideas to improve the overall platform. Leveraging strong technical and computational skills to interpret complex data and deliver recommendations for business decisions. What Makes BI&A Different: As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with ex


Sponsored
4/26/2025 12:00:00 AM
ManTech
Chantilly , VA

ManTech seeks a motivated, career and customer-oriented Expert Data Scientist to join our team in Chantilly, VA. Responsibilities include but are not limited to: Architect and design cybersecurity data repositories for an Intelligence Community customer. Design solutions for managed Cybersecurity services. Lead strategic conversations with multiple project stakeholders to clarify scope and direction on multiple simultaneous implementation efforts. Assess existing agency architecture and current solution capabilities, define and design system specifications, and input/output processes and working parameters for solution compatibilities. Provide thought leadership and strategic guidance on overall solution direction, present at project briefings, and facilitate large group technical discussions. Create project-deliverable documents in support of the Software/System Development Lifecycle (SDLC) and System Engineering Life Cycle (SELC). Evaluate security products already in use and those p


Sponsored
4/25/2025 12:00:00 AM
Top Secret Clearance Jobs
Columbia , MD

About the job Data Scientist Top Secret Clearance Jobs is dedicated to helping those with the most exclusive security clearance find their next career opportunity and get interviews within 48 hours. Job Number: R0205698Data Scientist The Opportunity:As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand


Sponsored
4/25/2025 12:00:00 AM
BlueHalo
Annapolis Junction , MD

At BlueHalo our Cyber experts operate at the mission's edge. Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science. Our team is expanding to do the big things that have never been done before - the things the nation and the world are counting on us to deliver. Join the transformation and help us make this impact now. We are seeking talented Data Scientists at all levels to join our Intel Division team. You're required to have this Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, et


Sponsored
4/24/2025 12:00:00 AM
Leidos
Washington , DC

Description Leidos has an opening for a Senior Cybersecurity Data Scientist who will support the delivery of mission enabling Information Technology Service Management/Integration and Cybersecurity for a large environment of critical national security importance. Senior Cybersecurity Data Scientist will support operations for the National Nuclear Security Administration (NNSA) Office of the Chief Information Officer (OCIO). The successful candidate will provide expertise in data science in a cyber security environment, utilizing a variety of cybersecurity-relevant data sources, data science and machine learning techniques to support the agency’s mission. Primary Responsibilities Provide proactive analysis of data based on visualization, pattern matching, and scientific methods including: Perform complex correlations across multiple data sets for the purpose of identifying malicious activity within network and system logs, network traffic, or packet capture. Collect and review vulnerabi


Sponsored
4/10/2025 12:00:00 AM

Check more jobs information at Global Alliant Inc

Job Title Average Global Alliant Inc Salary Hourly Rate
2 Director, Information Security $163,659 $79
3 Senior Technical Product Manager $178,480 $86
4 Business Operations Support Specialist $61,979 $30
5 Client Relationship Manager $87,091 $42
6 Proposal Manager $70,116 $34
7 Release Train Engineer $90,439 $43
8 Senior Product Manager $107,699 $52
9 Controller $216,900 $104
10 Manager, Recruiting $108,837 $52
11 Senior Software Engineer $105,907 $51
12 Director, Operations $164,258 $79

Hourly Pay at Global Alliant Inc

The average hourly pay at Global Alliant Inc for a Data Scientist is $49 per hour. The location, department, and job description all have an impact on the typical compensation for Global Alliant Inc positions. The pay range and total remuneration for the job title are shown in the table below. Global Alliant Inc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $101,926 look to you?

FAQ about Salary and Jobs at Global Alliant Inc

1. How much does Global Alliant Inc pay per hour?
The average hourly pay is $49. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Global Alliant Inc?
According to the data, the highest approximate salary is about $110,298 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Global Alliant Inc?
According to the data, the lowest estimated salary is about $93,338 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.