Req ID:  RQ196121
Type of Requisition:  Regular
Clearance Level Must Be Able to Obtain:  None
Public Trust/Other Required:  Other
Job Family:  Data Science
Skills:
Analytical Thinking, Data Interpretations, Statistics
Experience:
5+ years of related experience
Job Description:
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.
As a Data Scientist, you will help ensure today is safe and tomorrow is smarter. Our work depends on you to utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets, find opportunities for product and process optimization, and test the effectiveness of different courses of action. You will mine and analyze the Centers for Medicare and Medicaid Services (CMS) data, use a variety of data tools, build and implement models, use/create algorithms, and create/run simulations. You will assess the effectiveness and accuracy of new data sources and data gathering techniques, driving business results with data-based insights. Work visa sponsorship will not be provided for this role.
In this role, a typical day will include:
Performing scientific work associated with analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Developing data-driven solutions to difficult business challenges.
Assisting with identifying opportunities for leveraging company data to drive business solutions.
Developing processes and machine learning based tools to monitor and analyze model performance and data accuracy.
Interpreting data and preparing reports on analyses, findings, and project progress, and presenting results to management and/or customers/stakeholders.
Managing and monitoring the integrity of data ensuring quality, accuracy, and timely delivery of contract requirements.
Planning, developing, testing, and documenting highly complex applications programs.
Conferring with end-users to analyze specified methods and procedures, identify problems, and document specific requirements.
Providing input to staff involved in writing and updating technical documentation such as user manuals, product specifications, and training materials.
Performing a variety of testing procedures on assigned products, analyzing test results, and correcting problems.
Using predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
WHAT YOU’LL NEED TO SUCCEED:
Bachelor’s degree or higher
5+ years of related data experience
Experience working at the Centers for Medicare and Medicaid Services (CMS)
Knowledge of principles, methods, and procedures of data analysis
Information visualization experience, turning data into professionally designed dashboards with meaningful insights
Ability to translate business requirements into non-technical, lay terms
Candidate  must  have lived in the United States at least three (3) out of the last five (5) years.
Candidate  must  be able to obtain Public Trust clearance.
PREFERRED SKILLS:
Experience using Tableau Creator
Experience with Python scripting
Salesforce and Salesforce Visual Force experience
High-level experience in methodologies and processes for managing large scale databases
Experience working in an Agile environment
Experience working with JIRA, Confluence, and SharePoint
Ability to manage time effectively, work under time pressure, meet schedules and deadlines, multi-task, plan, organize, and prioritize work assignments while paying close attention to detail
GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays
The likely salary range for this position is $115,786 - $156,652. This is not a guarantee of compensation or salary. Salary will be set based on experience, geographic location, and possibly contractual requirements and could fall outside of this range.
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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

#J-18808-Ljbffr

Req ID:  RQ195531
Type of Requisition:  Regular
Clearance Level Must Be Able to Obtain:  None
Public Trust/Other Required:  None
Job Family:  Data Science
Skills:
Center for Medicare and Medicaid Services, Data Science, Datasets, Statistics
Experience:
2 + years of related experience
Job Description:
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.
At GDIT, people are our differentiator. As a Data Scientist, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Scientist joining our remote team to utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets, use large data sets to find opportunities for product and process optimization, and use models to test the effectiveness of different courses of action. You will mine and analyze the Centers for Medicare and Medicaid Services (CMS) data, use a variety of data tools, build and implement models, use/create algorithms, and create/run simulations. You will assess the effectiveness and accuracy of new data sources and data gathering techniques, driving business results with data-based insights. Work visa sponsorship will not be provided for this role.
In this role, a typical day will include:
Performing scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
Developing data-driven solutions to difficult business challenges.
Assisting with identifying opportunities for leveraging company data to drive business solutions.
Developing processes and machine learning based tools to monitor and analyze model and performance and data accuracy.
Interpreting data and preparing reports on analyses, findings, and project progress, and presenting results to management and/or customers/stakeholders.
Managing and monitoring the integrity of data ensuring quality, accuracy, and timely delivery of contract requirements.
Planning, developing, testing, and documenting highly complex applications programs.
Conferring with end-users to analyze specified methods and procedures, identify problems, and document specific requirements.
Providing input to staff involved in writing and updating technical documentation such as users manuals, product specifications, and training materials.
Performing a variety of testing procedures on assigned products, analyzing test results, and correcting problems.
May use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
WHAT YOU’LL NEED TO SUCCEED:
Bachelor's degree or higher
2+ years of related data experience
Experience working at the Centers for Medicare and Medicaid Services (CMS)
Knowledge of principles, methods and procedures of data analysis
Information visualization experience, turning data into professionally designed dashboards with meaningful insights
Ability to translate business requirements into non-technical, lay terms
Candidate  must  have lived in the United States at least three (3) out of the last five (5) years.
Candidate  must  be able to obtain Public Trust clearance.
PREFERRED SKILLS:
Experience using Tableau Creator
Experience with Python scripting
Salesforce and Salesforce Visual Force experience
High-level experience in methodologies and processes for managing large scale databases
Experience working in an Agile environment
Experience working with JIRA, Confluence, and SharePoint
Ability to manage time effectively, to work under time pressure, to meet schedules and deadlines, to multi-task, to plan, organize and prioritize work assignments and pay close attention to detail
GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays
The likely salary range for this position is $81,600 - $110,400. 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.
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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

#J-18808-Ljbffr

Type of Requisition:
Regular
Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph
Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph
Public Trust/Other Required:
None
Job Family:
Data Science
Job Qualifications:
Skills:
Data Engineering, Data Science, Oracle, Structured Query Language (SQL)
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
Yes
Job Description:
The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission-focused role requiring experience with deploying models in a production environment against real-time collection.
HOW A DATA SCIENTIST WILL MAKE AN IMPACT
Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks

Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements

Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making

Improve data architecture decisions with data engineers to better stage data for continuous training models in production

Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

REQUIRED TECHNICAL SKILLS
Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing

Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes

Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis)

Demonstrated experience with GPU processing

Demonstrated experience applying machine learning methodologies to build high-quality prediction models

Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

Familiar with database methodologies

Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

WHAT YOU’LL NEED TO SUCCEED:
10+ years of related data science/statistical experience and 2+ years of software engineering or data engineering experience

Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 additional years job-related experience

TS/SCI with SCI Poly clearance

Excellent organizational, coordination, interpersonal and team building skills

Location: At Customer Site – near Tyson Corner

Scheduled Weekly Hours:
40
Travel Required:
None
Telecommuting Options:
Onsite
Work Location:
USA VA McLean
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.

#J-18808-Ljbffr

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Software Development

Job Qualifications:

Skills:

Application Development, Data Science, Software Development, Software Development Tools

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

This is an exciting opportunity to obtain a TS/SCI clearance with Polygraph and open a whole new world of exciting career opportunities. We are seeking candidates in the following labor categories:

Software Developer / Software Engineer

Data Scientist

Experience:  5+ years

Once successfully cleared, you would interview for specific positions at that time.

The work will be located at one of the Sponsor’s facilities in the Washington Metro Area.

Estimated time to complete the clearance sponsorship process is approximately 24 months (+/-).

Interested candidates should be local to the Washington Metro Area.

REQUIRED QUALIFICATIONS:

Experience in design and develop tools.

Experience in providing operations and maintenance of operational systems.

Experience modifying existing software to correct errors, allow it to adapt to new hardware or software, or to improve its performance.

Experience in analyzing user needs and software requirements to determine feasibility of design within time and cost restraints.

Experience consulting with customers about software system design and maintenance.

Experience developing and directing software system testing and validation procedures, programming, and documentation.

Experience conferring with systems analysts, engineers, programmers and others to obtain information on project limitations and capabilities, performance requirements and interfaces.

Experience in compiling and writing documentation of program development and subsequent revisions, inserting comments in the coded instruction so others can understand the program.

Experience in writing, updating, and maintaining computer programs or software packages for receiving, transmitting, processing and storing mission data.

Experience consulting with managerial, engineering, and technical personnel to clarify program requirements.

Experience identifying complex problems and review related information to develop and evaluate options and implement new ones.

Experience in testing, debugging, and refining the computer software to produce the required product.

Demonstrated experience with Java and Python programming languages.

Demonstrated experience with Amazon Web Services (AWS), and cloud computing platforms.

Demonstrated experience exhibiting analytical skills to assess customer requirements and create innovative solutions.

Demonstrated experience exhibiting problem solving skills to include debugging and testing web applications.

Demonstrated experience with current database technology.

Demonstrated experience with SQL, MYSQL, Postgres.

Demonstrated experience working in an Agile environment, utilizing agile methodologies.

Demonstrated experience working with AI/ML technologies, platforms, or processes.

WHAT GDIT CAN OFFER YOU

Alignment to a mission-critical role that directly impacts the customer’s ability to effectively execute its mission.

Direct engagement with contractor leadership that centers upon career development/mobility, enhanced performance evaluation, and corporate information sharing & networking opportunities.

Placement on a dynamic team of talented professionals that organically fosters an environment of innovation, collaboration, and trust.

The likely salary range for this position is $162,019 - $219,203. 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 VA McLean

Additional Work Locations:

USA VA Chantilly

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.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

#J-18808-Ljbffr

Type of Requisition:
Regular
Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph
Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph
Public Trust/Other Required:
None
Job Family:
Data Science
Job Qualifications:
Skills:
Analytical Thinking, Data Science, Oracle, Structured Query Language (SQL)
Certifications:
None
Experience:
15 + years of related experience
US Citizenship Required:
Yes
Job Description:
The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT:
Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.

Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements.

Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making.

Improve data architecture decisions with data engineers to better stage data for continuous training models in production.

Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

REQUIRED TECHNICAL SKILLS:
Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing.

Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes.

Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis).

Demonstrated experience with GPU processing.

Demonstrated experience applying machine learning methodologies to build high-quality prediction models.

Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure.

Familiar with database methodologies.

Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck).

Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano.

Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving.

WHAT YOU’LL NEED TO SUCCEED:
The position requires an active TS/SCI with Polygraph security clearance.

The position requires fifteen (15+) years of related data science/statistical experience and three (3+) years of software engineering or data engineering experience.

The position requires Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent four (4) additional years job-related experience.

Excellent organizational, coordination, interpersonal and team building skills.

The position is on customer site.

GDIT IS YOUR PLACE:
401K with company match.

Comprehensive health and wellness packages.

Internal mobility team dedicated to helping you own your career.

Professional growth opportunities including paid education and certifications.

Cutting-edge technology you can learn from.

Rest and recharge with paid vacation and holidays.

The likely salary range for this position is $199,750 - $270,250. 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:
None
Telecommuting Options:
Onsite
Work Location:
USA VA McLean
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.

#J-18808-Ljbffr

Req ID:  RQ192232

Type of Requisition:  Regular

Clearance Level Must Be Able to Obtain:  Top Secret SCI + Polygraph

Public Trust/Other Required:  None

Job Family:  Data Science

Skills:

Analytical Thinking,Data Science,Oracle,Structured Query Language (SQL)

Experience:

15 + years of related experience

US Citizenship Required:

Yes

Job Description:

The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT:

Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks

Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements

Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making

Improve data architecture decisions with data engineers to better stage data for continuous training models in production

Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

REQUIRED TECHNICAL SKILLS:

Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing

Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes

Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis)

Demonstrated experience with GPU processing

Demonstrated experience applying machine learning methodologies to build high-quality prediction models

Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

Familiar with database methodologies

Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving

WHAT YOU’LL NEED TO SUCCEED:

The position requires an active TS/SCI with Polygraph security clearance

The position requires fifteen (15+) years of related data science/statistical experience and three (3+) years of software engineering or data engineering experience

The position requires Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent four (4) additional years job-related experience

Excellent organizational, coordination, interpersonal and team building skills

The position is on customer site

GDIT IS YOUR PLACE:

401K with company match

Comprehensive health and wellness packages

Internal mobility team dedicated to helping you own your career

Professional growth opportunities including paid education and certifications

Cutting-edge technology you can learn from

Rest and recharge with paid vacation and holidays

#OpportunityOwned #GDITCareers #WeAreGDIT #CompanyWithASoul #Jet #GDITPolyEvent #GDITEnhanced2025

The likely salary range for this position is $199,750 - $270,250. 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.

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.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Type of Requisition:   Regular
Clearance Level Must Currently Possess:   None
Clearance Level Must Be Able to Obtain:   None
Public Trust/Other Required:   None
Job Family:   Data Science
Job Qualifications:
Skills:  Data Analysis, Data Science, Machine Learning, Machine Learning Algorithms, Predictive Analytics
Certifications:  None
Experience:  8 + years of related experience
US Citizenship Required:   No
Job Description:
GDIT is seeking a skilled  Data Scientist Advisor  with experience supporting federal agencies in the health sector. The ideal candidate will leverage advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making and insights. This role involves supporting a range of data science projects and initiatives, including health informatics, predictive analytics, and program evaluation.
Responsibilities include data wrangling, visualization, and algorithm development to enhance public health outcomes. Candidates should have expertise in Python, R, SQL, and cloud-based data solutions, along with a deep understanding of federal health data standards, policies, and compliance frameworks. Strong communication skills are essential for collaborating with cross-functional teams and stakeholders to translate complex data into actionable insights that support mission-driven health initiatives.
Essential Functions & Responsibilities    Provide expert consultation in data science, machine learning, and analytics to support federal health initiatives.
Curate, manage, integrate, analyze, and visualize large and complex datasets to enhance research, decision-making, and program initiatives.
Develop predictive analytics, forecasting models, and data-driven solutions to address public health challenges.
Design and implement scalable data storage, integration, and governance solutions while ensuring compliance with industry best practices and regulations.
Build and manage databases, computational tools, and automation processes to streamline data analysis, surveillance, and public health initiatives.
Stay ahead of emerging trends in AI, machine learning, and data science, sharing best practices and mentoring junior professionals.
Collaborate with stakeholders on research publications, conference presentations, and data-driven insights to support program goals.
Oversee project resources, documentation, and compliance with federal policies and performance guidelines.
Required Skills and Experience:    Master’s degree with 10+ years of experience in data science, machine learning, computer science or a related field.
Proven expertise in applying advanced tools and methodologies across various domains, including statistical modeling, experimental design, and the creation of publication-quality data visualizations.
5+ years of experience in developing and implementing machine learning techniques, including classical ML models, transformer-based models, computer vision, large language models (LLMs), and neural networks, using standard Python packages such as Scikit-Learn and Matplotlib.
5+ years of experience with programming and data analysis using SQL, Python, R, and Linux, as well as proficiency in Bash scripting and Jupyter Notebooks in both local and cloud-based environments.
Eligibility for Public Trust Clearance, with the ability to obtain and maintain HHS/HRSA Suitability background investigation.
Desired Skills and Experience:    5+ years of experience as a Data Scientist or in a similar role, with a strong track record in data architecture and machine learning.
Experience developing statistical models and implementing machine learning algorithms, with a strong understanding of forecasting models and their real-world applications to derive actionable insights.
Strong expertise in machine learning, including transformer-based models, computer vision, and large language models (LLMs) on AWS and Azure.
Hands-on experience with data integration tools and ETL (Extract, Transform, Load) processes. Expertise in building data pipelines and automating reporting workflows.
Proficiency in SQL, Python, and R for data analysis and model development.
Experience with data visualization tools such as Tableau or Power BI for deriving and communicating business insights.
Strong problem-solving, communication, and leadership skills, with the ability to collaborate across teams and stakeholders.
Ability to work independently, manage multiple projects simultaneously, and take ownership of tasks from ideation to execution.
Proficiency in writing queries, working with engineering teams to source, transform, and analyze data effectively.
Ability to formulate business-driven questions and develop data-driven solutions.
Experience evaluating system performance and reverse engineering application business logic to optimize data processes.
Programming proficiency in at least one of the following: Java, VBA, Python, Fortran, C, or C++.
The likely salary range for this position is $121,680 - $149,500. 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:   None
Telecommuting Options:   Hybrid
Work Location:   USA MD Gaithersburg
Additional Work Locations:   USA VA Falls Church
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. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

#J-18808-Ljbffr

Req ID:  RQ192498

Type of Requisition:  Regular

Clearance Level Must Be Able to Obtain:  None

Public Trust/Other Required:  None

Job Family:  Data Science

Skills:

Artificial Intelligence (AI),Data Analysis,Machine Learning,Python (Programming Language),Structured Query Language (SQL)

Experience:

2 + years of related experience

Job Description:

Seize your opportunity to make a personal impact as a  Cloud Data Scientist  supporting the CMS Cloud team. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. The Cloud Data Scientist is responsible for activities related to implementing approaches for analyzing cost and usage information including modeling, visualization, reporting, and analytics. A successful candidate will be able to contribute to data collection and visualization, as well as identify and implement solutions that use statistics, machine learning, and artificial intelligence to enhance data value. This role guarantees CMS and the application owners have the information needed to ensure the hybrid cloud is efficient, effective, and secure.

HOW YOU WILL MAKE AN IMPACT   :

Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges

Design, implement, test and maintain the ETL, ODBC, and/or API processes to ingest and prepare data for analysis

Analyze internal and/or industry data using statistical techniques and provide reports/feedback

Summarize and communicate those answers to other teams in the organization for action and decision making

Access data, cleanse data, perform statistical analysis, visualize data and communicate results

Identify, analyze, and interpret trends in multiple data sets

Assisting coworkers with collecting and reviewing financial data from various Cloud sources. (i.e. Cloudtamer, CloudCheckr, Cloud native cost management tools) using APIs

Performing technical analysis to help Business Owners determine the impact of cloud adoption

Providing financial analysis on AWS services to determine areas of optimization

Creates, maintains, updates financial deliverable via Microsoft Excel or other financial dashboards

Analyzes customer cloud requirements and provide technical knowledge on cloud computing techniques and technologies of low- moderate complexity

Research, evaluate, and deploy cloud computing optimization techniques

Assists with the management of the AWS master payer account with 900+ linked accounts

Extensive, timely customer service

AWS & MAG Cost analysis using deep understanding of Cost usage reports - writing SQL queries in AWS (Athena) to customize reports is a plus

Assist with validating and improving BI Dashboards (e.g., QuickSight, PowerBI)

Using AWS Trusted Advisor, Cost Anomaly, QuickSight, Bedrock

Participates in special projects as required

WHAT YOU’LL NEED TO SUCCEED:

Education  : Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience

Required Experience  : 2+ years relevant experience in Cloud or Financial Operations specifically with AWS

Required Technical Skills  : Strong Python program language skills (boto3); Ability to run API queries on cost and billing data; Experience with SQL queries; JSON & YAML experience; Experience in CloudWatch metrics, S3, Cost and Usage Data; Cloud optimization expertise in AWS experience required; Understanding of Cloud Technologies; Being able to look at a large data set and identify trends; General statistics and economics skills; Expert level experience with Microsoft Excel; Experience with machine learning and artificial intelligence such as AWS SageMaker and AWS Bedrock

Security Clearance Level  :No clearance needed

Required Skills and Abilities  : Effective communication skills both orally and written; Effective organizational skills; Experience with communicating complex data analysis clearly and understandably to people with no statistics or programming background

Preferred Skills  : AWS Certification; Master's degree is preferred; Microsoft Azure is a plus

Location:  100% remote working; DMV preferred; Program resources must be willing to travel occasionally to the MD/VA/DC area on an as needed basis.

US Residency:  Applicants shall have lived in the United States at least three (3) out of the last five (5) years prior to submitting an application for a Federal ID Card

Working Hours:  Monday-Friday 9am to 5:30pm eastern time. All resources on the program must support occasional incident/issue during non-core business hours.

GDIT IS YOUR PLACE:

401K with company match

Comprehensive health and wellness packages

Internal mobility team dedicated to helping you own your career

Professional growth opportunities including paid education and certifications

Cutting-edge technology you can learn from

Rest and recharge with paid vacation and holidays·

The likely salary range for this position is $90,100 - $121,900. 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.

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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Req ID:  RQ196477

Type of Requisition:  Regular

Clearance Level Must Be Able to Obtain:  None

Public Trust/Other Required:  None

Job Family:  Data Science

Skills:

Data Analysis,Data Science,Machine Learning,Machine Learning Algorithms,Predictive Analytics

Experience:

8 + years of related experience

Job Description:

GDIT is seeking a skilled  Data Scientist   Advisor  with experience supporting federal agencies in the health sector. The ideal candidate will leverage advanced analytics, machine learning, and statistical modeling to drive data-driven decision-making and insights. This role involves supporting a range of data science projects and initiatives, including health informatics, predictive analytics, and program evaluation.

Responsibilities include data wrangling, visualization, and algorithm development to enhance public health outcomes. Candidates should have expertise in Python, R, SQL, and cloud-based data solutions, along with a deep understanding of federal health data standards, policies, and compliance frameworks. Strong communication skills are essential for collaborating with cross-functional teams and stakeholders to translate complex data into actionable insights that support mission-driven health initiatives.

Essential Functions & Responsibilities

Provide expert consultation in data science, machine learning, and analytics to support federal health initiatives.

Curate, manage, integrate, analyze, and visualize large and complex datasets to enhance research, decision-making, and program initiatives.

Develop predictive analytics, forecasting models, and data-driven solutions to address public health challenges.

Design and implement scalable data storage, integration, and governance solutions while ensuring compliance with industry best practices and regulations.

Build and manage databases, computational tools, and automation processes to streamline data analysis, surveillance, and public health initiatives.

Stay ahead of emerging trends in AI, machine learning, and data science, sharing best practices and mentoring junior professionals.

Collaborate with stakeholders on research publications, conference presentations, and data-driven insights to support program goals.

Oversee project resources, documentation, and compliance with federal policies and performance guidelines.

Required Skills and Experience:

Master’s degree with 10+ years of experience in data science, machine learning, computer science or a related field.

Proven expertise in applying advanced tools and methodologies across various domains, including statistical modeling, experimental design, and the creation of publication-quality data visualizations.

5+ years of experience in developing and implementing machine learning techniques, including classical ML models, transformer-based models, computer vision, large language models (LLMs), and neural networks, using standard Python packages such as Scikit-Learn and Matplotlib.

5+ years of experience with programming and data analysis using SQL, Python, R, and Linux, as well as proficiency in Bash scripting and Jupyter Notebooks in both local and cloud-based environments.

Eligibility for Public Trust Clearance, with the ability to obtain and maintain HHS/HRSA Suitability background investigation.

Desired Skills and Experience:

5+ years of experience as a Data Scientist or in a similar role, with a strong track record in data architecture and machine learning.

Experience developing statistical models and implementing machine learning algorithms, with a strong understanding of forecasting models and their real-world applications to derive actionable insights.

Strong expertise in machine learning, including transformer-based models, computer vision, and large language models (LLMs) on AWS and Azure.

Hands-on experience with data integration tools and ETL (Extract, Transform, Load) processes. Expertise in in building data pipelines and automating reporting workflows.

Proficiency in SQL, Python, and R for data analysis and model development.

Experience with data visualization tools such as Tableau or Power BI for deriving and communicating business insights.

Strong problem-solving, communication, and leadership skills, with the ability to collaborate across teams and stakeholders.

Ability to work independently, manage multiple projects simultaneously, and take ownership of tasks from ideation to execution.

Proficiency in writing queries, working with engineering teams to source, transform, and analyze data effectively.

Ability to formulate business-driven questions and develop data-driven solutions.

Experience evaluating system performance and reverse engineering application business logic to optimize data processes.

Programming proficiency in at least one of the following: Java, VBA, Python, Fortran, C, or C++.

The likely salary range for this position is $121,680 - $149,500. 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.

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.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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