392 Scientific Research & Development jobs in Ashburn

ManTech seeks a motivated, career and customer-oriented Data Scientist to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. You will be providing support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data science and analytics solutions that align with mission goals and requirements.

Responsibilities include but are not limited to:

• Design, develop, and deploy cloud analytics and data science solutions.
• Develop models and solutions applied to problem sets in a broad range of data science and data analytics areas, including but not limited to, graph analytics, anomaly detection, geo-spatial analysis, and data visualization.  
• Contribute data science expertise to solution development through whiteboarding sessions with clients, partners, and coworkers.
• Address data science technical challenges in the development of solutions, including algorithms, models, data manipulation, or other technical challenges related to data science and data analytics. 
• Ensure the quality and performance of analytics solutions through rigorous testing and validation.
• Adhere to security and compliance standards, ensuring the protection of sensitive government data.
• Contribute to statistical and advanced analytics models using advanced analytic techniques. Create robust and resilient data pipelines to connect data sources to analytic and AI tools and solutions.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and at least 6 years of experience OR a Master's degree and 4 years of experience. Equivalent experience will be considered in lieu of degree.
• Proven experience in Oracle Analytics Cloud or similar analytics platforms.
• Experience working across environments and on premise.
• Strong experience constructing and performing complex database search queries.
• Understanding of security and compliance standards related to handling sensitive Government data.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field
• Advanced certifications in Oracle Analytics Cloud or related technologies.
• Experience in developing and implementing machine learning models.

Clearance Requirements:

• Must possess a current and active TS/SCI with polygraph

Physical Requirements:

• Must be able to be in a stationary position more than 50% of the time 
• Must be able to communicate, converse, and exchange information with peers and senior personnel 
• Constantly operates a computer and other office productivity machinery, such as a computer 
• The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations 
• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have fun along the way. Our culture thrives on intellectual curiosity - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they are making history.

Northrop Grumman Space Systems, located in Fairfax, VA, is seeking an experienced Computational Scientist with expertise in AI/ML modeling. This role involves collaborating with a multi-disciplinary team on cutting-edge projects in free space optical communications (FSOC). The ideal candidate will have a strong background in computational science, machine learning, and applied mathematics, with experience in data analysis, high performance computing, and GPU-based model development and optimization. The candidate will collaborate with scientists and engineers to understand atmospheric effects on FSOC missions and develop computational solutions to mitigate their impacts. In this role, the candidate will lead a small team to develop, implement, and optimize solutions using the latest AI/ML or other computational techniques, and educate team members on the latest AI advancements. Key attributes include creativity, curiosity, and critical thinking. The candidate should expect to work in-office in Fairfax, VA , alongside a team of atmospheric scientists and systems and software/hardware engineers whose experience ranges from junior to senior levels. Additionally, the candidate will provide advisory support to the Program Manager on meeting customer mission requirements.

What You'll Get to Do:

• Design, develop, document, and test algorithms and applications that meet mission requirements

• Develop, implement, and optimize computational solutions, including AI/ML models, to support the mitigation of atmospheric impacts on FSOC

• Design and build data pipelines and analysis workflows for large datasets; deploy predictive models in production to support mission operations

• Collaborate with atmospheric scientists, systems and hardware engineers in planning, design, and development of atmospheric mitigation technologies.

• Meet with customers to understand requirements for mission success.

• Design and develop optimized computing algorithms and applications required to meet customers mission requirements

• Provide mentorship and guidance to other team members

• Work with junior engineers and atmospheric scientists to implement and validate algorithms

• Stay up-to-date with cutting-edge advancements in AI/ML

What you need to be successful in the role:

• Comfortable with requirements-analysis and stake-holder engagement.

• Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.

• Solid communication skills (written, verbal, and visual)

• Ability to communicate data and engineering analysis regarding conclusions that were reached.

• Ability to create and present data reports to support investigations.

• Excellent attention to detail.

• Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.

• Prioritization skills to manage workload and make sound decisions for assigned team's model development and data analysis activities.

Basic Qualifications

• Active Secret clearance at the time of application with ability to obtain and maintain a Top Secret (TS/SCI) clearance with Polygraph. US Citizenship is a requirement.

• A PhD in a physical or computational science with 7 or more years of experience.

• Experience applying AI/ML techniques to solve real-world problems

• Demonstrated use of High Performance Computing (HPC) Systems

• Demonstrated use of accelerated computing, numerical analysis, applied mathematics

• Demonstrated proficiency with Python, C++, CUDA

• Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)

• Demonstrated proficiency using libraries and toolkits including: TensorFlow, PyTorch

• Experience with Git and version control

• Experience communicating technical insights through development of briefings and/or papers

Preferred Qualifications

• Experience with C, C++, Fortran software languages

• Experience with atmospheric science and modeling

• Experience with time series modeling, or probabilistic modeling including the use and application of deep neural networks

• Proven experience designing and building data pipelines and analysis workflows for large datasets

• Proven experience deploying predictive models in production to support mission operations

• Experience interfacing and presenting to executive audiences

Salary Range: $188,200.00 - $282,200.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Overview

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.

At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around.

Contributions

We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

• Experience modeling on structured and unstructured data sets

• Experience with exploratory data analysis

• Experience in feature engineering

• Experience in data visualization

• Experience with Deep Learning methodology and state of the art libraries

• Knowledge of data collection methods, capabilities, and tasking process

• Ability to leverage multiple data management tools to organize relevant information and make decisions

• Support an Agile software development lifecycle

• You will contribute to the growth of our Data Exploitation Practice!

Qualifications

• Ability to hold a position of public trust with the US government.

• 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.

• 2-4 years direct experience in Data Modeling and Data Solution Development

• 1+ year performing queue modeling and survival analysis

• Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline

• Demonstrated experience manipulating structured and unstructured data for analysis

• Strong programming skills in SQL, Python, R, Scala, Java, or similar language

• Experience using Python to manipulate large data sets

• Experience with DevSecOps, as it applies to data science

• Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks

• Demonstrated experience in big data systems including Hadoop, Spark, Scala

• Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar

• Experience with Git, Bash, Unix commands

• Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc.

• Familiarity with Flask is a plus

• Knowledge of DBOps and MLOps framework is a plus

• Experience with Solr, Elasticsearch, or similar tool is a plus

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $100,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company , we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit .

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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Job Location US-VA-McLean

Posted Date 5 months ago (4/10/2025 3:13 PM)

Job ID 6215

Clearance Requirement Public Trust

Req ID: RQ192230

Type of Requisition: Regular

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

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Skills:

Data Engineering,Data Science,Oracle,Structured Query Language (SQL)

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

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

#GDITPolyEvent

#JET

#GDITEnhanced2025

The likely salary range for this position is $161,500 - $218,500. 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 50 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.

Join our Talent Community to stay up to date on our career opportunities and events at

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Job DescriptionJob DescriptionSalary:

Security Clearance: Active TS/SCI with FS Polygraph required

Position

Seeking a Data Scientist to support an Intelligence Client.

What You'll Do

• Assemble large, complex sets of data to meet functional and other requirements
• Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
• Construct and perform complex database search queries in multiple databases using SQL and API interfaces
• Curate and maintain data stores in support of metrics and evaluation
• Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
• Communicate and/or present product insights to technical and non-technical individuals

Required

• Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
• Proficiency with open-source programming (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
• Proficiency using mathematical, statistical, or other data-driven analysis
• Proficiency with APIs; both development/update of internal APIs and use of external APIs
• Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
• Experience in applying qualitative and quantitative data analysis methods to analytics problems
• Critical thinking and problem-solving skills for datasets which are unstructured
• Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
• Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
• Proficiency working independently or as a member of a team to research, organize, and analyze information
• Must have strong interpersonal and communication skills
  

Desired

• Experience with transforming, manipulating, and combining data using a programming , such as Python
• Experience with using git, or similar version control systems
• Experience with extract, transform and load (ETL) development for data ingest pipelines
• Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
• Experience with CI/CD pipelines
• Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
• Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsors data handling procedures
  
• Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience

• M.S. or PhD in a quantitative or STEM related major
• Experience with large scale ETL from multiple sources
• Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
• Experience with Docker or containers
• Experience with Databricks
• Experience with Graph Databases (e.g. Neo4j, Neptune)
• Experience with Graph Analytics
• Experience with Kubernetes
• Experience with Spark
• Experience programming with distributed computing
• Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

What You'll Love About Apogee

• Challenging work in support of US Intel Community - a Mission that Matters!
• Access to our cool ApogeePlex facility
  
• Support for new ideas & encouragement to take risks
• Professional Development Assistance (PDA)
• Wicked smart and collaborative coworkers
• Regular interfacing with company leadership
• 401(k) with huge company match
• Paid Time Off / Fixed & Floating Holidays
• Medical, Dental, Vision
• Health Savings Accounts / Dependent Care Flexible Spending Accounts
• Life Insurance, (Short and Long Term),Accidental Death and Dismemberment (AD&D)
  

Apogee's Mission

• Be thePROVIDERof choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
• Be theEMPLOYERof choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
• Be the SOURCEfor cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer

Data Scientist

Category: Project Management

Main location: United States, Virginia, Arlington

Position ID: J0825-1184

Employment Type: Full Time

Position Description:

CGI Federal is looking for a Data Scientist for an exciting opportunity leading state-of-the-art solutions for a gratifying mission with worldwide impact. We are searching for a creative, visionary problem solver who has a passion for delivering state-of-the-art solutions. In this role, you will deliver quality production solutions that embody solid MLOps practices to significantly expand customer capabilities.

This position is located in Arlington, VA.

Your future duties and responsibilities:

Support development of Artificial Intelligence (AI)/ML based pipelines for data inference.

Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis.

Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight.

Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data.

Verify data quality and/or ensure it via data cleaning for accuracy and completeness.

Perform statistical analysis and utilize results to improve the model and data pipeline.

Work with data engineers to design, develop, and maintain ETLs to extract, transform the data into existing data warehouses.

Collaborate with analytics teams and SMEs to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision making across the organization.

Automate data analysis to improve and enhance data.

Adept at picking up new tools and technologies.

Manage large complex projects involving diverse datasets.

Excellent technology communication and thought leadership skill.

Required qualifications to be successful in this role:

BS or MS degree in Computer Science, Engineering, Information Technology Management or related technical field.

7+ year's experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.

Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics).

Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java.

Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, C++, etc.)

Experience developing, verifying, and monitoring AI/ML Models

Familiarity with DevOps processes and code versioning tools such as git

Desired qualifications/non-essential skills required:

Master's degree in Computer Science, Engineering, Information Technology Management or related technical field.

Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data

Familiarity with industry best practices for software/hardware development when processing large data sets

Experience in the following required task areas: machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics

Experience with Hadoop, Spark, or other parallel computing processes

Experience with using the Joint Enterprise Modeling and Analytics (JEMA) framework or Apache NiFi to develop data processing workflows

Experience in AWS services including but not limited to Sagemaker, S3, EMR, and IAM.

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $78,400.00 - $150,800.00.

CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:

• Competitive compensation

• Comprehensive insurance options

• Matching contributions through the 401(k) plan and the share purchase plan

• Paid time off for vacation, holidays, and sick time

• Paid parental leave

• Learning opportunities and tuition assistance

• Wellness and Well-being programs

#CGIFederalJob

Skills:

• Apache Spark

• SciPy

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

We make it easy to translate military experience and skills! Clickhere ( to be directed to our site that is dedicated to veterans and transitioning service members.

All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.

GKY, a part of True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. With a workforce of over 600 dedicated professionals, including environmental experts, engineers, technicians, scientists, planners, surveyors, and construction management professionals, this dynamic organization operates in more than 25 offices across the U.S. Explore further at GKY.com and True-Environmental.com to discover the full scope of our capabilities.

The successful applicant will provide technical assistance for our water resources projects focusing on infrastructure inspections/investigations and stormwater sampling. The successful applicant will work under the direction of an Environmental Field Inspector Team Lead.

Many of our projects serve public sector clients that have come to expect a very high level of service and project quality from GKY. If you are a detail-oriented, highly motivated individual, this is an opportunity to grow professionally and advance your career as far as your ambition, dedication, and work ethic will take you.

What you'll do

• Assist with stormwater infrastructure inspections and investigations
• Assist with stormwater sampling and analysis
• Assist with production of field reports
• Assist with construction site erosion and sediment control measure inspections

• High School Diploma or GED
• Ability and desire to work outdoors in difficult terrain and year-round weather conditions
• Intelligence, eagerness to learn, and physically motivated
• Ability to clearly communicate, both orally and in writing, with team members as well as clients and the general public
• Demonstrated team player
• Comfortable using handheld tools and lifting heavy objects
• Excellent organization skills and attention to detail
• Strong proficiency with Microsoft Office
• Ability to multi-task, maintain flexibility, and work independently with minimal supervision
• Must have a valid driver's license, ability to pass a DMV record check, and be insurable
• Must be dependable, responsible, and have great time management skills
• Must be authorized to work in the United States

• Ability to obtain Virginia Department of Environmental Quality (DEQ) Stormwater Management (SWM) Inspector and Erosion and Sediment Control (ESC) Inspector certifications
• Basic knowledge of stormwater infrastructure
• Familiarity with the use of ArcGIS and tablet computers
• Experience reading site plans and facility design details
• Experience with land-disturbing activities requiring SWM/ESC/Stormwater Pollution Prevention Plan (SWPPP) compliance

GKY, a part of True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. With a workforce of over 600 dedicated professionals, including environmental experts, engineers, technicians, scientists, planners, surveyors, and construction management professionals, this dynamic organization operates in more than 25 offices across the U.S.

You will provide technical assistance for our water resources projects. Many of our projects serve public sector clients, which requires a high level of service and quality. Candidates should have a solid understanding of the Virginia Pollutant Discharge Elimination System (VPDES) stormwater program, including Municipal Separate Storm Sewer System (MS4) and Total Maximum Daily Load (TMDL) compliance. We are looking for a passionate person who is self-motivated and eager to provide support and expertise to our water resources engineering and planning projects.

• Provide leadership in water resources and regulatory compliance consulting including:
• MS4 and TMDL program planning and implementation
• Stormwater infrastructure inspections and investigations including but not limited to the following:
• Stormwater management (SWM) facility inspections
• Pollution prevention and good housekeeping/Stormwater Pollution Prevention Plan (SWPPP) site visits and inspections
• Construction site management/erosion and sediment control (ESC) measure inspection
• Other environmental-related field activities
• Inspection report and planning document preparation and review (Quality Assurance/Quality Control)
• Stormwater training development, coordination, and delivery
• Client and project staff coordination

• Bachelor's degree in environmental science or related field
• 5 years of practical experience with Clean Water Act (CWA) programming compliance and implementation, with specific experience with MS4 and TMDL related planning
Experience developing and implementing stormwater programming documents, such as:
• MS4 Program Plans and Annual Reports
• TMDL Action Plans
• Industrial and High Priority Municipal Facility SWPPPs
• Pollution Prevention/Good Housekeeping Procedures
• Knowledge of stormwater infrastructure including SWM facilities
• Strong proficiency with Microsoft Office
• Ability to perform fieldwork in difficult terrain and year-round weather conditions
• Field data collection and GPS techniques using Esri products such as Collector, Field Maps, and Survey 123 Esri Desktop ArcGIS software (ArcMap and Pro)
• Ability to clearly communicate, both orally and in writing
• Valid driver's license

• Regulatory compliance assistance
• Conducting compliance inspections
• Reading site plans and facility design details
• Nutrient management planning
• Stormwater sampling techniques and protocols
• Working with local government and/or state transportation agencies
• Excellent organization skills
The following certifications:
• Virginia DEQ SWM & ESC Inspector certifications
• Virginia DCR NMP certification

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

QinetiQ US seeks a highly skilled Sr Data Scientist responsible for collecting, analyzing, and interpreting data to drive informed business decisions and improve operational efficiency. Your expertise in utilizing Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders. Must have demonstrated experience explaining complex technical concepts in plain language to federal government clients.

Location : Washington, D.C. Metropolitan Area.

Apply appropriate mathematical methods to statistically analyze a data sets using R or Python
• Being able to work with one or more of the following: Databricks, Qlik, Tableau, ArcGIS, GitHub, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL
• Modeling and simulation to include predictive and formulaic, discrete event simulation (DES), and network analysis
• Conceptualize, plan, design, and develop deep learning/artificial intelligence algorithms for multi-objective optimization and decision-making tools focused on solving resource allocation/prioritization problems.
• Apply experience in implementing the Data Analysis Epicycle and performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining.
• Develop algorithms in a High-Performance Computing (HPC) environment using custom multi-core desktop computers and Microsoft MPI
• Produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook.
• Perform queries, conduct analysis, and produce reports utilizing R, Databricks, SQL, MS Access, MS Excel

• MA/MS degree or PhD in a relevant field, including but not limited to: Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, Artificial Intelligence (AI), Machine Learning, Operations Research, Information Systems, Business Analytics.
• Minimum ten years of relevant experience or B.S in business, technical, engineering, or related field, or equivalent work experience with 15+ years of experience

• Experienced working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
• Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, e.g., Databricks, Qlik.
• Proven ability to produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook.
• Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining.
• Direct experience interfacing with federal agencies, as an employee or contractor preferably at DHS

• Ability to obtain and maintain appropriate federal security clearance.
• Background investigation required.
• Must be U.S. citizen.

• Experience supporting federal homeland security initiatives
• Professional certifications in job-relevant fields, including, but not limited to:
  • Advanced Data Science: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)
  • Machine Learning and AI: Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate; AWS Certified Machine Learning - Specialty; Google Professional Machine Learning Engineer or Databricks equivalent

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to or call ( Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.