Responsibilities: Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++). Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics. Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering. Candidate selected must have an active TS/SCI clearance with a Full Scope Polygraph. Qualifications: BS 12-15, MS 10-13. Phd 10, OR 4 years of additional experience in lieu of BS Peraton Overview: Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the cant be done, solving the most daunting challenges facing our customers. Target Salary Range: $146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors. EEO: An Equal Opportunity Employer including Disability/Veteran.

Join the Nalley Consulting team as a Data Scientist at Reston, VA. U.S. GOVERNMENT ACTIVE TOP SECRET SECURITY CLEARANCE REQUIRED FOR CONSIDERATION. Positions: Data Scientist - Scientific Support (DCP 1) and Data Scientist - DSS (DCP 2) LCAT: Mid Location: Reston, VA Clearance: TS/SCI and CI poly required Desired experience: At least 8 years of experience relevant to the specific labor category, with at least a portion of the experience within the last 2 years. Desired Education: Bachelor's degree in an area related to the labor category Qualifications: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Should be skilled in data visualization and use of graphical applications, including: <ul><li>Microsoft Office (Power BI) and Tableau.</li><li>Major data science languages, such as R and Python.</li><li>Managing and merging of disparate data sources, preferably through R, Python, or SQL.</li><li>Statistical analysis.</li><li>Data mining algorithms.</li></ul> Other qualifications: <ul><li>Understanding of chemical, biological, radiological, nuclear, or missile programs.</li><li>Demonstrated ability to produce and comply with IC tradecraft standards.</li><li>Demonstrate ability to define comprehensive, new, or unique research approaches that enable rigorous assessments to address and contribute to high-level tasks.</li><li>Demonstrate in-depth analysis of analytic operations and knowledge management issues across organizational and intra-IC boundaries and clearly articulates key findings.</li></ul> ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: <ul><li>Excellent medical, dental, and vision benefits</li><li>PTO</li><li>11 paid federal holidays</li><li>Tuition assistance</li><li>Paid military-reserve leave</li><li>Paid parental leave for birth or adoption</li><li>401k matching up to 5 percent of the base salary</li><li>Flex time</li><li>Company-paid short-term disability, long-term disability, and life insurance.</li></ul>

ICF is looking for a Data Scientist with strong data engineering, statistics, machine learning, and predictive modeling skills to join our team. In addition, you will help develop AI-driven pilot projects and perform data analyses summarizing trends and modeling impacts for both internal and external clients. The ability to work standard Eastern Time is expected. What you'll be doing: <ul><li>Conceptualize and develop custom AI-driven data pipelines which address client problems, maximize efficiency, and maintain high standards of quality.</li></ul> <ul><li>Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.</li></ul> <ul><li>Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.</li></ul> <ul><li>Build quantitative models with data, and communicate the results of those models to stakeholders</li></ul> <ul><li>Help conceptualize, as well as perform, data analyses to summarize trends</li></ul> <ul><li>Develop and execute database queries that in turn support developing/formatting modeling inputs</li></ul> What you must have: <ul><li>Bachelor's degree in a technical field: Computer Science, Engineering, or related discipline</li></ul> <ul><li>US Citizenship or Green Card. Employment must be compliant with eligibility for Public Trust due to Government Contract</li></ul> <ul><li>3 or more years' experience with modeling and quantitative analysis using standard statistical software such as R, Python, SAS</li></ul> <ul><li>1 or more years' experience working with any major cloud services (experience preferred with Sagemaker, Azure ML, VertexAI or similar)</li></ul> <ul><li>2 or more years' experience with NLP, anomaly detection, graph theory, deep learning principles and practices.</li></ul> <ul><li>2 or more years' experience in SQL and DB programming</li></ul> What we'd like you to have: <ul><li>Ability to obtain a security clearance</li></ul> <ul><li>Experience with incorporating Generative AI into data transformation pipelines</li></ul> <ul><li>Experience with Deep Learning capabilities</li></ul> <ul><li>Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models</li></ul> <ul><li>Experience in reporting, story-telling and data visualization technologies such as Tableau, Shiny, Bokeh</li></ul> <ul><li>Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative</li></ul> <ul><li>Excellent listening, written, and oral communication skills</li></ul> <ul><li>Ability to exercise independent judgment while effectively prioritizing and executing tasks while under pressure</li></ul> <ul><li>Team player with the ability to work in a fast-paced environment</li></ul> Why you'll love working here: <ul><li>Generous vacation and retirement plans</li></ul> <ul><li>Comprehensive health benefits</li></ul> <ul><li>Flexible work location</li></ul> <ul><li>Diverse workforce that values equality and inclusion</li></ul> <ul><li>Ongoing training and development opportunities</li></ul> <ul><li>Friendly community with lots of social events</li></ul> <ul><li>Participation in charity initiatives</li></ul> <ul><li>Employee support program</li></ul> #Indeed #LI-CC1 #EET Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process. Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $92,986.00 - $158,076.00 Nationwide Remote Office (US99)

Description Introduction: The Customer applies technical resources to accelerate the timely, reliable, and secure delivery of open source data, information, and insights. The Customer requires developer support developing tailored solutions to tackle unique global collection problems. The work may be performed independently or within a team environment depending on the specific problem statement. Work will include developing Amazon Web Services (AWS)-based resources and the Customer needs skills spanning many compute, storage, and networking services. Work Requirements: •Work closely with the Customer's technical lead to architect, deploy, and maintain multiple, fast-turnaround capabilities used to perform various highly-visible and high-priority collection efforts. •Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, multimedia (audio, image, video, document), tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types. Data is expected to be of varying formats, schemas, and structures. •Provide Data Engineering support to include cleaning, modeling, and formatting data of unknown formats. •Move data between different cloud storage environments for critical requests. •Coordinate with multiple entities, including mission partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs. •Create and maintain collection capabilities and deliverables within the Customer's Amazon Web Services environment utilizing Customer approved AWS services. •Validate collected data to ensure it meets data format requirements. •Maintain all source code in Customer's GitHub repository. •Document all source code, including how to execute the code. •Perform operations and maintenance on the collection capabilities and deliverables to adapt to changes in collection target, technologies, data formats, and naming conventions. Qualifications Required Skills: •Demonstrated experience with Linux, Python, and cloud CLIs to interact and data in storage and transit •Demonstrated experience programmatically interacting with nested and tabular data types •Demonstrated experience programmatically interacting with multimedia file formats (videos, images, documents) •Demonstrated experience deploying scalable and maintainable ML capabilities •Demonstrated experience in building and maintaining search engines (Elastic Search, Open Search) Desired Skills: •Demonstrated experience in object oriented, modular, and maintainable programming in python •Demonstrated experience maintaining source code using Git and CI/CD pipelines •Demonstrated experience creating, programmatically working with and maintaining SQL and NO-SQL databases. •Demonstrated experience creating, managing, and working in AWS resources (EC2, Lambda, S3, IAM, Sagemaker, etc.) •Demonstrated experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure. •Demonstrated experience containerizing applications and capabilities in containers (Docker, ECSs) •Demonstrated experience in building and applying Computer Vision (CV) and Natural Language Processing (NLP) models and methods •Demonstrated experience writing effective documentation of capabilities in a shared environment SAIC accepts applications on an ongoing basis and there is no deadline. Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

The Swift Group is looking for a Data Scientist to support the development and delivery of analytic products using the client's data pipelines and virtual environment using enterprise services and cloud platform capabilities. Required Qualifications: <ul><li>3+ years of relevant experience</li><li>Demonstrated experience in cloud deployment, DevOps, containerization, web service and API management, and compute optimization</li><li>Demonstrated experience in cloud database, storage, virtualization, and network configurations</li><li>Demonstrated experience using tracking and version control tools, such as GitHub and JIRA</li><li>HS Diploma</li><li>US citizenship with an active TS/SCI with Polygraph security clearance required</li></ul> Desired Qualifications: <ul><li>Experience working with data sets including performing analytics that combine mission data sets to advance AI/ML services. </li><li>Experience with the client's authorization and accreditation (A&A) process</li><li>BA/BS Degree</li></ul> The Swift Groups is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Data Scientist Jobs in Reston, VA

Data Scientist Senior Technical Specialist
October 7, 2024

Data Scientist Mid
October 5, 2024

Data Scientist Principal To Work In Reston Va
September 30, 2024

Data Scientist Remote
September 14, 2024

Data Scientist
September 11, 2024

Data Scientist
September 11, 2024

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Data Scientist Jobs in Reston, VA

Data Scientist Senior Technical SpecialistOctober 7, 2024

Data Scientist MidOctober 5, 2024

Data Scientist Principal To Work In Reston VaSeptember 30, 2024

Data Scientist RemoteSeptember 14, 2024

Data ScientistSeptember 11, 2024

Data ScientistSeptember 11, 2024

Quick filters

Top companies

Data Scientist Senior Technical Specialist
October 7, 2024

Data Scientist Mid
October 5, 2024

Data Scientist Principal To Work In Reston Va
September 30, 2024

Data Scientist Remote
September 14, 2024

Data Scientist
September 11, 2024

Data Scientist
September 11, 2024