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Data Scientist
ECS LimitedUnited States
ECS is seeking aData Scientistto work in ourArlington, VAoffice.Please Note: This position is contingent upon additional funding].Responsibilities include:Works independently and within teams to use t
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SOS International LLCUnited StatesRemote, OR, USAFull-timeClearance Requirement: NoneCompensation: USD67351 - USD139882 - yearlyCompany DescriptionFounded in 1989, SOSi is among the largest private, founder-owned technology and servic
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Veridic SolutionsUnited StatesPosition: Sr. Data scientist Location: Boston, MAData scientists typically build scalable, re-usable data science products, usually containing statistical or machine learning algorithms, in collaborat
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Clarity LLCUnited StatesSenior Data ScientistClarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Comm
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AAreteNew YorkDescription Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S., India, and E
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Solace HealthNew YorkAbout Solace Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through
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UPSUnited StatesBefore you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innova
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Altamira Technology CorporationUnited StatesData ScientistClearance: TS/SCI/FS PolyLocation: McLean VAAltamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headqu
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PACCAR WinchUnited StatesData Scientist Apply now »Apply nowApply NowStart applying with LinkedInStartPlease wait...Date: Jun 26, 2026Location: Renton, WA, US, 98055Company: PACCARRequisition SummaryAs a Data Scientist you’ll
Data Scientist
1872 ConsultingUnited StatesData ScientistWashington DC or Remote Full Time ResponsibilitiesModeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and vi
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Department of Health and Human ServicesUnited StatesDutiesAdvises on workforce and HR data reporting. Collects, organizes, analyzes, and interprets specialized HR data sets, including but not limited to recruitment, staffing, retirement, separations. C
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FedExUnited StatesSr Data Scientist And Data Scientist Advisor PositionsFederal Express Corporation is seeking qualified applicants for Sr Data Scientist and Data Scientist Advisor positions. By applying to this postin
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AA2ITUnited StatesData ScientistRate: $45/HR Location: 1609 Biddle Avenue, Wyandotte, MI 48192 The candidate should have or be working toward a bachelor's degree in computer/computational science or related discipline
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Howmet AerospaceUnited StatesResponsibilitiesJOB SUMMARY:The Data Scientist positions will be located in the Howmet Wichita Falls facility and working in a close cross-functional team environment.Job Roles Systems thinker --sees
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The Junction LLCUnited StatesHealthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're entering an era where data is
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Help At HomeUnited StatesOverviewAs the nation’s leading provider of high-quality home care services, we empower our clients to live independently, safely, and with dignity in their own homes. The home is more than a place –
Data Scientist
LeidosHerndonDescriptionLeidos is actively interviewing for a Data Scientist to join our team in Springfield, VA. Job Summary Senior-most technical position responsible for leading the design, development, deploym
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LeidosFairfaxDescriptionLeidos is actively interviewing for a Data Scientist to join our team in Springfield, VA. Job Summary Senior-most technical position responsible for leading the design, development, deploym
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TeamWork OnlineUnited StatesData ScientistThe Boston Red Sox seek a Data Scientist for the club's Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision-making across all aspects
À propos
Data Scientist
to work in our
Arlington, VA
office.
Please Note: This position is contingent upon additional funding].
Responsibilities include:
Works independently and within teams to use the necessary data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data to complete varied projects and tasks. Researches, designs, and develops visualization solutions using a range of methods which support investigative and audit products. Designs experiments, tests hypotheses, and builds scalable models using data science and artificial intelligence (e.g. machine learning) methods. Designs, develops, and adapts mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions. Leads artificial intelligence activities such as natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance. Translates complex technical findings into an easily understood narrative. Prepares comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials. Develops project communications and maintains effective working relationships between project teams, stakeholders, and management. Provides advice on issues affecting projects, such as data access, quality, storage, and other related needs. Contributes to and presents training and conference materials to large audiences. Independently performs comprehensive and efficient data collection and analysis of a variety of data sources to develop trends, descriptive statistics, or other insights. Uses expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports. Independently researches, extracts, evaluates, interprets, and visualizes data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse. Uses relational databases, data lakes, data lakehouses, and other data environments to create a variety of analytic products such as business intelligence tools, summary tables, comparison graphs, or temporal, association, and link analysis charts. Interacts with other agencies and builds relationships with peers to share information and learn the latest developments in analytical tools and techniques to effectively support the OIG with mission related work. Develops substantial knowledge of database applications and environments and shares expertise with coworkers in support of agency goals and objectives. Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools. Review, analyze, and modify existing products including coding, debugging, testing, and documenting. Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software. Assist with training and conference development which may include presentations to large audiences. Facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff. Ensure that quality/security guidelines are followed. Coordinate with staff and customers to identify business and technical requirements. Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs. Assist the agency in the development of programming and visualization solutions. Troubleshoot and provide support on existing projects or application efforts. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate, assess, document, and test data security and continuity of operations for systems and programs. Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings. Salary Range: $130,000-$137,000
General Description of Benefit
Degree in Computer Science, Information Technology, Data Analytics, or related field. 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts). 3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods. At least 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake. At least 1 year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake. Experience with Azure DevOps and/or GitHub to support continuous integration and delivery pipelines, and operate within Agile frameworks to iteratively deliver high-quality data products, machine learning models, and artificial intelligence solutions. Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable analytics workflows, and enable effective collaboration across teams. Integrate disparate and diverse data sources-including flat files, relational databases, and external systems-using techniques such as JDBC/ODBC connections, REST APIs, and web-scraping methods to support robust analytics and data-driven decision-making. Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas. Knowledge of ODBC connection strings, and other external data source connection protocols. Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports. Knowledge and experience using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods. Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.). Knowledge of AWS or Azure Services, including Databricks, Data Factory, Data Lakehouses, and Data Lake. Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools. Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications. Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages. Skill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods. Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders. Strong relational database and querying languages experience. Strong verbal and written communication skills. Must be able to work effectively in a team environment. Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Compétences linguistiques
- English
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