502 Data Annotator Information Technology jobs in Washington,DC

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Data Entry Clerk Work From Home - Part-Time Focus Group Participants ($750/Week)

Apex Focus Group - Washington, DC

Data Entry Clerk Work From Home - Part-Time Focus Group Participants ($750/Week)

$750/wk

RemoteNo Experience

New, Posted 1 hour ago

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Information Technology Professional (IT Support)

US Navy

Hyattsville, MD 20783

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Bethesda, MD 20817

~ 25 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

New, Posted 1 hour ago

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Information Technology Professional (IT Support)

US Navy

Kensington, MD 20895

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Information Technology Director

KPMG

Washington Navy Yard, DC 20398

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Event Technology Specialist

NAFSA: Association of International Educators

Washington, DC 20005

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Associate's degree in information technology or related field, or equivalent combination of education and experience.
Minimum of two (2) years of experience servicing an IT Help or Service Desk, or hands-on experience providing end-user support for web-based applications.
Demonstrated experience in effectively supporting end-users of web-based software applications.
Ability to present ideas with technical language to non-technical audiences as well as the capacity for translating requirements from business owners and customers into technical specifications.
Proven ability to use, teach, and troubleshoot a variety of software applications.
A continuous improvement mindset to proactively identify areas for optimization in processes and systems to implement enhancements that improve overall reliability and efficiency.
Ability to master new systems quickly and to effectively research a wide range of issues when troubleshooting user issues.
Effective and friendly communication skills with the ability to assist users of various skill levels and backgrounds.
Effective team collaborator with excellent oral and written communication skills; at ease leading meetings and trainings.
Demonstrated experience participating in project-based work structures, working on project teams, and managing tasks and timelines.
Ability to prioritize and execute tasks under pressure.

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Retail Data Collector

SAS Retail Services

Germantown, MD 20874

$18/hr

~ 41 min OnsiteChat NowHealth Insurance

You're 18 years or older
Can perform physical work of moving, bending, standing and can lift up to 10 lbs.
Have reliable transportation to and from work location
Can use your smartphone or tablet to record work after each shift
Are comfortable with smartphone technology and applications, with the ability to quickly adapt to new tools and software
Have the ability to perform job duties with a safety-first mentality in a retail environment

SmartExplore AI is experimental.

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Senior Associate, Data Engineer - Databricks

KPMG

Washington, DC 20002

OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
Preferably Databricks certified
Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
Hands-on technical experience with SQL and Apache Spark
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed

SmartExplore AI is experimental.

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Springfield, VA 22151

~ 20 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

Apply Directly