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You have prior experience in Frontend development, Site Reliability Engineering, Data Engineering or Machine Learning. U.S. Data Security ("USDS") is a subsidary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Collaborate with the full MSI project team to ensure timely, high-quality deliverables, including but not limited to TPM reports, data quality assessments, and client presentations.
$62,000 - $69,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of experience with SQL (Structured Query Language), Microsoft Power BI, R Programming, Data Science and Machine Learning, Tableau, Python, and/or Data Visualization: PowerBI.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Implements and maintains departmental quality control program under the direction of the Assistant or Imaging Supervisor. By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Experience with data science techniques, classical machine learning, and deep learning for anomaly detection. You'll develop strategies to protect CDAO's technical offerings from insider threats, leveraging machine learning and deep learning techniques with tools like Jupyter, Spark, TensorFlow, or PyTorch.
$78,200Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Our platforms utilize state-of-the-art technologies to enhance mission-critical initiatives through advanced data analytics and machine learning. Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
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Lead the development of methodologies for systematic data collection and analysis of program indicators and coordinate collection, analysis, and quality assessment efforts. Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Css, db2, etl, hadoop, information technology, information technology infrastructure library, machine learning, shell, website. Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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As a Quality Assurance Engineer, you will create tests that identify issues with product software and infrastructure in advance of product launch. Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
$87,100 - $130,700 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data quality jobs Title: data engineer staff in Arlington, VA
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