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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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The Senior Director of Data Infrastructure and Data Science is a key leader in our People Insights, Analytics, and Workforce Planning team. 10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics.
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Access, query, aggregate, manipulate, consolidate, and summarize omni-channel customer and visitor data from multiple large-scale data sources using data science tools (SQL,R, Python, SAS, Microsoft Power BI, Azure, Adobe, Databricks.
$141,800 - $146,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Consulting Research Analyst would have a BA/BS degree in social science, public health, economics, statistics, actuarial science or equivalent related field and a minimum of 5 years of related work experience or equivalent combination of education and experience.
$57,000 - $94,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Department of Natural, Health, and Mathematical Sciences at MidAmerica Nazarene University (MNU), a faith-based university in Olathe, Kansas, invites qualified candidates to apply for the position of Data Science adjunct instructor.
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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.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
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data science jobs Title: data analyst senior Company: Dice
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