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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Full consideration will be given to applicants who have worked as a Statistician or Data Scientist or have experience in Statistics or Data Science research or teaching. The College of Science at UTA offers more than 50 bachelor's, master's, and doctoral degree programs in Biology , Chemistry and Biochemistry , Earth and Environmental Sciences , Mathematics , Physics , Psychology , Data Science , Applied Statistics and Data Science, as well as preparing future leaders in Health Professions.
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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 7 days ago - UpvoteDownvoteShare Job
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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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Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X. Responsibilities: Teach some combination of classes from the following: introductory-level courses in international relations, international political economy, international development, research methods, statistics, or data science.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Your one-page cover letter should briefly describe your background and interest in IPL and the GeoMatch research program, your experience doing data science work in collaborative environments, and your motivation for joining a team using data science for social impact.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Transform data into useful information tailored to leadership needs through storyboarding and data visualization. Directly manage and oversee technical work in close partnership with the CTO and Engineering resources to steer data and analytics projects.
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Minimum RequirementsBachelor's degree in business administration, computer science, mathematics/statistics, engineering, management information science, data processing or related field and experience with Tableau, Cognos/Argos, SQL, and/or SAS is required.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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data science jobs Title: lead data scientist Company: Capital One
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