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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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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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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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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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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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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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We are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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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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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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Oligo Data Science LeaderThe oligotherapy data science leader role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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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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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) 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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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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data science jobs Title: senior manager Company: Citi
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