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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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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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Facilitates collaboration between staff engaged in similar work and with similar interests across the Division Basic Qualifications: Strong internal technical stature and demonstrated technical depth in modeling and analysis, with BS in a quantitative field such as Data Science, Operations Research, Computer Science, Mathematics, Statistics, or other related technical discipline.
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As a Vice President – Corporate Functions Data Science Lead, you will partner with leaders in Human Resources, Risk, Compliance, and Legal to develop cutting-edge AI solutions that drive employee recruitment and engagement, predict and mitigate risk, and transform legal and compliance processes.
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A Lead Data Science Analyst is responsible for the entire lifecycle of analytics initiatives, from research and design to implementation and validation, employing machine learning and predictive algorithms to analyze program performance and enhance operational processes.
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Technical Proficiency :Demonstrated expertise in Python, SQL, Git, and common Data Science and Machine Learning libraries. Educational Background : Bachelor's degree in computer science, mathematics, data science, engineering or a closely related field.
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OverviewJob TitleLead Data ScientistReporting to the Director of Applied AI and working with the TST Applied Data Science team, the Lead Data Scientist will drive enterprise-level impact from data science solutions by defining technical approaches to business problems, rapidly prototyping and developing models, and working with ML Engineers to bring models up to full production scale.
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About this role:Wells Fargo is seeking a Senior Lead Data Science Consultant. Required Qualifications, US:7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
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Responsibilities include providing operational support for multiple data centers in the School of Computer Science. We are currently seeking a Data Center Tech Lead to join our Operations team.
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Provide consultation on data science best practices, methods, and tools to leverage. Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
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Peraton is hiring a Data Scientist to join our Cyber Mission business unit in Fort Meade, Maryland. Hands on data wrangling: Extract Transform Load (or ETL), Databases, DBA, shell scripting.
$112,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Framing, defining, and bounding Enterprise level data needs and concerns into broad actionable initiatives with clearly identifiable downstream tasking. As a Data Scientist on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community.
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6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Data Science or related. 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Data Science or related.
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Data Science / AI (DS/AI) Development & Portfolio Team Strategy and Process: Lead workstreams to shape the strategic direction of the team, drive the successful implementation of initiatives across the DS/AI Development and Portfolio team, and spearhead initiatives that integrate across BIA.
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Align Data & Statistical Science (DSS) study teams with program & study-level strategies. Utilize reporting & data visualization tools such as Spotfire, J-Review, Business Objects &/or SAS to generate data review listings, also, project management tools such as Microsoft Project, Smartsheet or equivalent.
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data science jobs Title: data science lead
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