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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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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. Job Family: Data Science. 5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Master’s degree within a highly technical/quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, etc.) Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader. The Department of Data Science at New Jersey Institute of Technology (NJIT) invites applications for tenure-track faculty positions starting in Fall 2023.
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We are looking for a talented and experienced Data Science Manager to join our team. Experienced technical lead for the data science team, with experience mentoring team members.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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Relevant Experience Requirements and Other Info: Skill requirements include project management/organization, research techniques, creating plans, cost estimation, risk management, logistics, data collection, analysis, technical writing, and presenting formal/technical information.
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B. Kafka, Spark, Snowflake, GCP, BigQuery, Java, Python, SQL, Airflow und gängiger Data-Science-Libraries und -Tools. Du hast bei deinem Wirken immer das große Ganze der Data Science-Strategie, IT-Strategie und -landschaft sowie der Datenarchitektur mit im Blick.
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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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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Examples of problems you will help solve alongside the Newell analytics and data science teams include determining optimal product assortments and next generation products, reimagining consumer engagement with personally relevant content, trade and promotion optimization, and several forecasting efforts as Newell continues to integrate its several businesses into a streamlined, highly efficient, unified corporation.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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As a Director, Data Scientist for HR, you will serve as a member of the HR Data Science team within Employee Insights responsible for performing, developing, and executing on research and building predictive models dealing with recruitment, career advancement, mobility, organizational structures, performance management, succession, compliance, listening surveys, equality programs, compensation, inclusion & diversity, learning, and talent development.
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Experience with the Python data science stack (numpy, scipy, pandas, sklearn, tensorflow, etc.) 3+ years experience in a data science role. Collaborate closely with DSV’s cross-functional development teams to refine data collection processes, improve data reliability and use existing LLM infrastructure for advanced reasoning over the above data.
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Scope project requirements for technical development, data analysis, and data management with Associate Director of Data Science; work closely with Project Manager to ensure requirements are clearly translated to SCRUM tasks.
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data science jobs Title: project manager Company: Nike Inc in Jersey City, NJ
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