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This role will be involved in working with Product Management, R&D, Business, Data Science and Data Architecture teams to design, build, and deploy a leading-edge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse.
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SAS, R, or Python a plus Insurance experience or insurance industry knowledge is highly beneficial SQL Server experience is a plus Microsoft platform (Azure / Fabric) is desired Bachelor's degree in a quantitative discipline such as statistics, computer science, or equivalent proven experience in a quantitative field.
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Ability to read, understand and script/code for data analysis, optimization, or regression (e.g. Python, R, MATLAB, STATA, Perl, PL/SQL, T-SQL, C#, Javascript, or GAMS) Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Experience with data analytics tools/languages such as SQL, Python, R, Adobe Analytics, Tableau, etc. BA or MA in Statistics, Analytics, Mathematics, Economics, Computer Science, or a related field Familiarity with agile development principles and project management tools such as JIRA and Confluence PREFERREDPrevious work with CDPs, marketing automation, and omni-channel campaign management platforms.
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Proficiency in programming languages such as Python, R, or Java. The Director of Data Science and Insights will be responsible for the overarching vision, strategy, and implementation of Novelis' advanced analytics and AI capabilities, focusing on enhancing operations in sales, marketing, and other key business areas globally.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Proficiency in Python, R, or Java and relevant frameworks and libraries. Join us as a Data Science Senior Manager, Generative AI to play your part in that transformation. Excellent project management skills with a proven track record delivering at speed and scale impactful data science solutions on time and within budget.
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Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Analyzing large data dets using programming languages such as Python, R, SQL and/or Spark. Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
$196,700 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Expertise in at least one of the following domains: affective neuroscience, cognitive science, deep learning, and advanced analysis of fMRI data (e.g., encoding and decoding models) Strong functional neuroimaging background and computer programming skills (e.g., MATLAB, R, and Python) are required.
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Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn) Stay current with industry trends and advancements in data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn.
$321,550 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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On the predictive pod of the Operations Decision Science (ODS) department, we build and deploy data science and predictive modeling tools to support this complex operation. Understanding of Machine Learning techniques (Python, SciKit Learn, R, SAS or other machine learning platforms.
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The Data Scientist will be responsible for tasks such as data analysis, data visualization, statistics, and applying data science techniques to drive insights and decision-making within the organization.
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