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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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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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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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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI.
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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 Yesterday - UpvoteDownvoteShare Job
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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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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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Comfortable with a high-growth, fast-paced, entrepreneurial environment o Dedication to staying current in rapidly-evolving data science, AI, and ML fields o At least 3 years of experience in a data science or predictive/prescriptive analytics role o Experience with Tableau, Power BI, or similar data visualization tools and techniques o Proficient in Python (or R) and SQL.
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, @Risk, Tableau.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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They will also collaborate with internal and external data science teams, stakeholders, and business leaders to deliver impactful analytics solutions. Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, deep learning, computational algorithms, and data science techniques to improve business outcomes and data-driven decision making.
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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 SQL, ETL, data modeling, and at least one programming language (e.g., Python, R, etc.) Data Science, Machine Learning, or Deep Learning experience is a plus.
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Strong knowledge and experience with ETL tools like Power Query, Azure Data Factory, FiveTran, Stitch, Alteryx and languages like SQL, Python or R. Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics, Data Visualization and Reporting, Data Science and Advanced Analytics, and Strategy Enablement.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Technical Skills: Proven experience with data analytics tools (e.g., Python, R, SQL) and AI/ML frameworks (e.g., TensorFlow, PyTorch). GSquared Group is currently partnered with one of our key enterprise clients, a leading player in the manufacturing space, to identify a skilled Technical Project Manager with a robust background in data science-based analytics and experience managing complex AI/ML projects.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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