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Experience with MS Office, Adobe Premiere Pro, Power BI and other data visualization tools a plus. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Knowledge of AI, ML, and Microservices deployment and release management will be a plus.
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This individual should be skilled in core data science tools and methods, icnluding SQL, a statistical software package (e.g., R, Python, or Stata), inferential statistics, and proficient in machine learning.
$86,700 - $206,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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Minimum education and experience required: Master's degree in Computer Science, Data Science, or related quantitative field of study plus 3 years of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies are a plus. PLEASE NOTE, THIS IS NOT A DEVOPS POSITION. It is a Data Engineering role within RDS/AWS.
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Employer will also accept a Bachelor’s degree in Electronics/Electrical Engineering, Technology, Computer Science or a related field plus 5 years of professional data analytics experience in the healthcare sector.
$163,238 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Skills Required: Requires experience in the following: Natural Language Processing (NLP) in a commercial environment; programming expertise in Python; Agile development paradigm; machine learning APIs and computational packages including Scikit-Learn, NumPy, SciPy, and Pandas; neural network packages such as PyTorch or TensorFlow; and development in Amazon Web Services (AWS) environments.
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Relevant certifications (e.g., PMP, PMI-ACP certification) a plus. The ideal candidate will have a strong background in the wholesale apparel industry, coupled with expertise in managing IT projects, particularly those involving Blue Cherry ERP and Microsoft Power BI. The role will involve overseeing various IT initiatives aimed at optimizing operations, enhancing efficiency, and driving business growth within the apparel sector.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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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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To qualify you must have a BA or BS in Science, Public Health, Nutrition, Child Development or related field; and/or Associate degree plus one year related experience; and/or equivalent combination of education and experience.
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The team is focused on showcasing MSCI's strengths and growth areas - data science, equity factor models, fixed income analytics, multi-asset class risk models, private asset classes, ESG & climate related risk, regulatory reporting - through multiple channels including internal applications and services, APIs, and 3rd party platforms.
$170,500 - $217,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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