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Experience with IBM Data Science solutions, Watson Studio and/or SPSS. IBM’s Data and AI organization is currently seeking a Brand Technical Specialist with experience in Data Governance and/or Data Science solutions.
$107,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Experience in data engineering or data science on GCP. Bachelor’s or master’s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
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The Sr. Director, Head of Owned Channels and Enterprise Decision Science will lead our team of data engineering and decision scientists. Lead and manage the TIAA marketing data engineering and decision science team, providing guidance, mentorship, and support to achieve department goals and objectives.
$112,700 - $155,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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Construction Expertise: Oversee the entire spectrum of construction activities, from initial estimates to contractor bidding processes for industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects, etc.
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Working with the GE HealthCare Digital leadership team as an active business partner to identify strategic opportunities to drive growth, including through digital transformation, analytics, artificial intelligence (AI), data science, cloud-deployment, software-as-a-service (SaaS) and data strategy.
$196,000 - $364,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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10+ years of progressive working experience in Data Engineering and Data Science roles within the Media & Entertainment industry. As a Data Science and Generative AI (GenAI) Specialist, it will be your responsibility to engage early with M&E executives and develop strategies as they look to harness complex data sets to drive value across their media business from content production to distribution.
$146,200 - $284,300 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Data science programming language experience (e.g., Python, R) - Experience developing reporting and advancing data visualization capabilities with new or existing tools (e.g. Tableau, Looker, PowerBI, DataStudio, Qlik, TIBCO/Spotfire, etc.
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5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics. MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience.
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This candidate will assist the Data Science team on day-to-day activities in support of Data Engineering such as building python and bigquery based ETL applications, build bigquery SQLs to enhance business users experience with GCP datasets.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. Working technical knowledge and experience with data science and machine learning (e.
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Actively enrolled in a Graduate program in Computer Science, Statistics, Data Engineer/ Data Science / Data Analytics, Informatics, Information Systems or another quantitative field.
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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. The ideal candidate will possess a strong background in data science, human resources, and strategic business partnering.
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Quantitative fields such as: Data science, data engineering, information technology. Employ sophisticated data engineering techniques, leveraging innovative tools like SQL Coding, Palantir Foundry, Spreadsheets as Excel, and dashboards such as Power BI and Tableau.
Full-timeExpandApply NowActive JobUpdated 18 days ago
data science jobs Title: manager Company: Microsoft in Chicago, IL
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