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Director, Data Science Country: United States of America The role is responsible to lead the D igital D ata and A nalytics team that supports digital banking, executive strateg y, digital marketing, site monitoring , customer in sights and segmentation , tag management, and testing.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and AI-powered coaching. Imagine being able to design a "Second Brain" for subjects like Science or History—a comprehensive, AI-powered repository of domain-specific knowledge that can be harnessed to produce engaging, personalized content at scale.
$50 an hourFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will primarily have a full-stack web application focus but will open up into developing core data science infrastructure. Position SummaryThe Data and Software Engineering team in Cambridge, MA is looking for a Full Stack Software Engineer with a passion for solving big problems, a desire to make a real difference immediately, and a drive to continuously learn new technologies in software, data, and biotechnology.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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For data Science/Data Analyst/AI/Machine learning Positions. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Quantitative Development & Data Science Internship. Quantitative Development and Data Science Technology within Fidelity’s Asset Management division give students the opportunity to do just that.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We're looking to add a talented front-end engineer (interested in full-stack development) to its AI and Data Science team. Back-end (data science): Python, Airflow, AWS.
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Experience with cloud based technology stack for data and analytics platforms covering data visualization, data engineering, and data storage/access. 10+ years of experience in data, analytics and data science, business intelligence, data governance, or related roles.
$192,280 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a member of the platform software team, you will work with colleagues across automation, bioinformatics, and laboratory science to create robust systems that streamline laboratory workflows, data management, and reporting.
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Current enrollment in a Northeastern University Bachelor’s degree program in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science, or a related major with an expected completion date between December 2025 and June 2026.
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A BS or MS/MBA in an IT related program Business/Management Information Systems, Computer/Systems/Industrial Engineering, Computer Science, Business Analytics, Data Science, Operations Research or Statistics) or proven experience in the digital marketing industry with core experiences in the Marketing Technology stack or Marketing data & analytics.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Work closely with our data science and data engineering teams to build robust data pipelines and workflows. Exposure working with Data Science teams and productionizing machine learning models is nice to have.
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stack data science jobs in Woburn, MA
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