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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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Familiarity with Machine Learning/Data Science concepts and experience working with libraries like PyTorch, TensorFlow. As a Full-Stack Software Developer on the AEC Solutions group, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry.
$190,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java , javascript , C.
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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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Your skills include expert knowledge with AI solutions and architecture (AWS stack, MS stack, etc) as well as experience in several Data Science and AI capabilities as well as strong project and program management.
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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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Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Experience working with a real world evidence solution and/or a longitudinal data platform (in healthcare.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
$150,000 a yearRemoteExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Expertise in Artificial Intelligence, Generative AI, Machine Learning, and Data Science tech stack. Knowledge in the financial services (Investments & fixed income insurance domains), along with expertise in AWS data science tech stack is essential.
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At least 12 years relevant experience (computer science, computational methods, computational biology, bioinformatics, genomics, analysis of genomic data) Leads a team of computer science researchers, software engineers, data scientists, and computational biologists to develop novel computational methods in the genomics/multi-omics space meeting the goals described above.
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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 leverage best-of-breed internal and external technologies, coupled with data science and analytics - of which the result is a disruptive business model that creates an exceptional omni-channel customer experience and a revolutionary data driven supply chain operation.
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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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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Competency in multiple programming languages, libraries, and tools in each of the following categories: front-end stack (e.g., JavaScript, React, Angular, Mapbox, and AWS), back-end stack (e.g., Python, R, Julia, MATLAB), and geospatial back-end (GeoPandas, raster image databases, vector feature databases, coordinate reference system conversions, spatial indexing.
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stack data science jobs in Cambridge, MA
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