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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge or experience in Informatica's suite of tools of data governance tools (Axon, IDQ and EDC), or comparable platform. + Consult on data governance tool implementation supporting metadata management, business glossary, and data quality functions.
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Located in more than 30 offices and 10 creative studios around the world, its 6,000+ strong team combines strategy, technology, data science, and creative design with deep industry expertise and insights, to develop new digital solutions and business models of the future.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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On experience in Data modeling, data migration and thorough knowledge on RDBMS. Computer Science, Computer Engineering, MIS or related field. 10years of IT experience with 6-8 years as Data Architect.
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Capgemini Invent is Capgemini's digital innovation, consulting, and transformation global business line, combining expertise in strategy, technology, data science and creative design, underpinned by deep vertical expertise across a diverse range of sectors.
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Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field. + Select and develop appropriate test automation tools, applying the latest techniques in test automation;e.g., data-driven testing.
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Identify and resolve performance issues with database code- Develop database applications using industry-standard securitymeasures- Commitment toward continuous improvement of database developmentpractices- Lead production support with operational issues includingoccasional on-call duties- Write, maintain, and review functional and technicalspecifications- Create scripts for data integration, datamaintenance, and automation.
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Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.
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With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As needed, collaborate with internal and external stakeholders to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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As part of the Capgemini Invent team, the Managing Data Scientist/Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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4+ years of experience in developing data engineering solutions in an Azure Stack such as Data Factory, Databricks, Delta Lake, Spark, Spark SQL, Azure Storage account, ADLS gen 2, Azure Event Hub, Azure Functions, Azure Vault, Synapse, Synapse pipeline.
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Des expertises reconnues dans la stratégie, les technologies, la « data science » et le « creative design ». Bienvenue chez Capgemini Invent, l'entité de transformation, d’innovation digitale et de conseil du groupe Capgemini.
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data science jobs Company: Capgemini
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