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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Demonstrated experience with predictive analytics, Tableau, SQL, PowerBI and data visualization tools. Develop the enterprise’s capacity to develop insights with advanced analytics such as data science, natural language processing, AI/ML, network science etc.
Starting at $164,900 - $206,150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyzing large datasets, building data pipelines, building ontology, creating insightful visualization. ENOVIA has an immediate opening in Boston (Waltham, MA) for a highly skilled developer with a strong background in Data Science and web applications development.
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Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to process large biomedical datasets, develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client’s facility.
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Experience with SQL, Microsoft Excel (formulas, pivot tables) , or data analysis/visualization tools OR experience in a client service/support or technical advisory role (e.g. Solution Consultant/Architect, Technical Account or Implementation Manager, or equivalent.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. Oversee the implementation of data visualization tools and platforms to empower stakeholders with intuitive access to data insights.
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Experience with data visualization tools (Power BI), Microsoft Excel (including pivot tables) and SFDC preferred. The Senior Business Analyst will work closely with, and report to the Global Services Excellence leader for CAD. The Analyst is an experienced, analytical, customer-centric professional with project management expertise and a strong understanding, or willingness to learn CRM systems and data visualization platforms (i.e. SFDC and Power BI.
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Knowledge of data visualization tools like Power BI and Tableau. Experience with Business Intelligence and visualization tools. Bachelor's Degree in Computer Science or a STEM, or equivalent experience required.
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Expert SQL skills and proficiency in data visualization tools such as Tableau, Looker, or Sisense. Bachelor's or Master's Degree in Analytics, Statistics, Computer Science, Economics, or a related field required.
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Apply a variety of data science techniques to tackle customer challenges to include machine learning, generative AI, natural language processing, computer vision, reinforcement learning, statistical modeling, mathematical optimization, and data visualization.
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Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction. Lead technology execution of data engineering required to transform, harmonize data required for AI/analytics and build-out of re-useable aggregated data sets and APIs. Leverage knowledge of data architecture to enhance data pipeline effectiveness.
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Experience with Qlik, Tableau, or other data visualization software. Collaborate with team members and clients to support the development of web applications and data visualization tools.
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More specifically, advanced skills in Python libraries for data science (Pandas, NumPy, sci-kit learn, TensorFlow/PyTorch) or experience using object-oriented programming systems in R (e.g., S3, S4, RC, R6.
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data science visualization jobs in Burlington, MA
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