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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer. Bachelor's degree in a quantitative or relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, or Data Science.
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Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Proven data governance, data science, or data engineering experience. Imagine yourself as senior leader and technology/innovation product owner within the Data Governance organization where your passion for data, technology, and collaboration with others with that same interest and passion will help to ensure the company is enabled to make smart business decisions using rich and deep data assets that span our entire enterprise.
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The ideal candidate will have a strong background in software development, natural language processing (NLP), and machine learning (ML), along with a passion for creating intuitive and user-friendly conversational interfaces.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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5+ experience in On-shore Wind, Ground Mounted solar and (Battery) Energy Storage Systems engineering projects and/or construction projects. Construction Risk and Insurance Specialist (CRIS), Professional Engineer (PE), Project Management Program (PMP) is required.
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Evaluates clinical and biomarker data sets from biostatistics and data science, contributes to data analysis, data reviews and interpretation, authors and ensures the quality of study reports and other relevant documents, presents results and insights to internal core teams accompanied by specific, decision making, recommendations.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.
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Job SummaryWe are seeking a dynamic and passionate STEM (Science, Technology, Engineering, and Mathematics) Instructor to join our team for a summer enrichment camp. Qualifications and SkillsCurrently enrolled in a STEM field (e.g., Computer Science, Engineering, Mathematics, etc.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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The Basepaws team focuses on the use of high throughput sequencing approaches, computational biology, systems biology, and machine learning to identify novel genetic variants and microbiome characteristics that may influence a pet's health.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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The Sr. Director, Quality Technical Operations, Cell Therapy Manufacturing is responsible for leading the day-to-day quality review and approval of investigations, CAPA, Change Controls with associated documents and the oversight of the Quality Engineering team responsible for qualifications and validations of computerized systems, software, enterprise systems, equipment, methods, and manufacturing processes.
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data science software engineer engineering deep learning jobs Title: engineer in Roseland, NJ
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