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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Boxborough ONSITE/HYBRID : These roles require the student to work full time (40 hours a week), either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
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Ascend Performance Materials Holdings, Inc. in Houston, Texas seeks Data Science Manager (IT Business Manager). Data Science Manager (IT Business Manager) page is loaded. Data Science Manager (IT Business Manager.
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A bachelor s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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WHAT YOU'LL DO:Here's what you can expect on a typical day: Setup, Build and Grow the Team. You will work in close collaboration with the USA Data Science and Machine Learning team to setup the goals and roadmap to assemble a world-class team in close alignment with the company’s OKRs. Own and Manage Projects.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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As a Data Science intern on our team, you’ll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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The Commercial Analytics and Data Science Manager will also support upleveling of existing data science and analytics capabilities to the next level. The Commercial Analytics and Data Science Manager will support strategic commercial teams with data driven analysis and recommendations for segmentation, targeting, planning, etc.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Required QualificationsBachelor’s Degree in Information Science, Computer Science/Engineering, Information Technology, or related field a minimum of 3 years of relevant experience focused in data governance, data quality management or library science or an equivalent combination of relevant education and experience.
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As an Analyst on the Marketing Science team, you will advance your career in analytics. Data Visualization: Begin development of Dashboards in visualization tools such as Tableau/QlikView/Looker.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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data science jobs Title: data analyst Company: Insight Global
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