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We are seeking a Mid-Level Data Engineer who is a quantitative, analytical thinker with a strong passion for data and a solid foundation in data engineering principles. Bachelor’s degree in a quantitative/technical field (Computer Science, Statistics, Engineering, Mathematics, Physics, Chemistry.
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Bachelor's degree preferably in Data Engineering, Data Science, Computer Science, Information Systems, or a related quantitative field and minimum of 5 years of data engineering experience.
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Stay updated on the latest developments and trends in data science, machine learning, and GCP, and share knowledge and insights with the team. Passionate about data science, health care, and GCP.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Must possess critical thinking and creative problem solving skills along with the ability to communicate well with stakeholders throughout the organizationEducation QualificationsBachelor's Degree RequiredMaster's Degree Computer Science, Informatics, Information Systems or another quantitative field PreferredExperience QualificationsAt least six (6) years Managing data and analytics infrastructure such as Hadoop/Spark clusters, SQL/No SQL data stores and/or application hosting platforms.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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POSITION TITLE: Data Science Architect. 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.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Design survey and research questions that prioritize equity and accessibility concernsCreate and facilitate training for other staff on coding and qualitative research methodsReporting, Negotiating, and Communicating Between Key StakeholdersSynthesize quantitative and qualitative data in reports and memosProvide support for departments and staff using data and outreach platformsProcure and manage incentives that compensate research participants for their time.
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5 years of work experience in data/analytics consulting or quantitative marketing/analysis (healthcare, pharmaceuticals and life sciences experience preferred). Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Certificates/Licenses Commonwealth of Pennsylvania Instructional certificate in Library Science K-12, Elementary Library Science or a letter from a certification officer stating that the student has completed all required coursework and student teaching, has successfully completed ALL PRAXIS and is being recommended for certification.
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Graduates of the five-year accelerated Master’s Coordinated Program will earn a Bachelor of Science in Nutrition plus a Master of Science in Nutrition and Dietetics Practice, and will be qualified to sit for the Registered Examination for Dietitians to obtain the Registered Dietitian Nutritionist credential immediately upon completing the degree and supervised practice requirements.
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157K SF Children's Museum / Science Museum / Music, Film and Improv Festivals. 157K SF Children's Museum / Science Museum / Music, Film and Improv Festivals. Independence Hall / Liberty Bell / Rocky / Chinatown / Old Town / Center City.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Manage the Student Information Systems Analyst to maintain key student data and various educational technology systems that integrate with our student information system (including Mosaic, Clever, Illuminate, DeansList, etc.
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applied quantitative data science jobs in Merchantville, NJ
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