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Extensive experience in planning, executing, and optimizing paid search (Google and Bing), paid social (Meta, TikTok, etc.) Develop and execute comprehensive paid search, paid social, and programmatic display ad campaigns aligned with organizational goals and marketing objectives.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.
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You will focus on both Programmatic and Paid Social channels as part of an innovative, fast-growing team focused on changing digital media planning and buying, in the context of a multi-channel data-driven approach in the eRetail space.
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Familiarity with information technology, business processes and financial reporting audits and familiarity with control frameworks such as NIST, MITRE ATT&CK, COBIT, ITIL, PCI, ISO, SOX, and global data privacy laws (e.g., GDPR, CCPA.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products. Preferred Qualifications: Knowledge in enterprise data management architecture and principles, master data management, data governance and data qualityKnowledge in data modernization, Cloud, data migration and digital transformationMBA or master’s degree experience from a top-ranked institution.
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The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. 5+ years of machine learning, data science, software development, and/or similar experience, with significant contributions that you can talk to.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Previous data entry experience working in QuickBooks and other Intuit platforms, Salesforce, and Wrike is strongly preferred. This detail-oriented role requires excellent data entry, technology, and communication skills.
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Develop strategic measurement frameworks and playbooks to form the basis of ongoing performance assessment and optimization across earned, owned, and paid channels. Experience working on analytics for communications programs with earned, owned, and paid media components, including social media, site analytics, and search.
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Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
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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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Performing biological incubations of drug molecules, purification of biological samples, optimization of LCMS methods, and analysis of LCMS data. Documentation of experimental activities and results using electronic data acquisition and management systems.
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Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Data Analysis, Microsoft Excel VBA Programming, Refinery Operations, Supply Chain Optimization. Coordinate, facilitate, and communicate the analytical basis for crude and feedstock selection, processing rates, and product slate optimization to maximize delivery of gross margin in the 1-4 month plan.
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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL processing frameworks, proprietary data science platforms, and core database optimization.
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search data paid optimization jobs in Chicago, IL
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