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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. Master’s degree in industrial/organizational psychology, Data Analytics, or Statistics.
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The People Analytics Business Partner plays a pivotal role in driving strategic decision-making through the analysis and interpretation of people data. 6+ years of experience in a People Analytics/Data Science role.
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1-2 years of experience in paid search campaign development/management/optimization with the use of leading platforms, including Google, Bing, Oath, Etc. 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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Experience with search-engine optimization (SEO) strategy and application to content development. Use audience, channel, and performance data to inform conception and creation of digital content calendars, channel strategies, and a suite of on-brand marketing content aligned to channel strategy and buyer stage, including web copy & landing pages, web articles, blogs, e-mails, advertising, case studies, social/sharables, tip sheets, infographics, multimedia scripts, as well as reports and other longer form lead gen magnets.
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Job Title: Data Scientist/Machine Learning Engineer (Associate) Big Data processing (Spark, PySpark, Scala, Dask.
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. More than 10,000 organizations worldwide - including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases. Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elastic, Vector Search, and GenAI technologies.
$113,100 - $215,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Search engine optimization or search engine marketing. Data visualization including Tableau or Google Data Studio or PowerBI. From traditional media analysis, digital analytics/SEO, quantitative and qualitative primary methodologies (e.g., surveys, focus groups), to audience insights, we are meeting the needs of clients with data-driven insights.
$60,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Core responsibilities include overseeing and managing the implementation, maintenance, and optimization of Reliance, Zendesk, Smartsheet, and other QMS business solution platforms within the organization.
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Assist in vendor integration, data management work flow evaluation and optimization, vendor service level adherence monitoring activities, and requirements gathering around internal data management processes as effort moves forward.
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Description: The Vice President, Product Development will be at the helm of our Consumer Products Division's Culligan branded NA Retail business, leading the charge in product development, process optimization, and regulatory compliance, with a particular focus on consumer-focused water treatment and filtration systems.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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search data optimization jobs in Northfield, IL
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