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Assist Residence Life Area Directors in the housing process by contributing to process communications, data input and gathering student housing form information. Query, update, and generate data in CAMS, Maxient, Slate, and other administrative platforms for Student Life related to retention goals.
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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.
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We are looking for a Vice President, Analytics & Insights to derive and deliver data-driven, actionable insights to answer client business challenges while also demonstrating the business impact of our work.
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The Region Director (RD) is a remote leadership position that is primarily responsible for leading a high performing field-based Medical Science Liaison (MSL) team trained in the area of Psychiatry and providing input to medical planning that support the safe and effective use of our medicines by patients, physicians, and payers.
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Experience understanding, using, and employing syndicated data, customer card/POS data, and panel data to guide internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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With strong project portfolioMinimum 5 years of industry experience (2 years with PhD and 3 years with MS) in quantitative modeling of credit riskStrong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithmsExperience with modeling financial products and/or securitization, preferably mortgage-backed securities.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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These companies are in a variety of industries: Financial/Trading, E-Commerce, Data Analytic, Ad-tech, Education Tech, SaaS, Hedge Funds, and more. Our Data Intelligence team is seeking a Software/Data Engineer to help build out our platform that empowers our product and data engineering teams to deliver timely and accurate data.
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Develop and optimize algorithms used to gain insight into cancer variation through analysis of next generation sequencing data. Experience working with next-generation sequencing data. Collaborate with scientists and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
Part-timeWork from homeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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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.
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As a Data Integration Engineer you will be a member of our highly technical production support team, who develops, pro-actively monitors, performs wellness checks and observes the status of File Transfer in the Production and Development environments.
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data input jobs Company: A B Farms in Palos Heights, IL
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