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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Experience with at least 1 non-SQL database, master data management and taxonomic classification of data. Proficiency in cloud-based SQL Environments (BigQuery, Snowflake or RedShift), SQL, and at least one object-oriented language.
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Education : Master's degree in data science or a related quantitative field, or relevant certifications in data science (e.g., AWS Certified Machine Learning, Databricks Certified Data Scientist Professional.
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SQL, Spark, Snowflake, Databricks, Big Data, AWS, and Scala or Python experience are highly preferred. 3+ years of experience with data applications (Spark, Presto, Hive, etc) Designs and builds data processing pipeline using cutting edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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Experience with ERP software (JDE, Oracle, or OneStream) and/or DB tools (Access / SQL) and Microsoft Office suite (Excel, PowerPoint, Word). Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.
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Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Snowflake, Hex, Excel), including designing, debugging, and organizing data for a wide audience. Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Operations, Customer Experience, Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls.
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Knowledge and experience of working with relational/non-relational databases e.g., SQL, Teradata, Snowflake, Databricks, Azure Data solutions or Hadoop. 3+ Experience working with Alteryx or similar data wrangling tool for data modeling, data mining, forecasting, simulation.
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EmpowerU, a Catapult Learning service, provides evidence-based programs that improve student motivation, resilience, and mental health. EmpowerU, a Catapult Learning service, provides evidence-based programs that improve motivation, resilience, and mental health.
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Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP. Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
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Experience supporting in execution of data strategy and reviewing analytic scripts (Python, Databricks, SQL, ACL) Interest in AI and machine learning concepts. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox's Job Applicant Privacy notice.
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Build reports using the Hyland Report Services module and/or writing custom SQL scripts against the OnBase database for support and administration purposes. Additionally, the OnBase Business Systems Analyst will work as part of the Core Services team proving administration, integration, deployment, and support services for the Libraries portfolio of locally developed and commercial applications hosted in Penn's on-campus data center and in the cloud.
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Experience with designing and automating privacy & data protection program processes, including but not necessarily limited to: privacy by design, data mapping, data subject requests, cookie consent, universal consent & preferences, third-party risk, etc.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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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.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. Proficiency in both statistical modeling and machine learning algorithms, model tuning, and validation of developed algorithms.
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