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Plant monitoring and care during vegetative and generative growth stages: transplanting, de-foliation, pruning, staking, and plant structure training; watering and feeding; monitoring climate control systems and pest/disease pressure; inventory data input within the state-mandated electronic tracking system.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Harvesting: cutting down plants; breaking down harvested plants; de-foliating harvested plants; weighing and inventory data input into the state-mandated electronic tracking system; cleaning and sanitizing grow rooms; hanging/organizing harvested plants within the designated dry rooms; monitoring the drying/curing process and climate control systems.
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As a Director, Data Scientist for HR, you will serve as a member of the HR Data Science team within Employee Insights responsible for performing, developing, and executing on research and building predictive models dealing with recruitment, career advancement, mobility, organizational structures, performance management, succession, compliance, listening surveys, equality programs, compensation, inclusion & diversity, learning, and talent development.
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Support the daily people operations in collaboration with ESS's HR Generalist, including managing employee data, onboarding new hires, supporting employee questions related to benefits, conducting exit interviews, etc.
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The Systems Engineering Manager is responsible for the systems engineering team which creates system products such as systems engineering management plan, requirement management including traceability, system analysis and simulation models, and documents.
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From the creation of HR strategy using our leading Oracle-enabled HR Transformation labs, the application of design thinking that allows HR to challenge how work gets done today, to navigating the ever-evolving HR technology landscape to determine the right digital solutions to enable transformation, our HR Transformation practice is focused on helping HR take the lead.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Ensure data quality, integrity, and security across all data systems. In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery). The Data Engineering Manager will oversee the design, development, and maintenance of our data lake, as well as manage our BIE team.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.
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Healthcare systems around the U.S., including municipal health systems, multi-unit senior care companies, governments, school systems, VMS and MSP vendors trust us to deliver more than 100,000 nurses and other healthcare professionals on-demand.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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DMP tech setup, infrastructure, cross-device targeting/reporting, CDP.Management of Data Onboarders. Understanding concepts of programmatic media, ad serving, ad serving platforms, ad trafficking process, attribution models based on impression, click, IDFA, ADID, etc., basic data security policies/strategies, privacy regulations (such as CCPA, CPRA, GDPR, and etc.
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payroll hr systems data jobs Company: Insidehighered in Roseland, NJ
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