HR Data Supervisor supervises the deployment and administration of operational processes used to deliver HR programs and projects. Collaborates with stakeholders to provide consultation, process design, and project management of HR program implementations and initiatives like compensation, benefits, performance management, or training. Being an HR Data Supervisor delivers scalable methodologies and tools to optimize HR operations and streamline core processes like onboarding, hiring, terminations, retirements, timekeeping, and others that make up the employment life-cycle. Oversees employee data management processes to ensure that data is secure and maintained consistent with company policies and privacy regulations and that required reporting and filings are delivered. Additionally, HR Data Supervisor evaluates, selects, and manages HR process outsourcing vendors and contracts. Typically requires a bachelor's degree. Typically reports to a manager or head of a unit/department. The HR Data Supervisor supervises a small group of para-professional staff in an organization characterized by highly transactional or repetitive processes. Contributes to the development of processes and procedures. To be an HR Data Supervisor typically requires 3 years experience in the related area as an individual contributor. Thorough knowledge of functional area under supervision. (Copyright 2024 Salary.com)
Data Engineer III (Large Language Models)
About Catalytic Data Science (CDS):
Catalytic Data Science is a groundbreaking cloud R&D platform designed to integrate volumes of scientific resources, data, and analytic tools while providing the ability to network with colleagues in one secure and scalable environment. By enabling R&D teams to work more collaboratively and improving productivity company-wide, the Catalytic platform helps teams achieve key R&D milestones faster and with greater accuracy. Our customers are passionate about making the world a better place, and we are inspired by the opportunity to help them.
The Role
You are a Data Engineer with experience in processing terabytes of data and working with large language models (LLMs). You have experience in creating and automating scalable, fault-tolerant, and reproducible data pipelines for natural language processing (NLP) using Amazon AWS technologies. You will design and implement data ingestion, processing, and storage solutions that can handle massive amounts of text data from various sources. You are interested in helping to create a platform completely built on top of AWS. You are eager to join a team of Life Scientists and Software Engineers that believe the brightest minds in research should have the best tools to drive innovation.
What You’ll Do
Qualifications
Core Skills:
Nice-to-Haves
What Do We Love in Team Members?
Your specialization is less important than your ability to learn fast and adapt to shifting technologies. We’re especially fond of people who:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
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