Data Science Director establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Being a Data Science Director determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Additionally, Data Science Director typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function. (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.