Data Scientist 2 - Data Science and Machine IntelligenceUSA Jobs • United States
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Data Scientist 2 - Data Science and Machine Intelligence
USA Jobs
- United States
- United States
À propos
The Data Sciences & Machine Intelligence group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a data scientist to join the group to lead and support scientific research in the broad areas of data science, artificial intelligence (AI) and machine learning (ML) with a focus on advancing natural language processing (NLP) and data science for scientific domains. This is an excellent opportunity to develop your scientific career in an outstanding research institution by joining an interdisciplinary research team that focuses on accelerating scientific discovery. The emphasis of this position will be growing existing and crafting new capabilities in the areas of AI, scientific machine learning and NLP to strengthen the group's leadership position in data science and machine intelligence. A successful candidate will have demonstrable expertise in the broad areas of data science and NLP such as: (i) building and evaluating language and multimodal agentic systems (ii) cloud deployment of agentic systems. We are looking for a proactive, highly motivated individual with an aptitude for contributing on multi-disciplinary teams, and an interest in natural sciences. A Data Scientist 2 designs, develops, and implements methods, processes, and systems to analyze diverse data. Applies knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. Produces solutions driven by exploratory data analysis from complex and high-dimensional datasets. Designs, develops, and evaluates predictive models and advanced algorithms that lead to optimal value extraction from the data. Demonstrates ability to transfer skills across application domains. Minimum Qualifications: BS/BA and 2 years of relevant experience -OR- MS/MA -OR- PhD Preferred Qualifications: PhD in Data Science, Computer Science, Electrical and Computer Engineering, or a closely related field. Demonstrable experience in conducting scientific exploration and research through artifacts such as scientific publications in top tier venues (*ACL, EMNLP, AAAI, NeurIPS, ICLR, LREC, etc.) and publicly released datasets and/or software tools. Architect and build multistep LLM agent systems for scientific domains. Develop reliable tool use and function calling interfaces that enable agents to interact safely and predictably with internal APIs, databases, external services, and code execution environments. Design and execute evaluation benchmarks that measure task completion rates, faithfulness, hallucination frequency, and latency under realistic production workloads. Create customized agent harnesses, including enhancements to agent memory and inter agent communication. Solid knowledge of core skills in data science and machine learning, including data/information curation from large unstructured data in the form of PDFs (text, image). Proficiency in computer science engineering skills. Experience in a production grade deployment team is a big plus, especially with applications in a cloud environment (AWS, Azure, VertexAI).
Compétences linguistiques
- English
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