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Scientist United States, Santa Clara Jobs

7 Job Offers

Data Scientist
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CLARA analytics
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Principal Applied Scientist
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Join the Agentic Automated Reasoning Group as a Principal Applied Scientist in Boston, Austin, Santa Clara, or Portland. Leverage expertise in interactive theorem proving, deductive verification, and generative AI to build next-gen software verification tools. Requires a PhD, 10+ years in formal ...
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United States, Boston, Austin, Santa Clara, Portland
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Amazon Pforzheim GmbH
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Applied Scientist
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Join AWS Agentic AI as an Applied Scientist in Santa Clara, CA. You'll build next-gen models for intelligent automation, solving real-world problems with vast data and computational resources. Requires a PhD/MSc, 3+ years in ML, and publications at top conferences. Enjoy health insurance, 401(k) ...
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171600.00 - 222200.00 USD / Year
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Amazon
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Data Scientist
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Join Amazon Quick Suite as a **Data Scientist II** in Seattle, Santa Clara, or New York. Leverage **Python**, **SQL**, and **machine learning** to design evaluation datasets and benchmarks for generative AI features. You'll work with **LLMs**, lead human annotation initiatives, and drive data qua...
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United States, Seattle, Santa Clara, New York
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136000.00 - 212800.00 USD / Year
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Amazon Pforzheim GmbH
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Sr Data Scientist
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Senior Data Scientist role at Blue River Technology in Santa Clara, CA. Drive innovation in intelligent machinery for agriculture and construction by curating and managing image datasets. Requires 5+ years deploying computer vision and ML pipelines using semantic segmentation and object detection...
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209862.00 - 275000.00 USD / Year
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Blue River Technology
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Applied Scientist II
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Amazon AWS seeks an Applied Scientist II to advance generative AI and foundational models in Santa Clara, CA. You will develop novel algorithms for speech, vision, and language, working with top experts on Agentic AI solutions. Requires a PhD or Master’s with 4+ years in ML/CS, plus publications ...
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171600.00 - 222200.00 USD / Year
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Amazon Pforzheim GmbH
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Data Scientist II
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Join Ericsson’s AI Innovation & Incubation team in Santa Clara as a Data Scientist II. You will design and train deep neural networks and LLMs for telecom use cases, translating research from top conferences into real-world solutions. Requires an MS in CS, 1-4 years of ML experience, Python, and ...
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122500.00 - 161175.00 USD / Year
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Ericsson
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About the Scientist role

A career as a scientist offers a dynamic and intellectually stimulating path defined by inquiry, analysis, and innovation. Scientist jobs span a vast array of industries, from healthcare and biotechnology to technology, environmental science, and data-driven business. At its core, the profession involves designing and conducting experiments, studies, or analyses to answer specific questions, test hypotheses, or solve complex problems. Whether working in a laboratory, a field setting, or behind a computer, scientists are responsible for applying rigorous methodologies to generate reliable data and actionable insights.

Common responsibilities for scientist roles include formulating research questions, developing experimental protocols, and collecting and processing samples or datasets. A significant portion of the work involves data analysis, where scientists use statistical software, programming languages like Python or R, and specialized tools to interpret results. Documentation is critical; scientists must maintain detailed records, write technical reports, and prepare findings for publication or presentation to stakeholders. In many settings, collaboration is key—scientists often work in interdisciplinary teams, sharing expertise with engineers, product managers, or medical professionals to translate research into practical applications. Quality control, safety compliance, and staying current with the latest scientific literature are also essential daily duties.

The typical skills and requirements for scientist positions are rigorous. Most roles require at least a bachelor’s degree in a relevant scientific field, with many demanding a master’s or doctorate for senior or specialized positions. Core competencies include strong analytical and critical thinking abilities, meticulous attention to detail, and proficiency in quantitative methods. Technical skills vary by specialization—a data scientist might need expertise in machine learning and big data frameworks, while a clinical lab scientist must master diagnostic techniques and regulatory standards. Communication skills are equally vital, as scientists must clearly convey complex ideas to non-experts, write grant proposals, or present findings at conferences. Adaptability and a commitment to ethical research practices are foundational to the profession.

Ultimately, scientist jobs offer the opportunity to drive discovery and innovation. From developing new treatments and technologies to improving business strategies and environmental stewardship, scientists play a crucial role in advancing knowledge and solving real-world challenges. The profession rewards curiosity, persistence, and a passion for evidence-based problem-solving, making it a deeply fulfilling career for those dedicated to pushing the boundaries of what is known.