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2497 Job Offers

Medical Laboratory Scientist Group Lead
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United States , Mount Kisco
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35.59 - 58.75 USD / Hour
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Quest Diagnostics
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Data Scientist II
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Data Scientist II (Product Analytics) role in Canada. Leverage data from 200M+ learners to drive product insights. Requires strong SQL, Python/R, BI tools, and A/B testing expertise. Partner with product teams to translate analysis into actionable recommendations. Benefits include bonus and equity.
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Canada
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113600.00 - 142000.00 CAD / Year
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Coursera
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Applied Scientist
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Amazon seeks an Applied Scientist in Haifa, Israel, to build next-generation customer memory and personalization systems using ML and generative AI. You will design LLM-powered solutions, extract customer knowledge, and own end-to-end delivery of scalable models. Requires a PhD or Master’s in CS/...
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Israel , Haifa
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Amazon
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Applied Scientist, Personalization, Personalization
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Join Amazon's Personalization team in Haifa as an Applied Scientist to build next-generation customer memory systems. Leverage ML, generative AI, and large-scale distributed systems to extract and reason over customer knowledge. Requires a PhD/MS in CS/ML, strong coding skills in Java/Python, and...
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Israel , Haifa
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Amazon
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Medical Lab Scientist
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Seeking a skilled **Medical Lab Scientist** in Ulysses, US. This role requires a Bachelor's in biological/chemical science, MLS (ASCP) certification, and expertise in clinical lab science. You will accurately analyze and report diagnostic tests to aid patient treatment. Enjoy comprehensive benefi...
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United States , Ulysses
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28.10 - 40.77 USD / Hour
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American Nursing Care
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Postdoctoral Scientist, Amazon Robotics R&D
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Join Amazon Robotics in Berlin as a Postdoctoral Scientist for a one-year research role. You will advance computer vision and robotic manipulation for real-world warehouse automation. We seek a PhD with a strong publication record in robotics or computer vision. Collaborate with top scientists, p...
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Germany , Berlin
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Amazon
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Senior Applied Scientist
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Senior Applied Scientist role in Redmond, WA, driving AI-powered recommendation and generative systems across Microsoft’s consumer ecosystem (Edge, Windows, Copilot). Lead large-scale retrieval, deep ranking, and LLM-based personalization serving billions of daily requests. Requires expertise in ...
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United States , Redmond
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119800.00 - 234700.00 USD / Year
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Microsoft Corporation
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Data Engineer-Data Scientist – MLOps & Machine Learning
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Seeking a Data Engineer / Data Scientist for an MLOps-focused role in Suffolk, US. You will design scalable ML workflows and MLOps pipelines using Databricks and MLflow. Requires 5+ years of experience with cloud-based data platforms, strong machine learning fundamentals, and model lifecycle mana...
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United States , Suffolk
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70.00 USD / Hour
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Beacon Hill
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Data Engineer / Data Scientist – MLOps & Machine Learning
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Seeking a Senior Data Engineer/Scientist in Charlotte, NC to drive MLOps & Machine Learning initiatives. You will design scalable cloud workflows, build MLOps pipelines in Databricks, and manage model lifecycles with MLflow. Requires 5+ years of experience, strong ML fundamentals, and cross-funct...
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United States , Charlotte
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70.00 USD / Hour
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Beacon Hill
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Applied Scientist
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Join Wayve Labs as an Applied Scientist to advance embodied AI for autonomous driving. Leverage expertise in world modeling, reinforcement learning, or spatial AI to develop next-gen systems. Based in Sunnyvale, CA, this role offers equity, relocation support, and collaboration with world-class r...
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United States , Sunnyvale
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Wayve
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Applied Scientist
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Join a world-class team in Vancouver as an Applied Scientist, advancing Embodied AI through world models, reinforcement learning, and geometric foundation models. Ideal for candidates with a PhD or Master’s in ML, Computer Vision, or Robotics, plus 3+ years deploying ML systems. Enjoy equity, rel...
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Canada , Vancouver
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Wayve
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Applied Scientist
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Join a world-class team in London as an Applied Scientist, advancing Embodied AI for autonomous driving. You will develop world models, reinforcement learning, and geometric foundation models, leveraging expertise in ML, computer vision, and Python. This role offers attractive compensation, equit...
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United Kingdom , London
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Wayve
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Postdoctoral Scientist
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Amazon Robotics in Berlin seeks a Postdoctoral Scientist for a one-year research role at the intersection of computer vision and robotic manipulation. You will develop ML-driven solutions for real-world warehouse automation, working with hardware and software. Requires a recent PhD, strong public...
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Germany , Berlin
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Amazon Pforzheim GmbH
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Senior Data Scientist, Integrated Supply Chain
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Senior Data Scientist role at Baxter in Mississauga, Canada, driving ML solutions for integrated supply chain optimization. Leverage Python, SQL, and Power BI to improve operational efficiency and automate decision-making. Requires 5+ years supply chain experience, executive storytelling skills, ...
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Canada , Mississauga
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125440.00 - 172480.00 USD / Year
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Baxter
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Senior Applied Scientist, AWS Central Economics and Science
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Senior Applied Scientist role with AWS Central Economics & Science in San Francisco, New York, or Seattle. Leverage causal ML, neural deep learning, and Python to build models driving strategic decisions. Collaborate with stakeholders on incentive design and scientific rigor. Benefits include RSU...
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United States , San Francisco; New York; Seattle
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192200.00 - 260000.00 USD / Year
Amazon
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Sr. Applied Scientist
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Senior Applied Scientist sought for Alexa Availability team in Chennai, India. Lead R&D of ML and statistical models ensuring Alexa's reliability for hundreds of millions of users. Tackle complex challenges in time series modeling, anomaly detection, and LLM-based intelligence. Requires 3+ years ...
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India , Chennai
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Amazon
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Principal Associate, Data Scientist - Retail Bank Valuations Data Science
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Join Capital One as a Principal Associate Data Scientist in McLean, VA, driving data-driven innovation in Retail Bank Valuations. Leverage machine learning, Python, and SQL to build scalable models that optimize marketing efficiency and business strategy. Ideal for candidates with a quantitative ...
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United States , McLean
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161800.00 - 184600.00 USD / Year
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Capital One
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AI Research Scientist, Robotics
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Join Meta Superintelligence Labs as an AI Research Scientist in Robotics, advancing embodied AI through machine learning, reinforcement learning, and vision-language models. Based in Menlo Park, CA, you'll conduct fundamental research, develop novel data-driven paradigms, and push robotics fronti...
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United States , Menlo Park
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184000.00 USD / Year
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Meta
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AI Data Scientist
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Join Hunter Douglas as an AI Data Scientist in Broomfield, CO. Leverage machine learning, predictive modeling, and cloud platforms (AWS, Azure, GCP) to drive digital transformation in global supply chain operations. Requires 5+ years of AI/ML experience and Python/SQL proficiency. Enjoy a competi...
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United States , Broomfield
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95000.00 - 125000.00 USD / Year
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Hunter Douglas
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Data Scientist Senior - GenAI Solutions
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Senior Data Scientist sought for GenAI Solutions in Milan, Italy. You will lead full-stack ML projects, from data wrangling to deployment, leveraging Python, TensorFlow, and PyTorch. Requires 3-5 years’ experience with Generative AI pipelines and cloud/hybrid implementations (Azure/GCP). Drive bu...
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Italy , Milano
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Not provided
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NTT DATA
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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.