Top Data & Analytics Jobs in Boston, MA
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As a Senior Machine Learning Engineer at Movable Ink, you will lead the advancement of core machine learning solutions and infrastructure. Responsibilities include building scalable models, working on recommender-system challenges, and collaborating with engineers to enhance the ML platform. Requirements include 6+ years of SWE experience, a Master's degree in a technical field, expertise in deep learning frameworks, and a strong understanding of machine learning theory.
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The Senior Category Analyst at SharkNinja plays a critical role in analyzing category health, market trends, and competitor performance to develop winning strategies. Responsibilities include crafting sell-in stories, generating actionable insights, and delivering business health reports. The role requires strong analytical skills, strategic thinking, and effective communication with internal and external partners.
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The Ninja Test Kitchen is seeking a Food Scientist to conduct research, development, and sensory testing to shape product roadmap and development. The role involves collaborating with cross-functional teams, conducting sensory testing, and providing actionable insights for product decisions.
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Analytics Business Partner responsible for integrating data insights into strategic decisions, collaborating with leaders, and driving organizational growth through evidence-based advice in a global company focused on economic empowerment.
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Hiring a Principal Machine Learning Engineer/Data Scientist at Chewy to work on model development, optimization, tuning, and experimentation. Responsible for collaborating with cross-functional teams to enhance customer experience through personalized recommendations and search functionalities. Requires advanced degree or 10+ years of experience in data science and machine learning.
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Develop, maintain, and enhance analytics solutions to provide business insights, perform data investigations, monitor customer behavior, and automate data refresh processes using various tools and technologies.
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Pluralsight is hiring a Senior Machine Learning Engineer to develop robust, scalable production ML systems and work closely with Data Scientists to turn prototype algorithms into customer-facing solutions. The ideal candidate has a passion for using machine learning to deliver product personalization at scale and has experience building production ML systems as part of a product development team.
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As an IBM AI Evangelist, you will play a key role in promoting and advocating for the adoption of IBM AI technologies. Responsibilities include educational outreach, thought leadership, community building, collaboration, and technical support.
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Seeking an AI Evangelist with a focus on IBM Watsonx to evangelize, promote, and advocate for the adoption and understanding of IBM AI technologies. Responsibilities include educational outreach, thought leadership, community building, and collaboration with sales and marketing teams.
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Machine Learning Engineer Co-Op focusing on NLP and Computer Vision applications at Walmart Advanced Systems & Robotics. Responsibilities include developing machine learning models, collaborating with cross-functional teams, conducting research, evaluating model performance, and presenting project progress.
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Seeking a Senior Information Security Analyst with a minimum of 5 years of experience in information security, including expertise in vulnerability scanning tools, IAM principles, PAM tools, data encryption technologies, SIEM platforms, and EDR tools.
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Seeking a Senior SQL Server Database Administrator to design, implement, and support scalable data management solutions, troubleshoot and optimize database issues, monitor system performance, and ensure high availability and disaster recovery. Responsibilities include database administration, tuning and optimization, security and compliance reviews. Required qualifications include a degree in a technical discipline, 5+ years of SQL Server experience, expertise with HA/DR, performance tuning, virtualization, security management, backups/restores, knowledge of Windows Servers/Active Directory.
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Engage in cutting-edge research to design, develop, and enhance fraud detection products, analyze and interpret vast datasets using data science and machine learning, collaborate with teams to integrate research findings into practical solutions, utilize and improve upon technology stack, contribute to the field of bot and fraud detection.
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