Top Data & Analytics Jobs
Provide technical design and guidance for the development team, design and develop data pipelines, build and train machine learning models, mentor team members, integrate with RESTful web services, design and develop RAG applications, and more.
As a Lead Data Scientist in the Search and Browse Applied Data Science team at Target, you will develop and deploy scalable deep learning models, architect large-scale AI systems, build NLP technology, create data pipelines, conduct data analysis and research, and mentor other engineers. You will contribute to enhancing the search experience for Target's guests and work on cutting-edge machine learning and NLP techniques.
As a Senior Data Scientist, you will develop and implement data processing software and optimization algorithms, apply AI and machine learning techniques to solve business challenges, and collaborate with various teams to bring products to market. You will also maintain and deploy analytics software and advocate product solutions to internal clients.
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Develop and validate analytical methods for quantitation of drugs/metabolites and biomarkers in biological matrix. Operate scientific equipment like mass spectrometers and chromatographic systems. Review data, author technical documents, and present scientific work. Train and mentor junior associates. Degree in Chemistry, Biochemistry, or related field required. Proficiency in English, knowledge of laboratory analytical techniques, and regulatory policies essential.
The Quality Engineering Analyst is responsible for conducting investigations related to quality events, managing product impact assessments, and improving quality system processes. Duties include technical writing, developing corrective actions, generating quality metrics, and risk management activities. The role supports internal customers and ensures compliance with GMP standards through detailed analysis and documentation.
Broadridge is hiring a Senior Oracle Database Administrator for a hybrid position, responsible for database administration tasks, performance optimization, monitoring, backup and recovery, and collaboration with development teams. Requires 5+ years of experience with Oracle Database Administration, RDBMS and NoSQL technologies, Linux OS, automation tools, Oracle Server Database management, AWS/Cloud Technologies, and database security compliance.
The Data Architect will lead the design and implementation of the company's data platform and data lake, ensuring best practices in data management and governance. Responsibilities include developing architectural standards, evaluating the existing data platform, collaborating with business partners for requirements, mentoring team members, and driving data modernization efforts.
Lead development teams on data and analytics projects, acting as the primary developer while coordinating with offshore developers. Analyze and design solutions based on client project directions, defining tasks for developers and supporting escalations when necessary.
The Data Scientist will solve healthcare data-driven problems using machine learning and predictive modeling methods, collaborating with the Data Science team and Product Management to maximize the utility of predictive modeling in healthcare operations.
The Sales Representative will prospect, engage, and manage clients, while promoting CoStar and LoopNet products. Responsibilities include understanding client needs, owning the sales cycle, conducting product demonstrations, and networking within the commercial real estate market.
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