Top Data & Analytics Jobs
The Analyst II, Business Applications will be responsible for implementing, supporting, and maintaining various business applications within the IT organization. They will play a key role in application change management, incident management, and project management, collaborating with stakeholders and vendors to ensure system performance and security.
Build robust data solutions and data pipelines for a real estate MLS workflow and data platform. Collaborate with cross-functional teams to enhance data infrastructure and quality. Shape data engineering team standards and culture. Work in New York City office.
As a Senior Business Analyst at Vertafore, you will lead and drive business analysis efforts for complex projects, collaborate with stakeholders, and mentor other analysts. Responsibilities include requirement gathering, documentation, facilitating workshops, and ensuring project success through effective communication and problem-solving.
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The Data Engineer will work closely with Enterprise Architecture and Technology Leadership to design and implement modern data infrastructure on Azure. Responsibilities include developing data models, migrating data workloads, defining requirements for stakeholders, and collaborating throughout the entire delivery lifecycle.
Lead the greenfield development of consumer marketing and app feature attribution products through platform and data engineering. Collaborate with founders, marketing leadership, product managers, data scientists, and tech leads. Promote creativity in a team culture that values calculated risks.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
As a Staff ML Engineer, you will design and build ML architecture and data pipelines for large-scale projects, manage and enhance the existing ML platform, and write scalable software for production environments, all while collaborating with diverse stakeholders.
Work closely with stakeholders to develop data models and dashboards for data-driven decision-making. Design and build dashboards using tools like Tableau and Grafana. Document models, define metrics, and train end users. Bachelor's degree in related field and 2+ years of relevant experience required.
The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
Overjet is looking for a Senior Data Engineer to design, develop, and implement data solutions that enhance the company's data capabilities and AI insights. The role involves working with a team to improve patient outcomes, support diagnoses, and enhance operating efficiency in healthcare.
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