Top Data & Analytics Jobs
You will collaborate with enterprise customers to understand their challenges and create solutions on Haus's decision science platform. Your role involves developing and implementing models, products, and tools, while ensuring quality outcomes through testing and validation. You will work with a team of economists and engineers to enable customer data utilization for improved decision-making.
The job is for a Senior Level 3 Database Administrator role at the Vice President corporate title. Responsibilities include rapid incident response, system tunings, compliance with technology roadmap, and leadership within the team. Required skills include extensive experience in Oracle database administration, Oracle technologies, and Oracle cloud.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
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The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
As a Business Systems Analyst at ExtraHop, you will analyze business and technical requirements, manage SaaS applications, design solutions using Salesforce, support internal customers, and participate in agile project development. Requires 2+ years of experience and strong Salesforce knowledge.
Seeking a Full Stack Data Scientist with expertise in data science and software engineering to develop end-to-end data-driven solutions. Responsibilities include data collection, preprocessing, exploratory data analysis, machine learning model development, software development, integration, performance monitoring, maintenance, and collaboration with cross-functional teams.
The Senior Emerging Product Enablement Analyst will prepare new automotive software products for market, ensuring successful product knowledge transfer, training, and customer engagement. Responsibilities include developing training materials, providing technical support, collaborating with sales for enablement resources, and gathering customer feedback to inform product improvements.
The Developer Architecture Analyst at Imply is responsible for gathering intelligence on real-time analytics pipelines, comparing technologies and architectures, creating qualification criteria catalogs, and influencing product roadmaps. The role involves deploying technologies, sharing knowledge, shaping educational material, and staying updated on Apache Druid and related technologies.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
The Lead Enterprise Data Architect will design and implement a centralized data platform, manage data integration and governance, optimize performance, and collaborate with teams to enhance data capabilities.
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