Top Data & Analytics Jobs
The Staff Machine Learning Engineer will lead the development and deployment of algorithms for robotic manipulation, including behavioral cloning and reinforcement learning. Responsibilities include collaborating with hardware and software teams, conducting simulations and real-world testing, and staying updated on advancements in robotics.
The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.
The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.
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The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
The Data (ETL) Architect will lead data management and migration projects focused on Salesforce.com and other cloud tools, develop and maintain data processes, assess risks, and convert client needs into data requirements with deep ETL expertise and strong communication skills.
Join Rapid Finance as a Business Intelligence Analyst to design, develop, and implement Data Warehouse and BI programs. Work with stakeholders to identify requirements, leverage data visualization tools, and translate business requirements into logical data models. Retrieve and aggregate data from multiple sources to drive decisions and communicate insights. Responsibilities include developing dashboards, analyzing key performance indicators, configuring data mart schemas, and supporting various teams with data insights.
Looking for a Data Engineer to develop Enterprise Data Warehouse and Analytics environment, lead analytics projects, and communicate with business leaders to translate requirements into successful solutions. Must have 5-7 years of business analytics experience in IT, 3-5 years of data warehouse development experience, and strong knowledge of relational data warehouse modeling.
The role involves building data science infrastructure for Generative AI products, developing evaluation frameworks for LLM efficacy, adapting statistical models for economic problems, and collaborating with stakeholders to drive product decisions and insights.
The SEAL Research Scientist/Research Engineer will be focused on designing and implementing evaluation benchmarks, researching red teaming methods, and developing automated rating systems. The role emphasizes collaboration, technical research, and prototyping, targeting improvements in AI safety and evaluation processes.
Manager of Generative AI team responsible for managing and leading researchers and engineers. Leverage expertise in LLMs and generative models to create AI roadmap. Work on cutting-edge technologies and collaborate with professionals.
As a Staff Data Scientist at Lyft Media, you will be responsible for implementing machine learning algorithms for digital advertising, conducting exploratory data analysis, developing statistical models, and collaborating with software engineers for production implementations. Your work will directly impact advertising strategies within the Lyft platform.
As an Analytics Lead, you will develop analytical frameworks to understand market dynamics, influence business strategies, analyze product trends, and provide insights to senior leadership. You will manage projects in a fast-paced environment, become an expert in marketplace trends, and support reporting for leadership.
The Principal Engineer will lead the Operations Analysis team to deliver analytical products guiding business strategy and product development. The role involves designing rigorous analyses, supporting requirements definitions and effectiveness studies for military operations, enhancing internal modeling and simulation capabilities, and presenting analytical findings to stakeholders.
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