Top Data & Analytics Jobs
As a Marketing Science Analyst, you will collect and analyze consumer behavior data, develop statistical models, and collaborate with teams to create insights that improve business performance. You'll use analytics to drive decisions and communicate findings through presentations.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
Design and implement infrastructure for training, evaluating, and deploying deep learning models for self-driving semi trucks. Develop and optimize training pipelines, track metrics, and enable continuous integration and deployment of model improvements in collaboration with cross-functional teams.
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As Principal Data Scientist, you will define and execute Trustly's data science and AI strategy, develop machine learning models, drive adoption and implementation of AI technologies, collaborate with stakeholders, and monitor data governance and compliance.
The AWS Big Data and Analytics Architect will develop and implement data solutions, define an analytical technology roadmap, and collaborate with business leaders to establish analytics strategies. The role involves mentoring team members, creating prototypes, and driving advanced analytics initiatives across the organization.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
The Senior Data Engineer will design and implement data pipelines to manage large data sets for cybersecurity use-cases, collaborate with teams to support data-driven applications, and develop web services and APIs while ensuring production quality solutions.
As a Principal Data Scientist, you will lead the development of machine learning models for hotel demand and pricing predictions, collaborating with engineering and product teams to optimize revenue and present findings to senior management.
As a Software Engineer in Applied Machine Learning at Waymo, you will work on optimizing the planning system of autonomous vehicles, applying machine learning techniques to transform real-world driving challenges into solvable ML problems with an emphasis on safety and real-time application.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
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