Top Data & Analytics Jobs
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
The Data Engineer II will build and maintain data infrastructure, focusing on creating scalable data pipelines, managing transformations, and ensuring data quality and security. Responsibilities include coding in Python and SQL, developing on AWS, leading projects technically, supporting data analysts, participating in code reviews, and implementing tooling for data governance.
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The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.
The Revenue Operations Analyst will provide support to North American Sales Operations, assisting in the development of responses to sales requests, improving sales processes, analyzing data, and supporting the Sales team's use of Salesforce and Clari, among other responsibilities.
The Research Data Scientist will focus on understanding and adopting AI innovations to enhance ATPCO's data products. Responsibilities include advising product teams on AI-driven solutions for airfare and pricing, leading AI-based product evaluations, collaborating with data engineers on AI tools, and promoting AI through presentations and content creation.
The Lenfest Internship for Data Scientists at the Philadelphia Inquirer involves developing machine learning applications for local newsrooms, focusing on NLP techniques for location extraction, building data pipelines, and optimizing the BERT model while collaborating with a research team.
As a Sr. Data Scientist at Tracfone Wireless Inc., you will innovate and enhance customer experiences using machine learning and big data technologies. Your role includes analyzing business problems, developing algorithms, mentoring junior team members, and collaborating across functions to translate issues into data science solutions.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
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