Top Remote Data & Analytics Jobs in Pittsburgh, PA
Responsible for planning and implementing advertising campaigns across various channels, measuring campaign performance, conducting optimization, and staying updated on ad tech advancements. Collaborate with acquisition marketing team to align strategies and drive key insights for the buyer journey. Requires 4-5 years of digital marketing experience and strong analytical skills.
Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.
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The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.
The Senior Backend Engineer will lead the development of fraud detection solutions, focusing on backend software, traffic analysis, and the implementation of scalable systems. Responsibilities include working with data sets to identify fraud patterns and enhancing backend systems for real-time processing, collaborating with cross-functional teams.
The Senior GRC Analyst will execute engagements related to NIST and CIS frameworks, assess client governance, risk, and compliance programs, develop custom methodologies, and collaborate with offensive security teams. Responsibilities include delivering technical reports and staying updated on industry trends to enhance client security postures.
As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.
The Treasury Operations Analyst at Backflip will manage daily cash flows, conduct cash reconciliations, ensure compliance with internal policies for wire transfers, support the accounting team with payments, and implement process improvements. This role requires attention to detail, strong organizational skills, and the ability to thrive in a fast-paced environment.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Scientist will lead data analysis and machine learning efforts to extract insights from complex datasets, drive product enhancements, and influence strategic decision-making. Responsibilities include statistical modeling, data mastery, and mentorship within a cross-functional team to deliver machine learning solutions.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
Top remote Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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