Top Data & Analytics Jobs
The Manager of Data and Analytics will deliver insights for the Revenue Management and Finance team, analyzing large datasets to identify trends, creating dashboards, and implementing data models to enhance performance and support cross-functional collaboration.
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 Director of Business Development at WillowTree is responsible for leading relationships with key strategic accounts in the Data and AI vertical. They collaborate with VPs of Business Development, identify target accounts, articulate product features, craft executive-level proposals, and nurture C-level relationships with clients.
Featured Jobs
As a Senior Data Engineer at SADA, you will develop and optimize data platforms, focusing on BI and data engineering to ensure seamless data flows and insightful reporting. Responsibilities include project leadership, mentoring, developing metrics for business reporting, and collaborating with business leads to draw insights from data.
As a Data Scientist at Copper River Cyber Solutions, you will analyze complex datasets, develop and operationalize predictive models, and enhance the organization's cybersecurity posture. You will collaborate with teams to translate business needs into data science solutions, clean and preprocess data, and communicate insights effectively, all while adhering to federal regulations.
The Senior Data Engineer will design and build a scalable big data analytics platform, optimize search solutions with Elasticsearch and OpenSearch, collaborate with teams to implement technical specifications, improve search performance, and mentor junior engineers.
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 Manager will lead eDiscovery system implementations and manage client projects, ensuring deliverables are met. Responsibilities include overseeing teams, facilitating workshops, developing client relationships, and managing project documentation and budgets. The role requires collaboration with legal and IT stakeholders to create effective solutions, mitigate risks, and enhance methodologies.
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.
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