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FiltersThe Government Programs Analysis & Efficiencies Senior Analyst will play a pivotal role in supporting the operational success of Medicare, Medicaid, and the Exchange programs. This analyst develops data-driven solutions that enhance efficiency and reduce manual efforts. Under the guidance of the Operations Manager, this analyst utilizes complex datasets to identify actionable insights that inform strategic decisions and drive ongoing improvement.
Define and standardize core business metrics and KPIs across the organization, ensuring consistency and eliminating duplicate definitions. Establish analytics capabilities and frameworks across the organization. Translate complex health data into actionable insights that drive clinical decisions and operational excellence. You will build data models using our modern stack and implementing self-service analytics.
We’re looking for audio editing specialists who live and breathe sound design, waveform editing, noise reduction, mixing and mastering, multitrack session work, and vocal processing. You’ll challenge advanced language models on topics like EQ balancing, compression techniques, spatial audio, automation envelopes, DAW workflows, podcast editing, and audio post-production for film. You will converse with the model on editing scenarios and theoretical audio engineering questions, verify technical accuracy and creative logic, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
Play an important role during this journey by collaborating with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in customers. Help ensure customer success by increasing focus and technical accountability, maximizing the value they get of our platform and the return on investment. This is a hybrid technical and commercial role, driving growth in assigned customers and use cases through leading stakeholders and building executive relationships.
Design and develop applications and systems that ingest, cleanse and normalize diverse datasets; and automates process workflows, system notifications, and structured data driven communications. Collaborate with process owners and business stakeholders to determine requirements. Deliver technical and subject matter expertise on programming techniques for data management and BI tooling.
As a Senior Data Engineer on the Data Product team, you will be responsible for designing and building mission-critical data services. These features analyze and provide insights into blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. You will build highly scalable features that integrate with dozens of blockchains; design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data; and collaborate across departments to implement novel data models that enhance TRM’s products.
Looking for a game-changing internship? You’ll find it at SAS! As an intern on the Risk Data and Analytics (RD&A) team, you’ll collaborate with quantitative analysts and data scientists on the implementation and backtesting of credit risk and default probability models. You’ll support the development of data validation, reconciliation, and monitoring frameworks and participate in testing and deployment of enhancements, and contribute to the documentation of data workflows.
Experian is looking for an experienced Principal Data Scientist to join our Analytics Innovation group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing analytics models that drive strategic decision-making across the consumer credit lifecycle. The ideal candidate will have deep technical expertise in coding intelligent agents, strong analytical acumen and a passion for applying AI to real-world marketing challenges in financial services.
Senior Staff Database C / C++ Software Developer to be a part of building the next-gen database platform using and contributing to the latest open-source technologies. Analyze storage/memory/compute performance and scalability bottlenecks in the system and build targeted software solutions. The role involves designing and building self-diagnostic and self-healing system capabilities.
As an ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills.