Top Senior Level Data & Analytics Jobs in Washington DC
As a Digital Media Analytics Manager at Mondelez, you will be analyzing data while shaping the future of digital media strategy. Responsibilities include building digital media measurement toolkit, supporting the CX team, and driving analytical excellence. You will collaborate with global partners, lead with insights, and optimize for impact.
Seeking an experienced Senior Catastrophe Analyst to join the Catastrophe Risk Management department. Responsibilities include portfolio analytics, optimization of processes, validation of Cat models, communication with stakeholders, and providing insights on catastrophe risk.
The Senior Catastrophe Analyst will be responsible for overseeing portfolio analytics and risk management to drive profitability. They will work closely with underwriters and other stakeholders, providing insights and building tools and models. Strong proficiency in SQL and programming languages like VBA, R, and Python is preferred. The analyst should have knowledge of commercial insurance and reinsurance, as well as experience with Catastrophe modeling.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
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As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
The Senior Data Scientist will leverage advanced statistical analysis and machine learning to shape product development and identify opportunities for improvement. They will work with cross-functional teams to deliver analytics solutions and drive the adoption of data products.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways to increase the speed of the experimentation lifecycle.
Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
As a Senior Data Analyst at Square Banking, you will partner with cross-functional stakeholders to gain insights into customers, drive data-informed decisions, and deliver a remarkable cash flow home experience. Responsibilities include identifying key analytics questions, influencing product roadmap, optimizing funnels, and communicating with high-level partners.
Design, implement, and characterize signal processing algorithms for active and passive sonar systems. Provide technical leadership on multi-disciplinary teams. Collaborate with researchers and engineers to develop novel systems for national security solutions.
Develop quantitative/machine learning models to forecast product losses, analyze complex datasets, investigate external credit data, automate models and dashboards, and collaborate with various teams to ensure effective communication of loss expectations and trends.
Lead Quality Analyst overseeing QA Analyst group and release management of mobile products. Ensure no errors in mobile software through rigorous testing and adherence to QA procedures. Responsible for test design, execution, maintenance, and closure.
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