Top Data & Analytics Jobs in Washington DC,
The Staff LLM Data Scientist will design and fine-tune large language models for various applications, build advanced Retrieval Augmented Generation (RAG) pipelines, and implement evaluation frameworks for model performance. They will deploy models ensuring low latency and reliability, while collaborating with product and engineering teams.
Saviynt is seeking a Sr. Revenue Operations Analyst to drive full funnel accountability across the revenue engine. Responsibilities include optimizing data operations, translating business requirements, providing strategic insights, and enhancing sales enablement. Qualifications include 3-5 years of revenue or sales operations experience, expertise in Salesforce, strong communication and analytical skills.
The Energy Analyst will analyze and process market data to support energy management and power trading activities, develop energy applications, monitor market trends, and compile reports on energy market dynamics. They will collaborate with cross-functional teams to optimize data center energy consumption and pricing strategies.
Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.
The Quantitative Risk Analyst Lead will perform advanced data and statistical analysis, focusing on model creation and validation for Fair Lending compliance. Responsibilities include leading analysts, mentoring junior staff, analyzing large datasets, and presenting findings to management while adhering to regulatory standards.
As an eCommerce Media Analyst, you'll manage Amazon Advertising campaigns for multiple clients, analyze data to inform strategies, develop tools for campaign management, and provide feedback to internal teams to enhance automation and reporting.
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Data Analyst will focus on forecasting, reporting, and dashboard creation to support CareRev's growth organization. Responsibilities include translating business needs into insights, building leadership dashboards, conducting ad hoc analyses, synthesizing complex datasets, and managing sales forecasting in collaboration with finance.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The Senior Unified Communications Analyst will resolve user incidents related to Unified Communications, manage video teleconferencing systems, assist in installation and maintenance of communication equipment, and collaborate with cross-functional teams to ensure efficient operations. Weekly reporting and documentation are also part of the role.
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