Top Senior Level Data & Analytics Jobs in Washington DC,

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Senior Data Analyst will perform strategic data analysis, supporting various departments through data-driven recommendations. Responsibilities include developing and maintaining reports in Salesforce, conducting ROI analysis, and ensuring data quality. The role requires collaboration with teams to drive business decisions based on analytical insights.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

As a Data Warehouse Analyst, you will conduct complex analyses to identify and address data quality risks and control gaps. You will work with technology and business partners to implement data governance initiatives and develop standards for data management. Your role includes creating complex SQL queries for data quality scorecards and ensuring compliance with data privacy and security standards.

The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.

As a Data Scientist at Monte Carlo, you will design and implement production-grade machine learning algorithms, lead ML projects, and solve complex challenges related to anomaly detection and prediction. This role requires collaboration with a team of data scientists and engineers in a fast-paced startup environment, focusing on enhancing data reliability.