Top Data & Analytics Jobs in Baltimore, MD
The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.
As a Principal Engagement Lead, you will lead client-facing incident response engagements, guide clients through the incident response lifecycle, conduct scoping calls, and collaborate with teams to ensure effective resolutions. You'll build client relationships, provide strategic solutions, and communicate complex concepts with clarity while fostering a learning culture within the team.
The Senior Data Scientist will focus on building machine learning models for performance marketing, including designing Multi-Armed Bandit solutions and recommendation systems. The role involves collaboration with various teams to improve customer engagement and contribute to data-driven solutions, requiring hands-on work with data and coding.
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As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
As a Senior Data Scientist at Entefy, you will utilize your expertise in data science to drive productivity through advanced analytics. The role requires leading data projects, extracting insights from complex datasets, and demonstrating proficiency in various programming languages.
The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.
As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.
The Treasury Quantitative Expert leads the development and execution of quantitative models for managing credit risk, interest rate risk, and liquidity. This role involves preparing and analyzing large datasets, implementing models in production, ensuring regulatory compliance, and mentoring less experienced analysts.
As a Data Management Specialist, you will support survey data management for government and other clients, focusing on data cleaning, recoding, quality control, and compliance. You'll work with analysis teams to ensure data integrity and assist in project management, delivering accurate data files for reporting.
The Principal Sampling Statistician will design and execute sampling and weighting plans for surveys, apply statistical principles for data analysis, prepare reports and presentations, and advise on statistical methods related to sampling. They will also advance the organization's reputation through conferences and client consultation on statistical issues.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Data Annotator will label and tag multimodal data such as images and text, generate multiple-choice questions, and ensure quality through review and verification. This role is flexible, allowing self-motivated individuals to work task-based hours while contributing to AI development.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
Top Companies in Baltimore, MD Hiring Data + Analytics Roles
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