Top Data & Analytics Jobs in Boston, MA
The Analyst, Value Analytics & Operations role involves leveraging data analysis to enhance operations and client experiences. Responsibilities include contributing to client value stories, maintaining operational processes, and collaborating with different teams. The role requires strong data skills to investigate metrics, create reports, and support strategic insights.
As a Junior Research Scientist at EliseAI, you will develop machine learning models for conversational AI, conduct analyses to enhance decision-making, collaborate with teams on product development, and leverage the latest large language models in real-world applications.
The Investor Reporting Analyst will assist in daily operations of the Investor Reporting Team, focusing on reporting and remitting to investors such as Fannie Mae and Freddie Mac. Responsibilities include reconciliation, process improvement, collaboration with cross-functional teams, and supporting audits. The role requires attention to detail and a strong work ethic.
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The Alchemy Analyst will contribute to blockchain initiatives through research, product, and marketing tasks. Responsibilities include content distribution, user research, and educating developers on web3 topics.
As a Senior Data Scientist at Monte Carlo, you will lead the development of production-grade ML algorithms, manage ML projects from concept to deployment, and solve complex problems related to anomaly detection and prediction in a fast-paced startup environment.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
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