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Top Hybrid Data Engineer Jobs in Boston, MA
The FedNow Data Specialist will enhance fraud prevention strategies by analyzing transactional and behavioral data, recommending and implementing fraud detection rules, and collaborating with specialists to develop and monitor fraud prevention systems. Responsibilities include conducting statistical analysis, building predictive models, and communicating insights to stakeholders.
As a Data Analytics Audit Consultant, you will perform data acquisition and analysis for audit projects, develop management dashboards, and enhance data analytics capabilities within the organization. Responsibilities include data visualization, stakeholder collaboration, and supporting continuous improvement in audit processes.
The Head of Enterprise Data Access Management and Privacy Classification oversees the data access model, ensuring compliance with privacy and security regulations. Responsibilities include strategizing and leading data governance initiatives, managing a team, collaborating with internal and external partners, and implementing data privacy tools.
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As a Senior Data Operations Engineer at Klaviyo, you will develop and maintain the data infrastructure, create data models for business analytics, and collaborate across departments to support decision-making. You will manage cloud-native data environments focused on security and scalability, utilizing a range of technologies to handle large data sets and promote a self-service analytics platform.
As a Senior Data Scientist at Capital One, you will lead projects in machine learning, conduct research on self-supervised learning and transformer models, and build customer behavioral models. You will work with engineering teams to operationalize data science solutions across business units, impacting marketing, servicing, and fraud prevention.
As a Staff Software Engineer, you will enhance the Data & Analytics platform, leading technical projects that improve its scalability and resilience. You will also mentor engineers, guide architectural decisions, and collaborate with various teams to meet product growth needs.
The Senior Associate Data Architect at PwC will design and implement comprehensive data solutions, ensuring compliance with data governance and security policies. Responsibilities include developing data architecture strategies, collaborating with stakeholders, optimizing ETL/ELT pipelines, and leveraging cloud-based technologies to support data processing and analysis.
The Staff Data Science Tech Lead will design and implement advanced algorithms using machine learning to analyze data from the WHOOP wearable. Responsibilities include collaborating with various teams to develop member-facing features, conducting research, mentoring junior data scientists, and maintaining production services.
As a Senior Cloud Data Engineer, you will design, develop, and enhance data analytics solutions and pipelines, collaborate with cross-functional teams, implement data quality checks, and mentor junior engineers. Your role focuses on building cloud-native solutions and optimizing data processes to support data-driven decision-making in the investments sector.
The Machine Learning Engineer at ZS will build and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, and implement ML Ops. Responsibilities include writing production-ready code, collaborating with teams, and researching new technologies.
Top hybrid Companies in Boston, MA Hiring Data + Analytics Roles
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