5 data contributor jobs found in Woonsocket

Aging Well Inc. 84 Social Street, Woonsocket, Rhode Island 02895 (401) 766-3734 POSITION ANNOUNCEMENT Finance Manager Part-Time Position (20-25 hours per week) Schedule: Monday–Friday, 8:00 AM – 1:00 PM? Hourly Rate: $25.00–$30.00 per hour About Aging Well Inc. Aging Well Inc. is a nonprofit senior center and Title III-C nutrition services provider serving Woonsocket and the surrounding region. We operate congregate meal programs, Meals on Wheels delivery, La Placita (Spanish-language programming for Latino seniors), MIAA Medicare counseling, wellness programs, and charitable gaming activities. Our mission is to support older adults in maintaining independence, health, and social connection. Position Summary The Finance Manager oversees all financial operations, manages grant compliance and reporting, coordinates audits, and ensures accuracy, consistency, and transparency in financial processes. This position supervises the Finance Assistant,...

Job Description We are seeking a software developer to support the design, development, and modernization of a web-based underwriting platform. This role is front-end focused, with significant responsibility for building rich user interfaces using Blazor Server, while also partnering closely with backend data layers powered by SQL Server. The ideal candidate has experience developing data-heavy, line-of-business applications and is comfortable working with complex workflows, large relational datasets, and enterprise stakeholders. This position will play a key role in migrating functionality from a legacy desktop application to a modern web-based solution, ensuring performance, usability, and data integrity throughout the application. Responsibilities Application Development Design, develop, and maintain web-based user interfaces using Blazor Server Implement front-end functionality to support complex underwriting workflows and high-volume data entry...

Job Description We're looking for a Senior Platform Engineer with expert level Kubernetes administration experience. You will build scalable, production-grade agentic AI systems for a platform team. This includes designing and developing intelligent agents, contribute to knowledgebase and orchestration capabilities, building modern React-based user interfaces, and support cloud-native infrastructure on Google Cloud Platform (GCP). This role is ideal for a strong full-stack engineer with experience in agent-based systems, React UI development, and Kubernetes-based cloud platforms. Agentic AI & Platform Engineering Design, build, and enhance intelligent agents within an agentic AI framework Contribute to agent orchestration, workflows, and reasoning patterns Implement and maintain knowledgebase management capabilities Integrate agents with backend services and data platforms in collaboration with data and platform teams Front-End Development...

Job Description The Senior Machine Learning Engineer will design, build, and operationalize machine learning solutions that power major initiatives for one of our largest clients. This role sits at the intersection of data engineering, data science, and software engineering, with a focus on scalable ML systems that drive measurable business impact across offers, campaigns, and customer experiences. You will partner closely with Product, Marketing, and Digital teams to translate business problems into ML solutions, leveraging large scale customer, transaction, clickstream, and third party data assets. Day to Day duties: Partner with data engineering to shape and consume domain assets across customer, transactions, store, redemptions, communications, clickstream, and 3P Acxiom/syndicated data. Design and implement robust feature pipelines (batch and streaming) that feed a shared feature store, with emphasis on behavioral, time series, and journey level features....

Job Description The Senior Machine Learning Engineer will design, build, and operationalize machine learning solutions that power major initiatives for one of our largest clients. This role sits at the intersection of data engineering, data science, and software engineering, with a focus on scalable ML systems that drive measurable business impact across offers, campaigns, and customer experiences. You will partner closely with Product, Marketing, and Digital teams to translate business problems into ML solutions, leveraging large scale customer, transaction, clickstream, and third party data assets. Day to Day duties: Partner with data engineering to shape and consume domain assets across customer, transactions, store, redemptions, communications, clickstream, and 3P Acxiom/syndicated data. Design and implement robust feature pipelines (batch and streaming) that feed a shared feature store, with emphasis on behavioral, time series, and journey level features....