This role plays a critical part in ensuring the successful technical implementation of new clients—spanning everything from data integrations and file exchange workflows to billing setup, performance guarantee tracking and configuration of key operational systems. You will manage both inbound and outbound data flows, build client-specific configurations and support the systems that drive member engagement, operations and client reporting.
The Enterprise Data Team collaborates with every department at GitLab to develop trusted data products and responsibly harness the power of our data. As a Senior Data Analyst, you will own the end-to-end development process for data products - from business requirements gathering, to dashboard development, to the delivery of actionable insights and recommendations.
Hungryroot is looking for a Senior Operations Research Engineer to be a part of our growing Data Science team, responsible for working directly on core Machine Learning/Operations Research algorithms for grocery personalization, recipe selection, and supply chain forecasting. As a member of the team, you will be building models collaboratively with others and implementing them in experimentation and production settings. You will analyze results of experiments and production data.
This pivotal leadership role is responsible for creating and driving the vision for leveraging data, building structures and processes, and product development. This leader will craft and influence data culture and practices while overseeing the technical infrastructure and product development that enables us to scale our programs and impact. The Head of Data & Technology will lead a team of senior data scientists and engineers.
The Analyst, Data will play a critical role in optimizing EFF’s data practices and amplifying efforts to ensure high-impact schools in marginalized communities have a pathway to affordable facilities. Reporting to the Director, Data and Insights, the Analyst will play a significant role in supporting the management of EFF’s data systems. The ideal candidate will possess excellent problem-solving skills and contribute to a team-oriented culture.
The Senior Technical Lead is responsible for leading a team in designing, building, and delivery of Nextech’s Data and Reporting solutions. This role evaluates upcoming initiatives, assesses technical feasibility, and ensures high-quality, timely delivery of projects while maintaining clear communication with stakeholders. The Senior Technical Lead works cross-functionally with Software Development Manager, Product, Development, Cloud Services, DevOps and Support, and acts as a technical authority on more complex solutions acts as a mentor across the organization.
Lead and scale our data engineering organization as a Senior Manager of Data Engineering. This strategic leadership role is responsible for managing senior engineers, mentoring junior managers, and driving the long-term vision and roadmap for our data infrastructure, pipelines, and platforms to ensure our data systems are reliable and performant.
Support research verticals focused on the extraction, normalization, and ingestion of civic data as a Research Fellow. Work within a team to build a database on U.S. government officeholders, candidates, and places using tools like SQL and web scrapers. Manage projects, ensure data delivery, delegate tasks, and communicate progress to the broader team.
Simulate real phone conversations with an AI assistant, helping to train smarter, more intuitive voice systems used by businesses every day. Input will directly influence how AI understands and communicates with real people. Make 24 short calls and receive payment after completing all calls that pass quality check.
Design, build, and deploy next generation AI-driven tools for market research, working at the intersection of data science and AI engineering. Develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. Build applications to simplify analytics and improve the efficiency of data processing. Collaborate with data analysts, product managers, UI designers, and software developers to create great products.