We are hiring a Data Analytics Engineer to support the VA RISE program, a federal initiative focused on improving how the Department of Veterans Affairs collects, integrates, and leverages data to better serve veterans. In this role, you’ll work closely with analysts, engineers, architects, product owners, and federal stakeholders to extract insights from complex data sets, build data pipelines, and support scalable reporting systems.
The Senior Performance Analyst will collaborate with internal and external partners to improve data quality, streamline new concept development, continuously improve outcomes, optimize workflows and reduce costs. They will translate business needs into meaningful analysis by blending healthcare business knowledge with data, technical, and analytical expertise. The role involves understanding healthcare data, performing analysis, and ensuring data implementation meets client and business requirements.
As a Data Scientist, you'll be responsible for the analytical needs of a team of engineers, designers, and product/marketing managers. You'll propose and conduct quantitative research into user behaviors, product flows, and business trends. Partner with product managers and engineers to scope new features and define key metrics. Contribute to the company's data culture through data table design and maintenance.
As a Data Scientist, you'll be responsible for all the analytical needs of an entire team of engineers, designers, and product/marketing managers -- helping empower the team and Thumbtack more broadly to build the best product, as quickly as possible. You will Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team.
A world-class data science contributor is needed as a Staff Data Scientist. This opportunity will allow operation at the highest levels of technical, strategic, and organizational impact, helping shape the future of a global entertainment platform. You will serve as a thought leader across multiple domains to influence the company’s strategic decisions through quantitative insights, modeling, and experimentation.
Establish the research function at Ethos with this foundational role, setting the vision for research across complex user journeys. You will lead research across complex user journeys and systems and understand and simplify multi-step workflows. Deliver high-impact narratives and visualizations that resonate with technical and non-technical stakeholders, including executives.
The Data Analyst will leverage data to drive business decisions and insights, working with various data sources and tools to collect, analyze, and report on data related to our products, customers, and operations, while collaborating with other teams to understand their data needs and provide solutions.
This role will specifically focus on collaborating with senior leaders, business stakeholders, and other members of the Data team to generate trusted analytics and insights to measure company performance, with expected outcomes of reducing time to insight and increasing internal alignment. Responsibilities include delivering high-impact analytical insights, maintaining strong relationships with stakeholders, and crafting analyses, reports, and dashboards.
Join Tubi's growing Data Science team as a Senior Data Scientist and help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. Lead end-to-end analytical projects that shape viewer experience and expand audience. Collaborate with content strategy, data engineering, product managers, and executives to embed data and experimentation.
We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems, a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, collaborate with stakeholders, and apply advanced machine learning models to enhance device recognition.