297 results
FiltersThe Healthcare Data Operations Analyst will join Zócalo Health at a critical time in the history of our company. As an integral member, you will be responsible for ensuring the accuracy and timeliness of data shared with Medicaid health plan partners. You will support critical workflows that enable performance accountability, care quality, and business growth.
In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives.
This role accelerates decision-making across Serve Robotics by transforming raw data into actionable insights. You will own the architecture, automation, and reliability of our analytics data pipelines while collaborating closely with cross-functional partners to make data a strategic asset for our autonomy, operations, and product teams.
Enhance our cutting-edge AI technologies by providing high-quality input and labels using specialized software. Collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Refine annotation tools and select complex problems from advanced Earth Science fields to drive significant improvements in model performance.
Will drive Greenlight’s data reporting and analysis work, building visualizations and dashboards that track key metrics and inform decision-making across the organization. This person will also develop reporting on clean-tech industry trends, including data on large-scale projects and media coverage, to help identify opportunities and risks. A successful candidate will be someone who likes working collaboratively and iteratively and is willing to take risks.
You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues. Design data structures and storage schemes for efficient handling. Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting. Conduct Return on investment and benefit analysis. Document and present model process and model performance.
The Data Platform Engineering team is building the foundation for a best-in-class decision engine—empowering data scientists, machine learning engineers, and analytics teams to deliver insights and intelligence at scale. As a Data Platform Engineer, you’ll design, build, and evolve the infrastructure and tooling that enable our internal teams to move fast, work efficiently, and make data-driven decisions.
The Analytics Engineer II is responsible for building, maintaining, and optimizing data pipelines, models, and analytics frameworks that enable data-driven insights and strategic decision-making. This role will focus on integrating and analyzing key operational and customer experience data from Salesforce (SF), survey platforms, communication tools and Learning Management Systems (LMS). The Analytics Engineer II will work across medium-complexity data sets that support singular product lines.
Fetch is looking for a Senior Data Scientist to develop and scale its data science capabilities. This role involves architecting and operationalizing production-ready models that influence Fetch’s product strategy, personalization systems, and business outcomes. The role requires partnering cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.
Capture, analyze, and document business reporting and analytics requirements across multiple teams. Identify, evaluate, and catalog data sources; determine which are impacted or replaced by Oracle implementation. Design and oversee custom reporting and visualization solutions. Develop and maintain a prioritized backlog of data and reporting deliverables using Jira. Partner with IT and consultants to improve data models and establish metadata governance processes.