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Top Data & Analytics Jobs in Austin, TX
The Staff Scientist will lead a team in developing AI/ML solutions to enhance GM's customer experience and profitability. Responsibilities include collaborating with stakeholders to create impactful data analytic models, mentoring team members, and guiding the team on delivery quality and speed. The role requires communication of insights and trends to influence business decisions, while staying current on advancements in data science.
The Sr. Scientist role involves applying data science and modeling to drive data-driven decision-making, building predictive models, analyzing data, and collaborating with cross-functional teams to implement solutions that tackle business problems. Responsibilities include preprocessing data, presenting findings, and leading project planning efforts.
As a Staff Data Scientist at Upstart, you will leverage your expertise in data science and machine learning to identify issues with models, analyze data for personalized interventions, and present findings to key stakeholders. You will collaborate with the Machine Learning team to build and evaluate models and write clean and efficient code.
As a Staff Analyst in Growth Analytics, you will analyze user behavior, funnel performance, and the effectiveness of growth strategies at Upstart. You will collaborate across teams to develop analytical frameworks and experiments, mentor junior analysts, and enhance growth data capabilities.
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The Associate Claims Examiner processes and investigates incoming claims, determines carrier liability, issues payments, and manages claim documents while building strong relationships with carriers, customers, and internal departments.
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The Threat Analyst role involves analyzing malware and detection tickets, improving detection capabilities, and assisting internal partners regarding threat detection inquiries. The analyst will work closely with various teams to enhance product detections and manage false positive detections effectively.
The Business Intelligence Analyst I analyzes damage performance and offer strength for CAI Offers Businesses, aiming to optimize vehicle offers using data analysis and algorithms. Responsibilities include tracking valuations, consulting on strategy, and collaborating across various teams to improve offer strength.
The Senior Manager in Data & Analytics at PwC will design and implement data solutions, leveraging advanced technologies to transform raw data into actionable insights. Responsibilities include developing data pipelines, managing client relationships, leading teams, and ensuring data quality and compliance. This role requires a strategic advisor who can navigate complex challenges and drive business growth.
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning techniques to extract insights from large datasets. Your responsibilities include developing predictive models, conducting statistical analyses, and creating data visualizations. You will also work with clients to understand their business problems and implement AI and Generative AI solutions, while contributing to team success and learning opportunities.
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The GIS Analyst will manage GIS datasets, publish ESRI services, and support various teams. Responsibilities include engaging with customers to define data needs, processing customer data, ensuring data integrity, and creating custom GIS tools. The analyst will work closely with project management and delivery teams to enhance operational efficiency and facilitate informed decision-making in public safety contexts.
The Flight Systems API Analyst will enhance operational efficiency by analyzing flight operations, troubleshooting API issues, creating AI tools, and supporting product integrations while collaborating with various teams.
As an Insights Analyst, you will analyze customer data and metrics to provide actionable insights, enhance customer experiences, and support business strategies. Your role includes KPI reporting, collaborating with stakeholders, performing analytics deep dives, and effectively communicating findings to inform decision-making.
As a Data Engineer at Bonterra, you will design data models, build data pipelines, and create impactful analytics solutions to support nonprofit clients. Your role involves collaboration across teams to deliver actionable insights and mentoring colleagues while staying updated on data technologies.
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