Top Data & Analytics Jobs in Austin, TX
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As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.
The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.
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As a Lead Compliance Analyst, you will conduct branch office inspections using risk-based testing methodologies to ensure compliance with FINRA and state insurance laws. Responsibilities include developing inspection plans, analyzing data, and delivering results to partners, while maintaining compliance and identifying risk exposures.
The Data Scientist will develop the data analytic and research functions, build data operations systems, maintain ETL processes, and collaborate with technology and product teams to support organizational priorities. This role focuses on enhancing college admissions access and equity through data-driven insights and products.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
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The Senior Revenue Cycle Operations Analyst ensures cash integrity for healthcare services, oversees accounts receivable accuracy, manages payment posting and audits, develops procedures, and collaborates with the Finance team and external vendors to optimize revenue cycle operations.
The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
The Senior Data Analyst will develop reports and data insights for Omada Health, focusing on app engagement, clinical outcomes, and data quality. Responsibilities include creating Tableau dashboards, conducting ad-hoc analysis, collaborating with various teams, and defining operational processes to enhance analytics and reporting capabilities.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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