Top Data & Analytics Jobs in Austin, TX
The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.
As a Data Architect, you will lead efforts in designing enterprise data governance frameworks, developing relational databases, and creating architecture solutions for a range of data use cases. You'll assess current IT infrastructure, ensuring compliance with federal standards while working closely with development teams in an Agile environment.
As an Economics Analyst, you will conduct applied research and consulting services focused on transportation safety, environmental, and natural resource management. Responsibilities include analyzing rulemaking documents, performing quantitative analyses like cost-benefit and econometrics, developing analytical methods and models, and drafting federal agency rulemaking documents. You'll collaborate with a multidisciplinary team and interact directly with clients.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
As a Senior Data Engineer at Republic Services, you will work on designing and implementing data solutions that enhance operational efficiencies and support sustainability initiatives. Responsibilities include developing ETL processes, managing data pipelines, and fostering effective data management practices to support the company’s growth in the recycling and waste sector.
The Senior Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and ETL processes. This role involves collaborating with data analysts and stakeholders to improve data accessibility and quality. The engineer will also work on cloud-based solutions and manage large datasets to enable data-driven decisions for the company.
As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.
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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.
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.
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.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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