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Top Remote Data & Analytics Jobs in Austin, TX
The GIS Analyst will maintain GIS datasets and publish ESRI services for RapidDeploy products, ensuring data reliability and user-friendliness. Responsibilities include engaging with customers to determine requirements, managing GIS projects, creating maps, and optimizing datasets. The role involves custom scripting and process improvements to enhance operational efficiency in GIS functionalities.
As a Sports Statistician, you will be responsible for observing games and reporting key plays while utilizing Genius Sports software. You will undergo a training program to ensure accurate game analysis and will enjoy flexible scheduling, particularly on weekends and evenings.
As a Senior Analytics Engineer, you will design, build, and maintain data models, collaborate with various teams on data transformations and governance, and ensure high-quality data products. Your role will focus on leveraging tools like dbt and Snowflake to drive innovation and informed decision-making across the organization.
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The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
As a Senior Staff Researcher at SoFi, you will lead complex research projects to influence product and business strategies, collaborate with cross-functional teams, and mentor junior researchers. You will communicate insights to stakeholders, develop reusable research tools, and drive a user-centric culture within the organization.
The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
Top remote Companies in Austin, TX Hiring Data + Analytics Roles
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