Top Remote Data Science Jobs in Austin, TX
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Data Scientist will analyze large datasets to identify patterns, create predictive models, automate data collection processes, and provide actionable business insights. Responsibilities include developing algorithms, collaborating with engineering teams, and utilizing data visualization to enhance decision-making.
The Associate Revenue Cycle Analyst will manage revenue cycle projects, conduct trend analysis, and collaborate with teams to drive performance in operations related to prior authorizations and reimbursement. Responsibilities include tracking performance metrics, leading meetings, researching billing changes, and improving revenue cycle processes.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
The Senior Data Specialist is responsible for designing and maintaining data pipelines, developing ETL processes, and writing complex SQL queries. The role requires strong skills in Python, SQL, and Unix scripting, along with experience in data warehousing and analytics. The specialist will also support QA processes and define standards for data extraction and transformation.
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.
As a Staff AI Researcher, you will develop AI solutions to enhance health outcomes for millions, utilizing extensive medical data. Responsibilities include building prototypes with AI techniques, addressing complex data challenges, and optimizing model performance through feature engineering and evaluation metrics.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
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