Top Data Science Jobs in Austin, TX
The Senior Data Scientist, Data Products role involves leveraging data to enhance product creation and strategy through collaboration, automated systems, quality metrics, and ad-hoc analysis. Responsibilities include creating insights and applying the latest technology trends while leading projects independently.
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As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
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 Lead Data Scientist will apply expertise in AI to design and build advanced analytics engines, solve business problems using data science methods, and collaborate with a team of data scientists and engineers. They will communicate solutions to business partners and ensure models are scalable and interpretable.
Conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning. Develop AI/Machine learning models to detect credit card information attacks. Collaborate with product stakeholders to formulate and solve complex technical data problems.
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.
In this role, you will lead customers in transforming their data and analytics strategies, collaborate with customer leaders to address business challenges, and contribute to the growth of the Data and Analytics Consulting practice at Point B. You will work with diverse teams to plan and execute data initiatives, leveraging your expertise to drive measurable business outcomes.
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