Top Remote Data Science Jobs in Austin, TX
Staff Data Scientist responsible for deep analysis of customer behavior, segmentation strategies, analytical deep-dives, and creating personalized segmentation strategies. Requires 8-10+ years of experience in analytics to drive key business decisions and expertise in SQL, Hadoop, and statistical analysis techniques.
Join a world-class Data Science team at a leading tech company, using data to drive insights about products and customers, collaborating with cross-functional teams, and influencing business strategies through analytics and experimentation.
Build cloud-based AI/ML solutions for enterprise services, collaborate with team on software development, work with product owners on requirements, and deliver high-quality solutions.
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Join an enterprise AI company as a Revenue Operations Analyst to support sales and marketing teams in selling better, faster, and more efficiently. Responsibilities include refining lead qualification processes, supporting sales team with analytics, maintaining CRM data, and enhancing sales productivity.
The Senior Data Scientist at Bonterra is responsible for developing analytics and predictive models to support the capabilities in the platform. They will work closely with the team to optimize user experience and outcomes for enterprise-level software.
As a Senior Data Scientist, you will lead technical delivery of strategic projects, develop algorithms and models, collaborate with teams, establish performance metrics, and communicate insights to stakeholders.
Processing, cleansing, and analyzing data, building and optimizing classifiers using machine learning, collaborating with stakeholders to provide data-driven solutions, and predicting future trends through data modeling.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth through data insights. Responsibilities include driving results, breaking down projects, resilience, and coaching team members. Required skills include team management, results-driven mindset, adaptability, and technical expertise in Python, SQL, and NLP.
Architect data pipelines, optimize model performance, establish metrics, lead and mentor data scientists, analyze and solve problems using technology
As a Data Scientist I at Oscar, you will be responsible for developing models and tools to understand medical costs across networks, negotiate reimbursement for out-of-network providers, and help manage medical costs for members. You will work closely with various teams to leverage data sources and enhance healthcare reimbursement.
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