Top Remote Data Science Jobs in Austin, TX
Collaborate on product and business problems, apply technical expertise for quantitative analysis, develop strategies, define hypotheses, test opportunities, influence roadmaps, identify product metrics, and shape product development using data.
Senior Data Scientist in Marketing at Atlassian, responsible for using data analysis to understand customer engagement and measure the success of marketing investments. Collaborate on marketing and business problems, develop strategies, and drive insights. Requires 5+ years of experience in Data Science, proficiency in SQL, Python, and R, expertise in data storytelling and visualization tools, and experience applying statistical concepts to business problems.
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.
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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.
The Director of Data Science - Marketing will lead a team of data scientists to drive business growth through data-driven insights and strategic analytics. Responsibilities include developing quantitative models, optimizing marketing campaigns, and guiding strategic business decisions through data analysis. This role is highly strategic and impactful in shaping the future of the company's core products.
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 Applied Research Scientist at ServiceNow will be responsible for building next-generation Large Language Models for Enterprise Language Generation. They will use their AI/ML expertise to solve real-world challenges, collaborate with a team of developers and product managers, and contribute to the design and implementation of AI-first platform offerings.
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
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 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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