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Top Hybrid Data Science Jobs in Austin, TX
Assist with data analysis projects in John Deere's Intelligent Solutions Group, utilizing analytics techniques to clean and analyze data, providing actionable insights, and collaborating with team members to present findings effectively.
The Staff Scientist will lead AI/ML solutions development, collaborating with stakeholders and teams to enhance customer experience and profitability. Responsibilities include mentoring, data modeling, problem framing, and ensuring scalable, high-quality analytical products. The role requires clear communication of insights and recommendations to drive data-driven decisions.
The Sr. Scientist will drive data-driven decision-making by applying Data Science techniques, building predictive models, analyzing large datasets, monitoring model effectiveness, and collaborating with cross-functional teams to solve complex business problems.
As an AI & GenAI Data Scientist, you will leverage advanced analytics and machine learning techniques to extract insights from large datasets, develop predictive models, conduct statistical analyses, and create data visualisations to solve complex business problems.
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The Data Scientist at Cloudflare will enhance the cloud data analytics platform, align with business leaders, and implement machine learning models. Responsibilities include improving data collection, mentoring the team, and using statistical analysis for business insights, while collaborating closely with product and engineering teams.
As a Data Specialist, you will design and develop analytics domains, collaborate with data teams, own data visualization tools, manage the data catalog, and provide insights based on product data, contributing to data-driven decisions within Sonar. You will work closely with stakeholders to define analytics needs and ensure metrics are accessible and well-defined.
The Senior Revenue Operations Analyst will manage sales incentive processes, analyze performance metrics, collaborate with sales and finance on pricing strategies, and develop revenue forecasting models. This role emphasizes data analysis to drive insights and improve operational efficiency.
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.
Top hybrid Companies in Austin, TX Hiring Data + Analytics Roles
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