Top Data Science Jobs in Tucson, AZ
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.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.
The Senior Research Scientist will architect and build pipelines for training models on driving data, develop and optimize prediction models, and mentor junior engineers while collaborating with perception and motion planning teams.
As a Senior Data Scientist in Fraud Detection, you will analyze and mitigate fraud risks using advanced analytics and machine learning. Collaborate with product and engineering teams to build data-driven solutions and improve fraud detection strategies while maintaining an understanding of current trends.
As a Senior Data Scientist, you will develop data-driven methods to measure and manage credit risk using advanced statistical methods and machine learning. Responsibilities include partnering with stakeholders, designing scalable models, manipulating data sources, and synthesizing insights for business decisions.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
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