Top Data Science Jobs in Phoenix, AZ
Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.
Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
As a Data Annotation Specialist at Fi, you will review and label video data, maintain organized records, and ensure data quality standards to support machine learning projects, all while working flexibly part-time.
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
The Multilingual Data Specialist at Dialpad will focus on enhancing Ai features for transcription and sentiment analysis in German and French. Responsibilities include data collection for ASR and NLP, providing linguistic expertise, designing workflows for data annotation, training annotators, ensuring data quality, and collaborating with the data science team throughout the project lifecycle.
The Photonics Research Scientist will initiate and drive research projects in photonic technologies, develop optical devices and circuits, conduct theoretical studies, and collaborate with engineers. Responsibilities include managing R&D timelines, modeling components, and disseminating research results through publications and prototypes.
The Senior Application Scientist configures and supports the implementation of Dotmatics solutions in complex laboratory and research environments. Responsibilities include data integration, monitoring data flow, conducting technical reviews, providing customer training, and collaborating with cross-functional teams to meet customer needs.
The Data Scientist will design and deploy AI-driven features on Candidly's financial wellness platform. Responsibilities include developing machine learning models, conducting data analysis, optimizing user experience, and collaborating with teams to innovate product features. The role requires staying updated on AI advancements and translating complex ideas into actionable solutions.
The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.
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