Top Data Science Jobs

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 Associate Data Scientist at Kemper will participate in the PMU program to develop analytical solutions and support the organization on various projects. Responsibilities include engaging in learning activities, completing assignments, developing analytical solutions, and communicating insights to the team.

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 Staff Data Scientist will own all aspects of data science within products, design and build machine learning models, develop data pipelines, and provide insights for stakeholders. This role involves mentoring junior scientists and staying updated on industry trends. Excellent communication skills and a PhD in a quantitative field are required.

The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.

The Data Scientist is responsible for analyzing structured and unstructured data to extract insights and apply statistical algorithms. This role involves utilizing machine learning techniques, developing data-driven models, and visualizing data analysis results to inform product teams and enhance analytics capabilities.

The CRMSO Data Specialist leads data analytics strategies to support Credit Risk Management. Responsibilities include developing analytics products, managing data inventory, providing reporting solutions, strategizing implementation needs, enhancing data quality, and managing CRM product priorities in collaboration with technology partners.