Top Hybrid Data Science Jobs

The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.

As a Lead Data Scientist at Brigit, you'll develop and maintain models to assess credit risk, optimize marketing spend, and reduce customer churn. You'll leverage rich data sources, collaborate with product and engineering teams, and utilize machine learning techniques to enhance financial services for customers living paycheck to paycheck.

The Senior Data Scientist will lead the development of data models and algorithms to solve business problems within the Perception team. Responsibilities include optimizing data strategies, improving scalable pipelines, deploying machine learning solutions, and presenting insights to stakeholders while staying updated on advancements in the field.

As a Research Scientist, you will develop solutions for quantum technologies within Q-CTRL's product suite, focusing on improving performance using innovative machine learning methods and quantum control techniques. Your role will include collaboration with the quantum product team to direct research goals and documenting complex solutions in accessible language.

The Senior Data Scientist works within the DevOps Team to design and develop the Outage Management Ecosystem, incorporating predictive modeling, data integration, and analytics solutions. This role involves collaboration with business partners, maintenance of reporting applications, and ensuring system reliability. The individual will also conduct system testing and root cause analysis in a micro-service architecture on Kubernetes.

As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.

The Optimization Research Scientist will focus on applied research in mathematical optimization methods, particularly in the context of energy markets. Responsibilities include designing optimization formulations, promoting mathematical modeling, authoring research papers, and coding in Python using optimization libraries. A strong publication record and a PhD in a quantitative field are required.

As a Senior AI Research Scientist, you will apply machine learning and forecasting techniques to accelerate the decarbonization of electricity systems, conduct applied research, develop broad solutions for energy markets, mentor engineers, and publish findings in academic venues.

The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.