Top Hybrid Data Science Jobs

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.

As a Credit Analyst II, your primary responsibilities include analyzing financial documents to evaluate the creditworthiness of loan applicants, preparing credit reports, making underwriting recommendations, and collaborating with colleagues to communicate decisions and address inquiries.

As a Credit Analyst I at Mulligan Funding, you'll evaluate the creditworthiness of commercial loan applicants by analyzing financial documents and credit reports. Collaborating with colleagues, you'll help summarize underwriting recommendations and communicate decisions to applicants while enhancing your skills in risk assessment and financial analysis.

The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.

The Production and Data Specialist will oversee cultivation processes, manage inventory and sales data accuracy, generate reports for leadership, and support sales teams in customer account management. The role involves interdisciplinary collaboration to improve data management systems and processes regarding cannabis production and sales.