Top Data Science Jobs

As a Data Science Consultant, you will work on data acquisition, model creation, and stakeholder presentations. You will analyze large data sets, build predictive models, collaborate with various teams, and propose solutions to business challenges.

The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.

The Senior Data Scientist at Two Six Technologies will analyze and interpret data to assist Government decision-makers and enhance IC technology investments. Responsibilities include leveraging statistical software, cloud services, and machine learning technologies to identify patterns in data, alongside an Agile team.

The Senior Revenue Analyst will manage global revenue streams, overseeing the month-end revenue close, ensuring compliance with US GAAP and ASC 606. Responsibilities include reviewing contracts, preparing journal entries, conducting revenue reconciliations, and collaborating with various teams to improve accounting processes and revenue recognition accuracy.

The Decision Science Analyst Senior role involves providing analytical support across the enterprise by leveraging mathematical and statistical techniques to solve complex business problems, synthesize data, and develop actionable recommendations for management. Responsibilities include collaborating with cross-functional teams, translating analysis into presentations, and incorporating visual techniques to communicate insights effectively.

The Credit Analyst is responsible for managing credit and collections, ensuring best practices are followed. The role involves providing customer service, analyzing customer accounts, making independent decisions on credit risks, establishing payment plans, and utilizing credit management systems. This position requires effective communication and multitasking in a fast-paced environment.

The Principal Data Scientist will develop and implement cutting-edge NLP, GenAI, and ML solutions to improve business operations. Responsibilities include formulating strategies, translating business problems into technical solutions, leading model development, and mentoring a team. Collaboration with cross-functional teams to ensure reliable and scalable AI solutions is essential.