Top Data Science Jobs

The Research Scientist I will perform bench experiments using various molecular biology and laboratory techniques, assist in data analysis, contribute to team objectives, and maintain laboratory equipment.

The Scientist I will conduct laboratory work independently, focusing on material synthesis, characterization, and applications testing. Responsibilities include improving test methods, maintaining laboratory equipment, ensuring compliance with standard operating procedures, and performing project work to meet performance goals in the TiO2 pigment markets.

Serve as a facilitator between the customer and the company, conducting research, analysis, and developing new product concepts. Support technical development and new product development for various markets. Present work at conferences and manage laboratory operations efficiently.

The Staff Research Scientist will focus on the pathophysiology of neurological and psychiatric disorders, conducting advanced electrophysiological experiments and data analysis. The role requires independence in experimental design, strong technical skills, and effective communication, while collaborating with a team to generate informative research data.

The Research Scientist position is responsible for developing new materials and processes to enhance product offerings, assisting in problem-solving related to production, analyzing patents, managing project teams, and ensuring product launches are smooth. The role also involves maintaining project documentation and collaborating with various disciplines within the company.

The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.

The Senior Revenue Analyst is responsible for revenue close cycle accuracy, revenue reporting, compliance with audit controls, and process standardization. They participate in enterprise initiatives and collaborate across departments to drive project resolutions and understand revenue recognition for new offerings.