Top Data & Analytics Jobs

The Trade Compliance Operations Analyst is responsible for screening orders, conducting end user and end use screenings, classifying products, maintaining CCATS files, providing training on compliance laws, and assisting with daily import compliance matters. The role requires extensive knowledge of U.S. regulations regarding import/export and involves collaboration with various business units.

The AI scientist will modify and fine-tune large language models to improve human interaction, enable external tool calling, manage model alignment based on deployment feedback, and engage in model pre-training. Strong expertise in generative AI and MLOps is essential, along with proficiency in AI frameworks like TensorFlow and PyTorch.

The Research Associate will conduct laboratory experiments, process samples, maintain meticulous records, analyze data, and participate in project planning under the guidance of experienced team members. They will support assay development and collaborate within a rapidly changing environment, contributing to advancements in precision cancer care therapy.

The Technical Strategic Communications Analyst will assist with strategic communications and project management, focusing on data mapping and AI integration. Responsibilities include developing communication materials, supporting data management tasks, and collaborating with technical teams to ensure project success.

As a Principal Scientist at KCAS, you will lead bioanalytical studies, mentoring staff, overseeing laboratory operations, analyzing data, and ensuring scientific accuracy. You will communicate effectively with sponsors, prepare high-quality reports, and evaluate new technologies while promoting team productivity and technical excellence.

The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.