Top Remote Data Science Jobs in Chicago, IL

As a Director in the One Firm Risk Organization at PwC, you will lead a team that manages internal and external risk policies, compliance, and quality management. You'll analyze marketplace trends, support team development, and uphold the firm's ethical standards. The role requires strong technology knowledge and critical thinking skills to manage risks and create value propositions for stakeholders.

The Senior Director of Data Science will lead and develop the data science team, driving initiatives to leverage data for drug development efficiency and success. Responsibilities include mentoring team members, executing strategies for data utilization, providing technical guidance, ensuring data governance, managing projects, and fostering cross-functional collaboration.

The Research Scientist, Personal Loans role involves deploying and training machine learning models in a fast-paced environment. You will work within a team that values curiosity and teamwork, focusing on building models that evaluate applicant risk for personal loans and contribute to the company's success.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

The Sr. Data Scientist at Empower is responsible for the entire model development process, including creating and enhancing credit risk models, partnering with various teams to implement solutions, and driving business growth through data-driven insights.

As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.

As a Staff Data Scientist at Kyruus Health, you will leverage advanced data science techniques to produce insights that help healthcare customers make crucial decisions. Your role includes identifying business opportunities, deploying machine learning models, collaborating with engineers, and promoting best practices within the data science team.