Top Principal Data Scientist Jobs in Chicago, IL

Seeking a highly skilled senior data scientist with experience in information security and anti-fraud use cases. Responsible for analyzing large data sets, developing predictive models, and implementing algorithms for fraud detection and prevention strategies.

Develop advanced algorithms, conduct statistical analysis, collaborate with clients, assess emerging technologies, contribute to thought leadership, provide mentorship, and lead projects in data analytics field.

Join PatientPoint as a Senior Data Scientist in Chicago. Work on business problems using data analysis and machine learning to help make strategic decisions. Mentor team members and contribute to improving health outcomes nationwide.

Leading the use of data to make decisions through the development and recommendation of new machine learning predictive modeling algorithms, coding tools, integrating new data, and discovering new business problems that can be solved through machine learning. Responsible for mentoring junior data scientists and managing projects of medium to high complexity.

Data Science Manager focused on building customer management valuation models, applying advanced machine learning solutions, and communicating with senior stakeholders. Requires strong software engineering skills, proficiency in various machine learning algorithms, and experience in open source programming languages and relational databases.

The Lead Data Scientist at Caterpillar Inc. will be responsible for directing data gathering and processing, defining data analysis requirements, conducting research on data models, coaching junior data scientists, and applying analytical techniques to solve business problems.

The Data Engineer II contributes to expanding and optimizing data and data pipeline architecture, optimizing data flow for cross-functional teams, engaging in data mapping, data pipelines, data modeling, and data consumption. Responsibilities include solving application errors, developing data transformation and pipelines, creating BI datasets, conducting data analysis, and documenting reporting requirements.

As a Senior Data Engineer on our Research Data Management team at DRW, you will play a key role in managing datasets for analyzing financial markets, establishing trading strategies, and optimizing trading opportunities. Responsibilities include governing data storage, collaborating with traders/researchers, designing data solutions/tools, and ensuring data quality.

Looking for a Senior Staff Data Engineer to design and develop data pipelines and products on the Customer Information Management team. Responsibilities include enabling analytics, implementing data pipelines, designing data models, evaluating emerging technologies, and collaborating with stakeholders. Must have 10 years of experience in Modern Data Engineering projects, 5+ years in cloud-native solutions, and at least 3 years with specific technologies like AWS, Snowflake, DBT, etc.

Seeking a Senior Data Engineer to design, develop, and maintain data sourcing, ingestion, and transformation solutions for reporting & analytics, data science, and other applications. Responsibilities include leading data pipelines development, automation pipelines, documentation, knowledge-sharing, and mentoring junior developers. Required qualifications include a Bachelor's degree in computer science, 5+ years of experience in data pipelines, expertise in Databricks and Python, and strong communication skills.

The Data Modeler - Lead at Caterpillar Inc. will lead teams in data quality, design, metadata management, and governance. They will be responsible for creating data management strategies, ensuring compliance with data standards, and designing scalable databases and ETL solutions.

The Manager, Data Scientist role at Capital One involves training and customizing large language models, partnering with cross-functional teams, leveraging a broad stack of technologies, building machine learning models, and contributing research to top-tier NLP conferences.

Lead Data Engineer responsible for expanding and optimizing data architecture, data pipelines, and data flow for cross functional teams. Will drive data initiatives and ensure consistent data delivery architecture throughout projects. Must be self-directed and support multiple teams, systems, and products. Will work on complex data issues and optimize company's data architecture for future products and initiatives.

Lead the development of clinical data models, reports, automation pipelines, and integration of data for clinical evidence and biomarker discovery studies in the healthcare industry. Serve as the data steward and partner with cross-functional teams to develop data products.

Seeking a Senior Data Engineer to design and implement technical solutions for data reliability and accuracy, build pipelines, develop data models, collaborate with stakeholders, and ensure scalability of data processing pipelines. Must have experience with Spark, Python, Scala, Snowflake, Databricks, containerization technologies, machine learning, CI/CD, AWS services, and data quality functions.

Lead data science projects from development to execution, collaborate with data scientists, advise on tools and best practices, build predictive models, document processes, and communicate findings to business leaders.

As a Data Scientist at Capital One's Model Risk Office, you will partner with a cross-functional team to identify and quantify risks associated with models, leverage various technologies to reveal insights within data, build statistical/machine learning models, and contribute to model governance. The ideal candidate is innovative, creative, technically proficient, statistically-minded, and a data guru. Basic qualifications include a Bachelor's Degree with 5 years of experience or a Master's Degree with 3 years of experience in data analytics.