Top Data Science Jobs in Chicago, IL
As a Data and Analytics Senior Consultant, you will lead transformational change by designing and executing data and analytics strategies, collaborating with customers to address business challenges, and contributing to the growth of the consulting practice through exceptional service and business development.
As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
The SBA Credit Analyst II evaluates and underwrites SBA loan applications to assess creditworthiness and compliance with regulations. They analyze customer financial data, communicate with borrowers, document loan decisions, and assist with portfolio management duties. This position requires strong communication skills and the ability to work under pressure while maintaining knowledge of Busey lending policies.
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The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
As a Senior Data Scientist at IHI Terrasun, you will collaborate with design and engineering teams, research statistical models for data analysis, implement analytics for insights, automate data collection, and communicate complex data effectively. Your role is crucial in supporting innovative data-driven business processes.
The Sr. Analyst of Profit Revenue Growth Management at Feastables will drive pricing strategy and revenue growth through data analysis. Responsibilities include performing pricing elasticity analysis, forecasting, optimizing trade spend, managing operating plans, and creating data visualizations. The role emphasizes strategic planning and market research to influence competitive pricing and enhance profitability.
The Revenue Cycle Data Analyst is responsible for creating reports, designing analytical dashboards, analyzing data for metrics, and collaborating with teams for financial reporting. The role requires solid understanding of revenue cycle management processes and entails attending meetings to present findings.
The Photonics Research Scientist will initiate and drive research projects in photonic technologies, develop optical devices and circuits, conduct theoretical studies, and collaborate with engineers. Responsibilities include managing R&D timelines, modeling components, and disseminating research results through publications and prototypes.
As a Sr. Analytical Scientist, you will lead the development and optimization of analytical methods for Cell and Gene Therapy programs, collaborating with various teams and partners. Responsibilities include data interpretation, project planning, training junior staff, and ensuring compliance with GMP standards.
As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.
The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.
As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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