Top Hybrid Data Science Jobs in Chicago, IL
Lead Data Scientist responsible for applying innovative data science techniques to advance business objectives and transform priority opportunities into incremental business value. Collaborate with business partners to design, develop, and deploy advanced analytics solutions using statistical and machine learning methods. Direct activities of data scientists and ensure quality and consistency of solutions. Minimum qualifications include a Master's degree in data science or related field and 5+ years of relevant work experience.
The IT Business Analysis, Sr Specialist is responsible for formulating and defining system scope and objectives based on user needs and business requirements. They lead project teams, collaborate with stakeholders, and develop strategies for project deliverables. The position requires a solid understanding of the insurance industry, business operations, and system development life cycle. This is a hybrid position located in Chicago, IL.
The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.
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The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.
Seeking a Lead Data Scientist to transform data into actionable insights within the Rental team of Cat Digital, leading a team of data scientists, collaborating with cross-functional teams, and developing and implementing innovative data-driven solutions.
Seeking a skilled Data Scientist with 1-5 years of experience in data science, analytics engineering, machine learning engineering. Responsibilities include developing predictive models, working on data products using Python and SQL, and staying updated on industry trends in data science and fintech.
Seeking a Senior Analyst to join the CMBS team at Morningstar DBRS, responsible for rating and monitoring commercial mortgage-backed securities. Duties include conducting market research, financial analysis, site inspections, composing reports, and providing credit analysis. Requirements include 3 years of experience in commercial real estate finance, a degree in finance or related field, proficiency in Excel, analytical skills, and attention to detail.
The Senior Data Science Analyst at Discover will work closely with management to execute analytical initiatives, solve business problems using advanced analytics and machine learning techniques, and create reports and dashboards to monitor performance metrics. Responsibilities include developing advanced analytics solutions, collaborating with cross-functional partners, and establishing effective performance tracking. Qualifications include a Bachelor's Degree in Analytics or related field and 2+ years of experience in data science.
Seeking a Data Scientist II to work on expanding Voice and Speech Analytics technology applications. Responsibilities include data analysis, machine learning model building, and researching industry-related topics.
Seeking a Senior Data Scientist to build algorithms that power data products, leveraging machine learning tools and big data frameworks. Responsible for developing orchestrated pipelines and staying current with the latest research in machine learning. Requires 7 years of professional experience and strong communication skills.
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