Top Data Science Jobs in Chicago, IL
Grainger is seeking an Applied Machine Learning Scientist to build innovative ML solutions in Search, Information Retrieval, Recommendations, and Conversational Product Finding. The role involves working with product managers, data scientists, engineers, and analysts to create scalable ML solutions.
Seeking a Senior Applied ML Scientist to develop cutting-edge recommendation solutions using technologies like GNNs, LLMs, and Embeddings. Responsible for designing, building, and maintaining advanced machine learning models for recommendation systems. Collaborate with teams to integrate models into platforms and contribute to strategic planning of ML initiatives.
Lead the Products & Technology Risk and Quality team within PwC's One Firm Risk Organization, focusing on technology and data risks, regulatory compliance, and risk management. Responsible for developing, interpreting, and monitoring risk management policies and facilitating client engagement teams in assessing and managing risks effectively.
Looking for a Senior Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, leading experimentations, and partnering with various teams to influence Square's global Risk roadmap. Requires 5+ years of experience, expertise in SQL, Python, and Looker, and project management skills.
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OppFi is seeking a Credit Reporting Analyst to join their Compliance department, resolving indirect and direct disputes related to credit reporting. The role involves collaborating with various teams to determine root causes of disputes and working with major credit bureaus. Ideal candidates have a Bachelor's degree, 1-2 years of experience in reviewing sensitive information, and proficiency in G-Suite and Microsoft Office. Desirable skills include knowledge of SQL, e-OSCAR system, and Metro 2 format.
Join Arity's Geospatial Data Science team to build scalable distributed machine learning models and extract innovative insights from raw GPS data. Help make transportation smarter, safer, and more useful for everyone by creating actionable insights from geospatial data.
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 a background in machine learning, model development, and data infrastructure. Responsibilities include developing predictive models, working on data analysis, and staying updated on industry trends. Position is located in Chicago, IL and is Full-time with a Hybrid-Remote work status.
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.
Lead a high-performing data science team, build scalable recommendation systems, provide strategic direction for innovative personalization experiences, advocate for data capabilities advancement, and leverage A/B testing to enhance user engagement.
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.
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