Top Senior Level Data & Analytics Jobs in Chicago, IL
Join Square as a Senior Data Scientist in the Payment Risk team. Use advanced statistical techniques to improve risk controls, prevent fraud, and influence product roadmaps. Develop data pipelines, ETLs, and machine learning solutions to protect sellers from bad actors. Collaborate with cross-functional teams to drive innovative risk solutions and enhance the seller experience. Ideal for experienced professionals with a strong background in statistics and machine learning.
Lead centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams. Architect Square's Data strategy, drive technical roadmap, establish data governance principles, enhance product innovation, deliver impactful insights, attract and develop top-tier data team.
As a Senior Data Scientist in the Food & Beverage team at Square, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making for product development and customer experience. You will lead efforts in defining metrics, providing insights to sellers, and collaborating with cross-functional partners to drive strategic decisions.
Design and maintain databases, participate in systems development projects, monitor and tune database performance, provide support in database analysis and modeling, develop maintenance procedures, participate in disaster recovery drills, provide primary on-call support, recommend new DBMS standards, support business studies, and prepare system documentation.
Join Square's Risk Data Science and Analytics Team as a Senior Data Scientist to improve risk controls through statistical and analytical techniques, prevent fraud, and impact key success metrics with machine learning solutions. Collaborate with various teams to develop data-driven solutions and influence product roadmaps.
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Senior Manager position in Cybersecurity and Privacy at PwC, focusing on information governance to help clients protect their business and manage electronic data. Responsibilities include leading strategic programs, data analytics, and technical implementation activities. Requires 5 years of experience and Bachelor's degree.
Join our world-class Data Science team at Atlassian to drive insights about products and customers. Collaborate with cross-functional partners, apply technical expertise in quantitative analysis, and shape product development. Required qualifications include 8+ years of experience, proficiency in SQL and Python/R, expertise in storytelling with data, and proven impact on business strategy through analytics.
Lead Data Solution Architects for various worksites throughout the US, combining digital and marketing analytics knowledge to deliver analytic reporting to clients. Responsibilities include data analysis, visualization design, software utility creation, and more.
As a Senior Security Analyst at GoHealth, you will be responsible for conducting comprehensive security reviews on various business projects, implementing security methodologies, and ensuring compliance with regulatory standards. You will collaborate with internal teams to address security concerns and provide training on security best practices.
Leading a team of data and infrastructure engineers in the overall delivery of data solutions for advanced data science and analytics. Working on transforming transportation by analyzing massive data sets and collaborating with diverse product teams to create innovative products.
Responsible for execution of data risk management vision, leading a team specialized in reviewing data management controls, and ensuring compliance with policies/standards. Manages, coaches, and develops team members, partners with business and technology to address data risk, and executes corporate risk initiatives.
Build and be responsible for forecasting Chime’s member funnel, implementing new forecasting processes, scenario planning, and analyzing financial KPIs. Collaborate with various teams and partners to drive business decisions based on data insights.
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