Top Remote 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.
As a Decision Scientist at Cash App, apply data-driven techniques to identify opportunities, participate in project definition, and impact business strategy outcomes. Responsible for implementing customer-facing decisions and risk controls using statistical modeling and A/B experimentation. Collaborate with ML teams to inform model evaluations and create offline ML models for decision making. Embedded in the Risk (Cash Card ML) team focusing on automating policies for Cash Card disputes and other transaction types.
Lead workstreams for module deployments in Workday HCM, optimize projects, serve as an advisor, build consensus, communicate capabilities, configure applications, interact with client experts, collaborate with resources.
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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.
The Reporting Analyst at Inspira Financial is responsible for building business intelligence through the creation of business insights using technical knowledge. They will create foundational reports and knowledge for business purposes, extract data from back-end databases, create clear reports, and help business users understand the data. The ideal candidate will have a strong understanding of data warehouse structures, SQL, and Business Objects reporting platforms.
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.
Passionate Data Reporting Engineer needed at VideoAmp to work with BI tools such as Sigma, Tableau, and Looker and tell compelling data stories to non-technical clients. Experience in structuring big data, working with SQL and Python, and collaborating on SaaS solutions in AdTech ecosystem.
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.
The Senior Data Operations Specialist at ServiceNow plays a significant role in evolving data services and capabilities for AI and Machine Learning solutions, providing support to engineering teams, and ensuring superior service in handling customer datasets.
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