Top Data & Analytics Jobs
The Senior Data Scientist will develop and lead statistical and machine learning projects, leveraging large scale data processing. Responsibilities include analyzing datasets, developing machine learning models, conducting original analyses, and collaborating with stakeholders to provide data-driven solutions.
As a Data Scientist, you'll deploy production solutions using the Virtualitics AI platform, handle customer data, and develop AI solutions from ideation to production. You'll integrate big data frameworks and leverage your experience with machine learning.
As a Staff Data Scientist at Root, you will lead research initiatives to enhance risk segmentation and pricing strategies, manage a lead data scientist, and influence pricing model innovation. Your role involves collaborating with multiple departments, mentoring team members, and driving large-scale data science projects while pushing industry standards.
As a Lead Data Scientist in pricing, you will automate the pricing pipeline, innovate pricing models, and collaborate with various departments. You will also mentor junior team members and ensure compliance with regulations in new market expansions.
As a Data Scientist II in the pricing data science team at Root, you will refine pricing models, ensure compliance with regulatory requirements, and collaborate with cross-functional teams. You'll leverage your expertise in R and SQL to analyze and optimize pricing data, contributing to large-scale data science projects and enhancing model performance.
Featured Jobs
As a Data Analytics Intern at Gallagher, you will create data visualizations, conduct research to solve business challenges, present insights to clients, develop financial models, and assist in projects supporting sales initiatives while embracing Gallagher's culture and values.
As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
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The Staff Analytics Engineer will lead data modeling and analytics projects, collaborate with technical and non-technical stakeholders, and develop scalable data models to enhance analytics for SMBs. Responsibilities include optimizing SQL queries, establishing coding standards, and driving data initiatives to support product development.
The Strategy & Analytics Lead will drive growth by solving complex strategic problems, leading cross-functional initiatives, and providing actionable insights to Faire's leadership. This role involves analyzing metrics, developing operational processes, and enhancing the Strategy & Analytics team through coaching and improved processes.
The Staff Software Engineer will lead the Core Data Infrastructure team, designing data capabilities for product launches while maintaining data quality and security standards. Responsibilities include optimizing operational processes, collaborating with cross-functional teams, and ensuring the strategic vision of the data infrastructure is realized.
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The Data Scientist at RAPP Chicago will provide actionable insights and computational solutions to marketing challenges, analyze datasets, develop statistical models for targeting and decision-making, and collaborate with teams to communicate insights effectively.
The Analytics Enablement Engineer defines and implements analytics solutions to support measurement needs, collaborating with teams to understand business requirements. Responsibilities include discovering client data ecosystems, designing data models, developing dashboards, and ensuring data quality and integrity.
Responsible for algorithm modeling, system modeling in Supply Chain Management, demand planning and inventory optimization, collaborating with product leaders, conducting qualitative and quantitative analyses, and engaging with customers to solve complex operational problems.
Contribute to the research and productionalization of advanced analytic methods, Data Science, Artificial Intelligence, and Machine Learning capabilities for supply chain solutions. Work with a team to analyze and solve complex supply chain problems using various methods like Predictive Analytics, Forecasting, and Statistical Analysis.
Join Aperia Solutions as a Data Visualization Engineer specializing in Power BI. Design and develop reports and dashboards, gather business requirements, collaborate with data teams, and ensure data security compliance.
As a Senior Lab Scientist, you will lead research on energy technologies, focusing on carbon-based materials and batteries. You will conduct data analysis, develop statistical models, create visualizations, and manage multiple projects while providing insights to senior management on research strategies.
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