AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture
About the role Our Origination Decisions team builds the systems that decide, in real time, whether to grant a loan to an applicant and under which conditions (amount, term, interest rate). The team is small (4
Economist/Data Analyst : - Mexico City, Mexico - Research - Job Description : About The Role : Grade Level (for internal use) : 09 The Role & Impact : The Team : The Pricing and Purchasing team
DESCRIPTION : The LATAM Data Engineer is a technical contributor responsible for building and maintaining data pipelines, AI-ready data warehouses, and scalable infrastructure that powers GenAI reasoning agents and BI solutions across Amazons Mexico and Brazil Retail operations. This
Minimum qualifications : - Masters degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. - 3 years of work experience using analytics to solve product or business
DESCRIPTION : The LATAM Data Engineer is a technical contributor responsible for building and maintaining data pipelines, AI-ready data warehouses, and scalable infrastructure that powers GenAI reasoning agents and BI solutions across Amazons Mexico and Brazil Retail operations. This
Responsibilities : - This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering - Responsible for following established guidelines and identifying and
Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we
Responsibilities : - Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model
The Cyber Security Data Protection Service is responsible for driving information security throughout Ford to enable a securely connected digital business and prevent the unauthorized disclosure of the company’s most sensitive data. We continuously evaluate, assess, and address
The Data Science Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information.
The Data Science Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices.
Responsibilities : - Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis. - Mines and analyzes data from various banking platforms to drive optimization and improve data quality. -
About Us At WeWork, we provide flexible workspace solutions to help businesses of all sizes thrive in more than 37 countries worldwide. The future of work is here, and we’re not just a part of that
Essential Job Functions : - Assist in managing data science projects, including data analysis, modeling, and reporting tasks. - Collaborate with data scientists, analysts, and stakeholders on data-driven projects. - Conduct data analysis and generate insights that support decision-making. - Assist in
We are a digitally native company that helps organizations reinvent themselves and unleash their potential. Our innovative approach combines design, engineering, and scale to create cutting-edge solutions for our clients. Right now, we are looking for
Minimum qualifications : - Masters degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 4 years of experience in a Data Science role using Statistics and Machine Learning to solve product
About Fusemachines Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in
Our Company Were Hitachi Vantara, the data foundation trusted by the worlds innovators. Our resilient, high-performance data infrastructure means that customers - from banks to theme parks - can focus on achieving the incredible with data. If youve seen