Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
Senior Associate Data Scientist
October 31
Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
📋 Description
• The team member utilizes working knowledge and experience to apply analytics and modeling techniques to improve business results. • Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies. • Assists in projects operationalizing business decisions while receiving moderate guidance and direction from more senior roles. • Executes on standard business challenges involving data science. • Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. • Executes on routine projects with a sense of urgency. • Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. • Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills. • Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure. • Advises on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture. • Contributes to development of presentations and presents to leadership. • Occasionally communicates complex technical material understandable to non-technical associates. • Executes basic to intermediate model deployments via established MLOps techniques. • Works with analytics and IT teams to deploy models/rules.
🎯 Requirements
• English Proficiency - Minimum Required: Fluent • Required Education - Minimum Required: Bachelor • Other Critical Skills • - Working with large-scale structured and unstructured multidimensional data - Advanced • - Techniques such as hypothesis testing, clustering analysis and other statistical tools - Advanced • - Predictive modeling - Advanced • - ML/AI deployment practicies - Entry Level • Software / Tool Skills • - Microsoft office suite - Advanced • - SQL - Advanced • - Python - Entry Level • - SAS - Entry Level • - Cloud data mgt tools like Snowflake - Entry Level • - Expertise in R - Intermediate
🏖️ Benefits
• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote) • Dynamic and inclusive work culture within a globally renowned group • Private Health and Dental Insurance • Pension Plan • Meals tickets • Life Insurance
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