Capgemini
10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
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 Decision Scientist
Job not on LinkedIn
🔥 11 minutes ago
Where this job comes from
Posted on Capgemini's careers page, not through a job board
First seen by Remote Rocketship 11 minutes ago
Capgemini
10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
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
• Lead complex analytical projects from understanding business challenges through solution development and recommendation presentations • Apply advanced statistical and quantitative methodologies to analyze large datasets and identify trends, patterns, correlations, and business opportunities • Conduct exploratory data analysis, hypothesis testing, experimental design, and causal inference • Build descriptive and explanatory models or leverage predictive model outputs to address business challenges • Use Python and/or R for advanced data analysis • Extract, integrate, transform, and validate data from multiple sources • Partner with business stakeholders to translate strategic objectives into analytical solutions • Communicate complex analytical findings through data visualization, presentations, and clear business recommendations • Collaborate with data scientists, data engineers, IT, and other technical teams to improve data quality and analytical processes • Support deployment and monitoring of predictive models within business workflows • Improve analytical methodologies, tools, and business processes • Share knowledge and mentor less experienced team members when needed
🎯 Requirements
• Strong knowledge of statistical analysis and quantitative methodologies • Advanced experience with Exploratory Data Analysis (EDA) • Strong understanding of experimental design and hypothesis testing • Knowledge of causal inference techniques • Experience with distribution analysis, correlation, outlier detection, multivariate analysis, time series, and machine learning concepts • Ability to interpret complex datasets and translate findings into actionable recommendations • Python and/or R for statistical programming and data analysis • SQL, preferably with Snowflake or Microsoft SQL Server • Experience with data integration, transformation, and quality validation • Excel and Power BI for data analysis and visualization • Experience in data analytics, decision science, statistics, or a related quantitative field • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field • Fluent English, both written and spoken • Demonstrated experience independently managing analytical projects and working with business stakeholders • Valid, local legal authorization to work in the country where the role is based at the time of hire • No parallel employment, professional activities, or paid work for other entities during employment • Disclosure and review of ownership, partnership, directorship, or participation in other businesses or companies
🏖️ Benefits
• Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development
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