Data Scientist – Customer & Agent Solutions

Job not on LinkedIn

🔥 11 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 224 days.
• No salary listed.

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Capgemini

WebsiteLinkedInAll Job Openings

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

• Develop and deploy predictive and prescriptive analytics models to support customer and agent-related business initiatives. • Apply machine learning, statistical analysis, and data mining techniques to solve complex business problems. • Analyze large datasets to uncover trends, opportunities, and actionable recommendations. • Design, build, and maintain scalable, production-ready analytical solutions. • Partner with business stakeholders to translate business objectives into analytical approaches and success metrics. • Collaborate with Data Engineering, IT, and Analytics teams on model deployment and optimization. • Utilize ML Ops best practices, version control, and code documentation standards. • Present findings and recommendations to technical and non-technical audiences. • Support customer retention, servicing, operational performance, lead optimization, and agent effectiveness initiatives. • Mentor junior team members and contribute to analytics best practices.

🎯 Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field. • 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field. • Experience with Python (4-6 years preferred). • Experience with Advanced SQL (7+ years preferred). • Experience with GitHub (1-3 years preferred). • Experience with Microsoft Office Suite (7+ years preferred). • Databricks exposure (1-3 years preferred). • Intermediate experience with Machine Learning. • Intermediate experience with Statistical Analysis, Hypothesis Testing, and Descriptive Statistics. • Experience developing and translating analytical solutions into business outcomes. • Fluent English communication skills. • Valid, local legal authorization to work in the country where the role is based at the time of hire. • Preferred: Master's degree in Data Science, Statistics, Mathematics, Analytics, or related field. • Preferred: Experience within P&C Insurance, Banking, Financial Services, or similar highly regulated industries. • Preferred: Experience supporting customer service operations or call center environments. • Preferred: Experience with call routing optimization, workforce optimization, or contact center analytics. • Preferred: Exposure to Databricks and modern cloud-based analytics platforms. • Preferred: Knowledge of ML Ops, GitHub, and model deployment lifecycle management. • Preferred: Experience developing classification and other supervised learning models.

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package: Grocery vouchers, saving funds, SGMM, etc. • Career development and training opportunities • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development

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