Data Scientist

🕒 August 4

🌐 Brazil, Mexico – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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, deploy, and maintain predictive and Machine Learning models • Collaborate with stakeholders to identify business challenges and recommend data-driven solutions • Support Customer Retention, Customer Routing, and Customer Experience optimization initiatives • Enhance forecasting capabilities for Contact Center operations • Identify, assess, and leverage relevant data sources to improve business outcomes • Communicate findings, recommendations, and insights to technical and non-technical audiences • Drive measurable business impact through advanced analytics and data science solutions • Identify high-impact business problems and opportunities within the first six months • Deliver predictive models and analytical solutions that generate measurable business value • Establish strong partnerships with key stakeholders • Improve forecasting accuracy and support strategic decision-making through data-driven insights

🎯 Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field • Strong experience with SQL and data analysis on large, complex datasets • Strong proficiency in Python for data science and model development • Experience developing and implementing predictive models and Machine Learning solutions • Knowledge of supervised learning techniques and classification models • Experience with forecasting methodologies and predictive analytics • Ability to translate business problems into analytical solutions • Strong communication skills and experience managing stakeholder relationships • Machine Learning (Supervised & Unsupervised) - Intermediate • Communication skills - Advanced • Problem Solving - Advanced • Descriptive Statistics - Intermediate • Hypothesis Testing - Intermediate • Python - Intermediate • SQL - Advanced • Databricks • Microsoft Suite • Github • 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 formal review of ownership, partnership, directorship, or participation in other businesses or companies

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development