Data Scientist

🕒 May 30

🌐 Brazil, Mexico – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

💵 $1 / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 38%

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.

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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

• Help support Auto and Home Actuarial team update Base Rate Offset tool into Python • Use appropriate modeling techniques to address business needs • Develop new modeling techniques and skills using advanced modeling knowledge • Evaluate model performance • Design and publish reports to communicate results and track model performance • Develop predictor and response variable programs • Prepare internal/external, structured/unstructured data sets to build, rebuild, and refresh predictive models • Develop and maintain conceptual, logical, and physical data models for relational databases, data warehouses, and data lakes • Implement star schemas, snowflake schemas, fact tables, and dimension tables • Optimize queries, normalize/denormalize data schemas, and reduce redundancy to improve database performance

🎯 Requirements

• 2+ years of experience working as a Data Scientist • Experience performing Data Modeling with Python and SQL • Strong communication skills • Experience working with a Cloud Environment • Experience with SnowFlake (Nice to Have)

🏖️ 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