Associate Data Scientist

Capgemini

. Apply analytics and modeling techniques to improve business results .

Posted 10/15/2026full-timeRemote • Brazil, MexicoJuniorMid-Level💰 R$1 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and analytics, utilizing programming and modeling techniques to drive business results. Proficient in deploying models and communicating complex data insights to diverse audiences.

Highest-signal resume keywords

Data Science ExperienceModeling Experience Using PythonSQL ProficiencyConsumer Analytics ApplicationMLOps Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsModeling TechniquesMachine LearningData MiningETL MethodsRetention ModelsLead OptimizationMultivariate ModelsPython LibrariesStatistical Analysis

Soft Skills

Communication SkillsPresentation DevelopmentCollaboration

Industry Keywords

Business AnalyticsData Science Best PracticesAgency EconomicsBusiness Operations

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Apply analytics and modeling techniques to improve business results
Leverage customer information and behavioral data to influence strategic business decisions
Use analytics, multivariate models, machine learning, and data mining technologies
Learn business operations and data science best practices with guidance from senior roles
Apply consumer analytics including retention models, agency economics, and lead optimization
Use programming, ETL, and modeling methods to execute projects
Execute low-complexity business challenges involving data science
Complete projects within prescribed timelines
Execute routine projects with urgency
Contribute to presentation development
Communicate complex technical material to non-technical associates
Execute basic to intermediate model deployments using established MLOps techniques
Work with analytics and IT teams to deploy models and rules

Requirements

What you’ll need

Master's degree highly preferred in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field
Bachelor's degree may be considered with relevant internship, project, research, or professional experience demonstrating strong data science and analytics capabilities
Minimum 1 year of data science experience
Modeling experience using Python and Python libraries
Experience with SQL
Valid, local legal authorization to work in the country where the role is based
Data analytics or similar internship preferred

Benefits

Comp & perks

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
Personal data processing in accordance with applicable data protection and privacy laws and FBS internal policies
Employment conditional upon valid, local legal authorization to work in the country where the role is based
No parallel employment, professional activities, or paid work for other entities during employment
Ownership, partnership, directorship, or participation in other businesses must be disclosed and reviewed under conflict-of-interest policies