Data Scientist

S4 Capital Group

. Conduct descriptive and exploratory analyses to understand patterns and trends .

Posted 11/4/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and predictive modeling using Python and R, with a strong ability to present actionable insights through dashboards and reports. Proficient in utilizing Google BigQuery and AWS for data management and implementing machine learning algorithms for business solutions.

Highest-signal resume keywords

Data AnalysisPredictive ModelingMachine Learning AlgorithmsGoogle BigQueryPython

ATS Keywords

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Hard Skills

Data ExtractionStatistical AnalysisForecastingClassificationSentiment AnalysisCorrelationCausalityDescriptive StatisticsStatistical ModelsDashboard Creation

Soft Skills

Clear CommunicationStakeholder Engagement

Tools & Technologies

Google AdsFacebookGoogle AnalyticsBing AdsGoogle Data StudioLooker StudioAWS

Tech Stack

Tools & technologies

AWSBigQueryPython

About the role

Key responsibilities & impact

Conduct descriptive and exploratory analyses to understand patterns and trends
Identify opportunities for improvement based on collected data
Interpret complex data and present actionable insights
Implement solutions in database environments, including BigQuery and AWS
Develop predictive models to forecast sales trends, customer behavior, and product demand
Evaluate and fine-tune the accuracy and performance of existing models
Use machine learning algorithms for product recommendations, dynamic pricing optimization, and data-driven implementations
Create and maintain dashboards
Present insights clearly and confidently to a variety of stakeholders

Requirements

What you’ll need

Extract data from platforms such as Google Ads, Facebook, Google Analytics, and Bing Ads
Analyze statistics using Python and R, including forecasting, classification, sentiment analysis, correlation, and causality
Present results through automated reports and dashboards
Integrate database processing
Understand the client's business context and extract the required information
Use Google BigQuery for querying and storing data
Use Google Data Studio as the primary data presentation tool
Preferred qualifications: Python, advanced BigQuery, descriptive statistics, statistical models, and Looker Studio

Benefits

Comp & perks

Flexible meal and food allowance card
Health insurance
Dental insurance
Flexible working hours and location
Home office allowance paid through payroll, regardless of whether the work arrangement is hybrid or fully remote
Monthly childcare allowance for employees with children up to 5 years and 11 months old
Access to various gyms through partner platforms
Birthday day off with no salary deduction
180-day parental leave for birthing parents
30-day parental leave for non-birthing parents
Additional support for caregivers of children with disabilities or neurodivergence
Physical and emotional health and well-being platforms
Free consulting in social and psychological assistance, legal guidance, and financial consulting
Reduced electricity bill costs through renewable energy sources
Free SESC membership card
Partnerships with educational institutions
Support from the Talent Development team for learning and professional development
Community groups for connection and experience sharing