Senior Data Scientist

Runtalent

Cientista de dados Sênior no setor de varejo, focado em modelagem estatística e manipulação de dados. Trabalhando remotamente e colaborando com equipes de Data Science e Engenharia de Dados.

Posted 7/7/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data validation and model evaluation pipelines in cloud environments, particularly AWS. Proficient in data handling, statistical modeling, and integrating automated workflows while ensuring best practices in version control and monitoring.

Highest-signal resume keywords

Data HandlingStatistical ModelingAWS ServicesVersion ControlData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLPySparkData ValidationModel EvaluationStatistical ModelingData ArchitectureAutomated TestingAnalytical ThinkingOptimization Problems

Soft Skills

CommunicationTeam CollaborationProblem Solving

Tools & Technologies

GitMongoDBOracle RetailAWSOpenShiftDockerKubernetesDatadogDynatraceCloudWatch

Industry Keywords

Retail SystemsE-commerce IntegrationEvent-Driven ArchitectureAgile Methodologies

Tech Stack

Tools & technologies

AWSCloudDockerKubernetesMongoDBOpenShiftOraclePySparkPythonSQL

About the role

Key responsibilities & impact

Design and implement data validation and model evaluation pipelines in a cloud environment (AWS).
Integrate data and evaluation metrics into an automated, auditable workflow.
Modularize the pipeline to facilitate reuse, testing, and maintenance.
Collaborate with Data Science, Data Engineering, and Product teams.
Ensure best practices for version control, logging, monitoring, and automated testing.
Propose continuous improvements to data architecture and validation processes.

Requirements

What you’ll need

Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, or a related field.
Experience in data handling and statistical modeling (Python, SQL, PySpark).
Experience with Git and version control.
Strong experience in data science.
Analytical thinking and ability to solve complex data-related problems.
Good communication skills and ability to work in a team.
Preferred: Experience with retail systems, especially inventory, reservation/locking, availability processes, and e-commerce integration.
Preferred: Knowledge of Oracle Retail, RMS, or legacy back-end systems.
Preferred: Experience handling high-volume data in MongoDB.
Preferred: Experience with AWS, OpenShift, Docker, or Kubernetes.
Preferred: Knowledge of event-driven architecture.
Preferred: Experience with batch processes, workers, queues, and message reprocessing.
Preferred: Knowledge of monitoring tools such as Datadog, Dynatrace, CloudWatch, or similar.
Preferred: Experience with Agile methodologies.
Preferred: Experience with AWS services (Glue, S3, SageMaker, Lambda, etc.).
Preferred: Experience with optimization problems.

Benefits

Comp & perks

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