Data Scientist

DOMVS iT

Cientista de Dados developing analytical models at DOMVS iT, contributing to strategic projects and decision-making. Must have experience in Machine Learning and data analysis.

Posted 7/16/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing and validating Machine Learning models, performing statistical analyses, and building analytical pipelines. Proficient in data manipulation, visualization, and cloud environments to support data-driven decision making.

Highest-signal resume keywords

Machine LearningData ScienceStatistical AnalysisPython ProgrammingCloud Environments

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningStatistical AnalysisPredictive ModelingFeature EngineeringModel ValidationPerformance MetricsClusteringRegressionClassificationData Manipulation

Tools & Technologies

PythonSQLScikit-LearnPandasNumPyTensorFlowPyTorchPower BITableauMatplotlib

Industry Keywords

Data-Driven Decision MakingAgile MethodologiesCloud EnvironmentsAWSAzureGCPVersion ControlGit

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Develop, train, and validate supervised and unsupervised Machine Learning models;
Perform statistical and mathematical analyses to identify patterns, trends, and opportunities;
Work with exploration, preprocessing, and modeling of large volumes of data;
Build analytical pipelines and data preparation processes;
Create predictive studies, segmentations, and recommendation models;
Support business areas in data-driven decision making;
Develop dashboards and executive presentations with analytical insights;
Monitor performance and accuracy of deployed models;
Collaborate with Data Engineering, BI, and business teams;
Ensure best practices for documentation, governance, and model versioning.

Requirements

What you’ll need

Experience in Data Science and Machine Learning;
Strong knowledge of Statistics;
Probability;
Applied Mathematics;
Predictive modeling;
Experience with languages: Python; SQL;
Experience with Machine Learning libraries and frameworks: Scikit-Learn; Pandas; NumPy; TensorFlow or PyTorch;
Knowledge of: Feature Engineering; Model validation; Performance metrics; Clustering; Regression; Classification;
Experience manipulating and analyzing large volumes of data;
Knowledge of Cloud environments: AWS; Azure or GCP;
Experience with visualization tools: Power BI; Tableau; Matplotlib;
Knowledge of version control with Git;
Experience with agile methodologies.

Benefits

Comp & perks

15 days paid leave;
Clude Saúde (online consultation platform);
Birthday day off + gift;
AWS partnership;
Language assistance;
TotalPass;
Support for specialization/certification (Postgraduate/MBA and AWS Certification);
Referral bonus;
Merit platform.