Data Science

Compass

. Identify the target audience using filters in HR systems, taking into account employment relationship, work arrangement, organizational area, and assignment or secondment status .

Posted 10/10/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data manipulation and analysis using Python and SQL, alongside proficiency in machine learning techniques and cloud computing platforms. Capable of effectively communicating technical results to non-technical stakeholders while collaborating with IT teams.

Highest-signal resume keywords

Python Data ManipulationSQL Data ExtractionMachine Learning TechniquesCloud Computing (AWS, Azure)Statistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationData ExtractionStatistical ModelingMachine LearningDeep Learning FrameworksNLPGenerative AIChatbot DevelopmentData VisualizationTimekeeping Analysis

Soft Skills

CommunicationCollaborationPresentation SkillsInterface Between Business and IT

Tools & Technologies

Scikit-learnStreamlitMatplotlibTensorFlowPyTorchLangChainLangGraph

Industry Keywords

HR SystemsData CleansingShift-Cycle LogicTimekeeping RecordsAnomalous Patterns

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Identify the target audience using filters in HR systems, taking into account employment relationship, work arrangement, organizational area, and assignment or secondment status
Extract work hours, absence, attendance, substitution, and timekeeping records for the defined reference periods
Cross-reference system configuration data to build an identification key for each employee’s work schedule plan
Project work schedules day by day based on shift-cycle logic
Apply data-cleansing and exclusion rules to ensure the eligibility of the records analyzed
Compare expected entries with those registered in the system, identifying required additions, updates, and blocks
Engage the IT team to execute bulk entries
Consolidate timekeeping records into clock-in and clock-out pairs for time-based analysis
Identify anomalous patterns in special work arrangements, including recurring daytime schedules and weekends off

Requirements

What you’ll need

Bachelor’s degree in a technology-related field
Python: data manipulation, automation, and development of analytical solutions
SQL: data extraction and transformation from relational databases
Statistical modeling and machine learning techniques applied to data analysis
Machine learning and visualization libraries: Scikit-learn, Streamlit, Matplotlib/Pyplot
Deep learning frameworks: TensorFlow and PyTorch
NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation)
Cloud computing: AWS and Azure
Experience with LangChain and LangGraph
Experience building chatbots
Communication and collaboration with technical teams
Ability to act as an interface between business and IT
Presentation of results to non-technical audiences

Benefits

Comp & perks

Remote work
Position also open to candidates with disabilities