Data Science
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Job Description
Data Scientist developing analytical and AI solutions for Compass UOL, a company transforming organizations with Artificial Intelligence and Generative AI. Analyzing HR timekeeping and workforce data.
Responsibilities:
- 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:
- 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:
- Remote work
- Position also open to candidates with disabilities
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