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Compass
Compass
H1B vizos rėmėjasNekilnojamasis turtasŽiniasklaida
Compass yra nekilnojamojo turto ir žiniasklaidos bendrovė, padedanti žmonėms orientuotis būsto rinkoje. Jos turinys ir paslaugos apima rinkos analizę, būsto pirkimą, pardavimą ir nuomą, būsto paskolas ir finansavimą, turto vertinimą, įperkamą būstą, investavimą į nekilnojamąjį turtą, būsto paruošimą pardavimui, priežiūrą ir renovaciją. Bendrovė teikia paslaugas būsto pirkėjams, pardavėjams, nuomininkams, nekilnojamojo turto agentams ir investuotojams, siūlydama praktinius vadovus ir aktualias būsto rinkos įžvalgas, padedančias priimti sprendimus visais nekilnojamojo turto gyvavimo ciklo etapais.
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Darbai įmonėje

Data Scientist

Develop analytical and AI solutions while examining HR timekeeping and workforce data. The role supports Compass UOL’s work applying artificial intelligence and generative AI to organizational challenges.

BRBrazilijaNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: portugalųDuomenų mokslininkas
AWSAzureDebesijaPythonPyTorchScikit-LearnSQLTensorFlow

Aprašymas

  • Define target groups by filtering HR records for employment type, work arrangement, organizational unit, and assignment status.
  • Retrieve working hours, absences, attendance, substitutions, and timekeeping data for specified periods.
  • Combine system configuration records to create an identifier for each employee’s work schedule.
  • Forecast daily schedules according to shift-cycle rules.
  • Clean the data and apply exclusion criteria to confirm which records qualify for analysis.
  • Reconcile expected time entries with system records and flag entries to add, amend, or block.
  • Coordinate with IT to process entries in bulk.
  • Pair clock-in and clock-out records for time-based analysis.
  • Spot unusual patterns in special work arrangements, such as recurring daytime schedules and weekends off.

Reikalavimai

  • Bachelor’s degree in a technology-related discipline.
  • Use Python for data handling, automation, and building analytical solutions.
  • Use SQL to retrieve and transform data in relational databases.
  • Apply statistical modeling and machine learning methods to analyze data.
  • Work with Scikit-learn, Streamlit, and Matplotlib or Pyplot for machine learning and visualization.
  • Use TensorFlow and PyTorch for deep learning.
  • Knowledge of NLP, generative AI, large language models, and retrieval-augmented generation (RAG).
  • Familiarity with AWS and Azure cloud services.
  • Experience using LangChain and LangGraph.
  • Experience developing chatbots.
  • Communicate and collaborate with technical teams.
  • Bridge communication between business and IT.
  • Present findings to non-technical audiences.

Privalumai

  • Remote work arrangement.
  • Candidates with disabilities are also encouraged to apply.

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