Compass
Compass
Compass ir nekustamā īpašuma un mediju uzņēmums, kas palīdz cilvēkiem orientēties mājokļu tirgū. Tā saturs un pakalpojumi aptver tirgus analīzi, mājokļa iegādi, pārdošanu un īri, hipotekāros kredītus un finansēšanu, īpašumu vērtēšanu, pieejamu mājokli, ieguldījumus nekustamajā īpašumā, mājokļa sagatavošanu pārdošanai, uzturēšanu un renovāciju. Uzņēmums apkalpo mājokļu pircējus, pārdevējus, īrniekus, nekustamā īpašuma aģentus un investorus, piedāvājot praktiskus ceļvežus un aktuālu informāciju par mājokļu tirgu, kas palīdz pieņemt lēmumus visā īpašuma dzīves ciklā.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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