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Vertem
Vertem
201 – 500 Angajați
B2BSaaS
Vertem este o companie B2B SaaS axată pe implicarea clienților, partenerilor și angajaților. Înființată în 2007, compania dezvoltă platforme modulare pentru crearea și administrarea programelor de loialitate, stimulente și beneficii, combinând recompense, cashback, gamificare, informații bazate pe date și campanii automatizate. Software-ul său pentru companii se conectează la comercianți, furnizori de servicii de plată și servicii financiare pentru a sprijini programe de implicare în lanțuri valorice complexe. Echipa Vertem, formată din 201–500 de angajați, deservește organizații care doresc să îmbunătățească retenția, motivația și participarea prin instrumente digitale scalabile de implicare.
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Locurile de muncă ale companiei

Senior Data Scientist at Vertem - Hybrid in Brazil

Senior Data Scientist developing machine learning models with Databricks and AWS. Build analytical solutions for Vertem, a company focused on engagement, loyalty, and benefits.

BRBraziliaHibridNormă întreagăSeniorLimbă Obligatorie: portughezăSpecialist în știința datelor
AWSPythonScikit-Learn

Descriere

  • Develop, train, and validate machine learning models for practical business challenges
  • Analyze large datasets stored in the company’s AWS Data Lake
  • Use Databricks for model experimentation, training, and production deployment
  • Create data pipelines and workflows for model training
  • Apply Databricks AutoML to accelerate experimentation and model development
  • Carry out feature engineering and prepare data for analytical modeling
  • Deploy and maintain production machine learning models and scoring workflows
  • Track model performance, identify degradation, and determine when retraining is needed
  • Partner with data engineering, BI, and data product teams
  • Help advance the company’s intelligence platform

Cerințe

  • Hands-on experience with Databricks
  • Experience developing supervised and unsupervised machine learning models
  • Knowledge of Databricks AutoML
  • Experience deploying machine learning models in production
  • Understanding of model scoring and inference pipelines
  • Experience with feature engineering and preparing data for analytical models
  • Proficiency in Python for data science
  • Experience with scikit-learn, XGBoost, and LightGBM
  • Experience handling data in Data Lake and Big Data environments
  • Preferred: experience with MLflow
  • Preferred: experience monitoring and governing machine learning models
  • Preferred: experience with recommendation, segmentation, or propensity modeling
  • Preferred: experience with AWS data environments
  • Preferred: experience delivering advanced analytics projects and data products

Beneficii

  • Hybrid schedule with 2 days working remotely and 3 days onsite
  • Day off on your birthday
  • Flexible working hours
  • SulAmérica health and dental insurance
  • SulAmérica life insurance
  • Psychological support
  • On-site massage service
  • Relaxation room
  • TotalPass access to gyms and physical activities
  • Flexible meal or food allowance of BRL 41.91 per day
  • Childcare allowance for children up to 5 years old
  • Transportation allowance, parking, or company shuttle
  • Qulture.Rocks performance and development management platform
  • Education allowance available after 12 months with the company
  • Inspiring and disruptive workplace culture
  • Newborn kit
  • Internal events and engagement initiatives
  • Exclusive benefits for commemorative dates

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