Vertem
Vertem
201 – 500 कर्मचारी
B2BSaaS
Vertem एक B2B SaaS कंपनी है जो ग्राहक, साझेदार और कर्मचारी जुड़ाव पर केंद्रित है। 2007 में स्थापित, यह लॉयल्टी, प्रोत्साहन और लाभ कार्यक्रमों के निर्माण और प्रबंधन के लिए मॉड्यूलर प्लेटफ़ॉर्म विकसित करती है। इन प्लेटफ़ॉर्मों में पुरस्कार, कैशबैक, गेमिफिकेशन, डेटा संबंधी अंतर्दृष्टि और स्वचालित अभियानों का संयोजन होता है। इसका एंटरप्राइज़ सॉफ़्टवेयर खुदरा विक्रेताओं, भुगतान प्रदाताओं और वित्तीय सेवा कंपनियों से जुड़कर जटिल मूल्य शृंखलाओं में जुड़ाव कार्यक्रमों को समर्थन देता है। Vertem की 201–500 कर्मचारियों वाली टीम ऐसे संगठनों को सेवा देती है जो स्केलेबल डिजिटल जुड़ाव उपकरणों के माध्यम से कर्मचारी और ग्राहक बनाए रखने, प्रेरणा तथा भागीदारी में सुधार करना चाहते हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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