Globant - Data Scientist - Google Cloud Platform

: We are looking for a Data Scientist with strong expertise in Machine Learning, Statistical Modeling, and Google Cloud Platform. The candidate will be responsible for developing advanced analytics solutions, building AI/ML models, and supporting conversational AI initiatives using GCP-native technologies.

& Experience : Data Science & Machine Learning : - Strong foundation in statistical analysis and predictive modeling.- Hands-on experience with machine learning algorithms, including decision trees, neural networks, and other commonly used supervised and unsupervised learning techniques.- Expertise in data wrangling, preprocessing, feature engineering, and model development.- Experience in experimentation frameworks and A/B testing methodologies.- Ability to build, evaluate, and optimize machine learning models for business applications.- Experience with data visualization and communicating insights to stakeholders.Programming : - Strong programming skills in Python and/or R.- Experience developing scalable data science solutions and analytical workflows.NLP & Conversational AI : - Experience in Natural Language Processing (NLP).- Hands-on experience developing conversational AI solutions and chatbots.- Understanding of language models and conversational workflows.- Experience with LangChain and ADK frameworks.Google Cloud Platform (Mandatory) : - Minimum 3 years of hands-on experience working with GCP services, including : Vertex AI, Google BigQuery, Vertex AI Notebooks, Vertex AI Workbench, Google Cloud Dataflow, Google Cloud Functions, Google Cloud Storage (GCS), Google Cloud AutoML, Google Cloud Pub/Sub, Google Cloud Natural Language API, and Google AI Platform.DevOps & Deployment : - Exposure to GitOps practices for model deployment and lifecycle management.Additional Platform Exposure : - Experience working with CCAI (Customer Engagement Suite) and Conversational AI implementations on Google Cloud.Must-Have Skills : Core Platform Expertise : - Strong hands-on experience with Google Cloud Platform, specifically Dialogflow CX and CX Agent Studio.Conversational AI Development : - Strong understanding of NLU concepts, including : Intents, Entities, Parameters, Context management, and State management across conversational flows.Backend Development : - Proficiency in Python for building webhooks and implementing server-side business logic.- Experience developing and deploying Google Cloud Functions.API Integration : - Experience designing, integrating, and consuming RESTful APIs.- Strong understanding of JSON-based data exchange and API-driven integrations.Prompt Engineering : - Ability to design, refine, and optimize prompts and system instructions.- Understanding of grounding techniques, response control, safety considerations, and conversational behavior management.Good-to-Have Skills : - Experience with vector search technologies and embedding-based retrieval systems.- Familiarity with vector databases and Datastores.- Understanding of Contact Center AI (CCAI) architecture.- Experience integrating conversational platforms with telephony providers such as Genesys, Avaya, or Twilio.- Basic understanding of frontend integrations for embedding conversational agents into web or mobile applications.- Experience using BigQuery to analyze conversation logs, user interactions, and agent performance metrics.- Exposure to multilingual conversational AI solutions and localization frameworks. (ref: hirist.tech)