Data Scientist Consultant

Job not on LinkedIn

🔥 50 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Atento

Atento

89377 - 89377 employees

Founded 1999

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Post-IPO Equity on 2023-02

Consulting • Healthcare • Logistics

Atento is a leading provider of Business Transformation Outsourcing (BTO) services, elevating the traditional Business Process Outsourcing (BPO) model by implementing strategic, enterprise-wide changes to enhance clients' performance and competitiveness. The company guides clients through the full cycle of customer experience transformation, offering innovative, outcome-based business models that maximize business value while optimizing Total Cost of Ownership (TCO). Atento operates across a diverse range of sectors, including financial services, telecom, retail, utilities, healthcare, automotive, media, travel and hospitality, and education. Its solutions encompass customer engagement, analytics, automation, AI/Cognitive technologies, and cybersecurity, leveraging methodologies such as Lean Six Sigma and design thinking for efficiency and user-centricity.

📋 Description

• Analyze large and complex volumes of data using Python, R and Big Data platforms (Spark, Databricks), applying advanced Machine Learning, NLP and Generative AI techniques. • Develop interactive dashboards and reports to support strategic decisions, using tools like Power BI or similar. • Design, validate and deploy predictive models and advanced ML algorithms, including Deep Learning and Generative AI applications, to address challenges such as: demand forecasting, anomaly detection, process automation, and customer experience personalization. • Integrate models into production environments using MLOps frameworks, ensuring scalability, reliability and efficiency. • Collaborate with Engineering, Product, Conversational UX and Data teams, translating business needs into analytics- and AI-driven solutions. • Apply Conversational AI techniques, semantic analysis and NLP to extract insights from unstructured and textual data. • Use data augmentation, including LLM-based approaches, to enrich training data and improve model performance.

🎯 Requirements

• Solid experience with advanced analytics, Machine Learning and statistical modeling. • Hands-on experience with NLP, Conversational AI and Generative AI, including flows based on Large Language Models (LLMs). • Experience developing and deploying predictive models in production at scale. • Advanced Python (required). • Knowledge of Big Data and distributed processing (Spark, Databricks). • Experience with MLOps practices such as versioning, monitoring, deployment pipelines and performance tracking. • Product-oriented mindset, with the ability to connect data analyses to real business impact and user experience. • Ability to translate complex technical concepts into clear insights for technical and non-technical audiences.

🏖️ Benefits

• Work model: Remote • Working hours: 9:00 AM to 6:00 PM

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