Data Scientist Consultant

Atento

Data Scientist Consultant analyzing conversational and operational data for business insights using advanced ML techniques. Accountability to transform operational signals into actionable metrics and insights.

Posted 7/30/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, Machine Learning, and NLP, with a strong focus on developing and deploying predictive models using Python and Big Data technologies. Proven ability to translate complex data insights into actionable business strategies and enhance user experience through AI-driven solutions.

Highest-signal resume keywords

Advanced PythonMachine LearningNLPMLOps PracticesBig Data (Spark, Databricks)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingPredictive ModelingDeep LearningGenerative AIData AugmentationConversational AISemantic AnalysisAdvanced AnalyticsData Analysis

Soft Skills

Product-Oriented MindsetCommunication Skills

Tools & Technologies

Power BISparkDatabricksMLOps Frameworks

Industry Keywords

Big DataData InsightsUser ExperienceAnomaly DetectionProcess AutomationDemand Forecasting

Tech Stack

Tools & technologies

PythonSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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