Data Scientist – GenAI, LLMs

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  La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los solicitantes.
  
• Manage and execute key analytical projects within the DATA area, aligning with strategic objectives
  
• Lead analytical teams to ensure successful project delivery
  
• Analyze large and complex datasets to uncover trends and insights that drive business decisions
  
• Develop predictive and generative models using statistical, machine learning, and LLM techniques
  
• Evaluate, fine-tune, and optimize LLM models for domain-specific applications
  
• Integrate LLMs into analytical solutions
  
• Lead iterative development of LLM-based solutions
  
• Construct knowledge bases, datasets, and performance evaluation methodologies
  
• Collaborate with product managers, engineers, and designers to implement data-driven solutions
  
• Integrate LLM capabilities effectively
  
• Present findings and recommendations to stakeholders across the organization
  
• Guide and mentor less experienced team members
  
• Ensure deliverables meet Advanced Analytics governance standards and best practices
  
• Build end-to-end data products incorporating cutting-edge AI for banking processes
  
• Help develop an AI-supported customer relationship model for customers and managers
  

Requirements

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• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  
• 5+ years of experience working as a Data Scientist, including significant work with LLMs and multidisciplinary projects
  
• Advanced technical knowledge of LLMs, including fine-tuning, prompt engineering, embedding elicitation, and model optimization
  
• Deep expertise in Python, statistical modeling, and machine learning
  
• Strong proficiency in Pandas, NumPy, and scikit-learn
  
• Hands-on experience with PySpark, TensorFlow, PyTorch, and HuggingFace Transformers
  
• Proficiency in the end-to-end lifecycle of ML models, from dataset creation and EDA to testing and monitoring/retraining
  
• In-depth understanding of LLM risks, including hallucination, biases, and unpredictability
  
• Deep knowledge of machine learning techniques applied to complex business problems, including A/B testing for model performance
  
• Excellent ability to translate complex technical concepts into actionable business insights
  
• Knowledge of ethical AI principles and data privacy laws such as GDPR and CCPA
  
• Previous experience in the financial industry is a plus
  
• PhD in Computer Science, Statistics, Mathematics, or a related field is a plus
  
• Experience with AWS, Google Cloud, or Azure, including Docker and Kubernetes is a plus
  
• Knowledge and application of causal inference methods is a plus
  
• Skills: Data Processing, English Language, Resolume
  

Core Competencies

Demonstrates expertise in managing analytical projects and leading teams to deliver data-driven solutions, with a strong focus on LLM development and optimization. xcskxlj Proficient in translating complex data insights into actionable business strategies while adhering to advanced analytics governance standards.

Highest-signal resume keywords

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• LLM Development and Optimization
  
• Python Programming
  
• Statistical Modeling
  
• Machine Learning Techniques
  
• Data Analysis and Insights
  

ATS Optimization Keywords
Hard Skills

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• Data Analysis
  
• Statistical Modeling
  
• Machine Learning
  
• Predictive Modeling
  
• Generative Modeling
  
• LLM Fine-Tuning
  
• Prompt Engineering
  
• Embedding Elicitation
  
• A/B Testing
  
• Causal Inference Methods
  

Soft Skills

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• Team Leadership
  
• Mentoring
  
• Communication
  
• Collaboration
  
• Problem-Solving
  

Industry Keywords

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• Advanced Analytics
  
• Ethical AI Principles
  
• Data Privacy Laws
  
• GDPR
  
• CCPA
  
• Financial Industry Experience
  

Tools & Technologies

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• Pandas
  
• NumPy
  
• Scikit-Learn
  
• PySpark
  
• TensorFlow
  
• PyTorch
  
• HuggingFace Transformers
  
• AWS
  
• Google Cloud
  
• Azure
  

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