Data Scientist

Job Summary: We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasets-translating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Key Responsibilities

• Data Handling & Preprocessing
• Gather, preprocess, and analyze large volumes of structured and unstructured data (up to terabytes/petabytes) from multiple sources.
• Use SQL, Python, R, Spark, and other relevant tools in a cloud-native AWS environment.
• Machine Learning & Modeling
• Develop and deploy unsupervised and supervised machine learning models, including deep learning solutions.
• Apply advanced methods in NLP, optimization, and neural networks to solve complex business problems.
• Integrate Gen AI solutions and RAG approaches to enhance data-driven insights and improve model performance.
• Generative AI & RAG
• Experiment with and implement generative AI techniques for tasks such as text generation, content summarization, and data augmentation.
• Use Retrieval Augmented Generation to enhance model outputs by incorporating external knowledge sources and providing contextually relevant information.
• Contribute to designing and developing end-to-end pipelines that combine LLMs (Large Language Models) with retrieval systems.
• Statistical Analysis
• Utilize sampling, descriptive statistics, hypothesis testing, attribution analysis, multivariate segmentation, and recommender systems.
• Ensure data quality through comprehensive testing, validation, and performance evaluation of algorithms.
• Solution Delivery & Scalability
• Build scalable, custom, and commercial solutions for internal and external customers.
• Combine business requirements, existing processes, and data knowledge to create eHective analytical outcomes.
• Maintain and optimize ML/AI pipelines to handle large-scale data in an Agile environment.
• Collaboration & Communication
• Work alongside fellow data scientists, analysts, and data engineers to solve complex business problems at scale.
• Contribute to data pipelines, model training, testing, and deployment frameworks.
• Present insights and recommendations to diverse audiences, ensuring clarity and alignment with strategic goals.
  
  

Basic Qualifications

Education: Bachelor's degree in computer science, Mathematics, Statistics, Machine Learning, Analytics, Data Science, or a related field.

Experience: Minimum of 2 years of experience in a data science or analytical role, including relevant coursework or practical projects.

Preferred Qualifications

Education: Master's degree in computer science, Statistics, or a related field.

Experience: 3+ years of experience in a data science or analytical role, including relevant coursework or practical projects.

• 2 year of hands-on experience in data science, applying machine learning techniques to real-world problems.
• Exposure to generative AI frameworks, NLP libraries, or retrieval-based solutions (e.g., LLMs, RAG workflows).