Senior Data Scientist

AI/ML Experimentation & Prototyping

• Translate complex and ambiguous business or scientific challenges into structured AI hypotheses and measurable outcomes
• Lead rapid experimentation cycles within Agile delivery frameworks, validating prototypes and iterating based on results
• Build data science solutions and prototypes using Python, SQL, APIs, and cloud-based tooling
• Develop advanced analytical features such as embeddings, classifiers, scoring models, and recommendation engines

Agentic AI, LLM & Evaluation Science

• Design and evaluate AI systems including LLMs, RAG pipelines, and agentic workflows
• Build evaluation frameworks including rubrics, golden datasets, and error taxonomies
• Assess model outputs for accuracy, bias, uncertainty, and hallucination risk
• Optimize context quality, retrieval accuracy, and reasoning in AI-driven systems
• Recommend model architectures and tools based on performance, cost, and risk analysis

Data Engineering & Platform Collaboration

• Partner with data engineering teams to build scalable datasets, pipelines, and retrieval systems
• Work with modern data infrastructure including data lakes, relational databases, and vector stores
• Contribute to knowledge graph, metadata, and feature pipeline development

Decision Science & Impact Measurement

• Define KPIs and performance metrics for AI products, including adoption and business impact
• Apply statistical and experimental methods (e.g., causal inference, A/B testing) to measure outcomes
• Develop visualizations and narratives to communicate insights and model behavior to stakeholders

Reusable Assets & Technical Leadership

• Build reusable data science frameworks, tools, and evaluation templates
• Contribute to code reviews, design discussions, and cross-team collaboration
• Mentor peers and promote best practices in data science and experimentation
• Leverage AI-assisted development tools responsibly while maintaining analytical rigor

Our Client is Looking a highly skilled Senior Data Scientist - AI/ML & Agentic Systems to drive cutting-edge experimentation and development of AI-powered products. This role focuses on building, evaluating, and scaling intelligent systems using advanced machine learning, generative AI, and data science methodologies., * Machine learning, deep learning, and statistical modeling

• LLMs, RAG systems, and agentic AI workflows
• NLP, information retrieval, and recommendation systems
• Proficiency in:
• Python, SQL, R
• Data science libraries (e.g., pandas, scikit-learn, PyTorch, TensorFlow)
• Experience with cloud platforms and data tools (e.g., AWS ecosystem, databases, vector search)

Analytics & Experimentation

• Experience designing experiments, evaluation metrics, and model validation frameworks
• Strong understanding of data quality, feature engineering, and model performance optimization
• Ability to translate analytical findings into actionable business insights

Collaboration & Communication

• Strong stakeholder communication skills with both technical and non-technical audiences
• Experience working in Agile, cross-functional teams
• Ability to navigate ambiguity and adapt quickly in fast-paced environments, * Bachelor's (or higher) degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• 5+ years of experience in data science, machine learning, or applied AI roles
• Hands-on experience building real-world AI/ML solutions

Preferred:

• Experience with LLM evaluation, prompt engineering, and agent-based systems
• Familiarity with vector databases, knowledge graphs, and data pipelines
• Experience using AI-assisted coding tools and rapid prototyping environments