Senior Data Science Associate Consultant

About This Role

Lead the design, development, and deployment of advanced AI and ML models and data-driven systems as a Senior Data Science Associate Consultant. Collaborate with clients and lead data science teams to deliver business impact through rigorous research and analysis.

Responsibilities

• Lead the design, development, and deployment of advanced AI and ML models addressing large-scale, high-dimensional problems
• Architect data-driven systems combining statistical, predictive, and generative modeling techniques
• Evaluate and integrate emerging datasets, frameworks, and tools into scalable production pipelines
• Fine-tune large language models (LLMs) and experiment with hybrid AI systems using agentic or classical approaches
• Collaborate directly with clients to define project scope, design analytical solutions, and deliver business impact
• Lead teams of data scientists, ensuring methodological rigor, reproducibility, and innovation
• Contribute to thought leadership initiatives through publications and research collaborations

Requirements

• PhD in Computer Science, Statistics, or a related field, or Master’s with 4–6 years of data science experience
• Expert in Python, statistical modeling, and advanced ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Deep understanding of data architecture, MLOps, and model lifecycle management
• Hands-on experience with RAG pipelines, fine-tuning generative models, and multi-agent systems
• Strong experience with big data ecosystems (Spark, Hadoop) and cloud platforms (AWS, Azure)
• Proven ability to lead analytical projects, mentor teams, and communicate technical results to executives

Qualifications

• PhD in Computer Science, Statistics, or a related field, or Master’s with 4–6 years of data science experience
• 4-6 years of data science experience (Master's degree) or PhD. Proven ability to lead analytical projects, mentor teams, and communicate technical results to executives.

Nice to Have

• Experience in domains like healthcare, tech, or finance
• Experience fine-tuning generative models and integrating classic AI techniques
• Prior leadership experience and a record of mentoring junior colleagues
• Domain expertise in healthcare, transportation, technology, insurance, or related sectors

Skills

* Required skills