Senior Data Science Associate Consultant

                Job Description
Job Title: Senior Data Science Associate Consultant

Job Type: Full-time

Location: Remote LATAM

Job Summary
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Key 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.

Required Skills and Qualifications
- 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.
- Experience in domains like healthcare, tech, or finance is a plus.

Preferred Qualifications
- 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.

Our interview process is streamlined with a single step: an AI interview. If you perform well, our hiring managers will review your AI interview recording and may extend an offer directly based on that review