Data Scientist

Role Objective

Engineer to perform the design and development of advanced analytics, machine learning, and applied GenAI solutions that solve complex business problems across diverse client engagements.

Key Responsibilities

• Experience exploratory data analysis and hypothesis-driven modeling initiatives.
• Design, train, and validate machine learning models aligned with business objectives.
• Develop evaluation frameworks and define performance metrics.
• Prototype and validate GenAI use cases using LLMs and embeddings.
• Apply statistical rigor to experimentation and performance assessment.
• Communicate insights and recommendations to technical and business stakeholders.
• Collaborate with ML Engineers to productionize validated solutions.

Candidate Profile

• 3+ years of applied data science experience in enterprise environments.
• Experience designing multiagent solution, different generative frameworks, applying LLMs, embeddings, and prompt engineering techniques
• Strong statistical and modeling background.
• Expertise in Python and ML libraries..
• Ability to translate business needs into analytical solutions.
• Experience working in consulting or client-facing contexts preferred.
• Experience on some of the clouds (AWS, Azure or GCP).

Core Competencies

• Analytical rigor and structured problem-solving.
• Strong business acumen.
• Ability to operate in ambiguous and multi-industry environments.
• Clear communication and stakeholder management.

Indispensable

• Proven experience delivering GEN AI solutions in enterprise contexts.
• Strong statistical foundation and experimentation capability.
• Practical experience applying LLMs beyond theoretical exploration.
• Ability to connect analytical outcomes with measurable business impact.

DESEABLE

• Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.
• Proven Experience in Research and Analysis capabilities or Strong Research Background.
• Record of published research, technical papers, whitepapers, patents, or significant open-source contributions.

Location: Mexico

English Level: Advanced