Senior Data Scientist, IA Aplicada

This is a fully remote position, open to applicants in Mexico, +1 more country.

📋 Description

• Design, train, and deploy predictive models, such as fraud scoring, user segmentation, and behavioral models, while assessing their business value.

• Build and enhance conversational agents and workflows using LLMs (RAG, tool calling, MCP) to transform model outputs into actionable insights.

• Evaluate model and agent quality through metrics, traces, and continuous testing (e.g., MLflow), optimizing cost and latency in production.

• Conduct exploratory data analyses (EDA) with transactional, conversational, and contextual data, translating findings into business decisions.

• Collaborate with engineering and data teams to expand the data sources available on the MCP server, ensuring data quality and integrity.

• Define and adjust product and funnel metrics as hypotheses change, identifying missing data necessary for swift pivots.

• Present results through dashboards and BI tools to empower non-technical teams to make informed decisions.

• Document and disseminate best practices in data science and applied AI within the team.

⛳️ Requirements

• Proficient in Python for data science and ML (pandas, scikit-learn; desirable XGBoost/LightGBM) and advanced SQL over a data warehouse.

• Experience in production predictive modeling: regression, classification, and segmentation, including validation and monitoring.

• Knowledge of LLMs and agents in production: RAG, tool calling, and orchestration with LangChain/LangGraph or similar technologies.

• Ability to evaluate and monitor models and LLMs (MLflow or equivalent, traces, quality metrics).

• Experience with MCP (creating servers or connecting agents to internal data) is desirable.

• Familiarity with semantic caching and techniques for reducing inference cost and latency is a plus.

• Proficient in BI tools: Looker, Metabase, Power BI, or Tableau (desirable).

• Experience with AWS or GCP and FastAPI for serving models and services is a plus.

• Background in fraud detection, risk assessment, or scoring is desirable.

• 4+ years of experience in data science or ML, with at least 1 year building production solutions using LLMs.

• Proven experience in deploying at least one predictive model and explaining its impact on business.

• Experience working remotely with distributed teams.

• Ability to communicate technical results to non-technical audiences and translate models into decisions.

• Adaptable to changing priorities and capable of managing multiple tasks simultaneously.

• Initiative-driven: proposes solutions rather than waiting for complete specifications.

• Uses AI assistants judiciously in daily work, validating their outputs.

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.

• Must reside in a LATAM country (LATAM only).

• Intermediate to advanced English proficiency, both spoken and written.

• Availability to collaborate in hours close to Mexico City time.

• Prefers small teams with high autonomy and accountability for outcomes.

• Enjoys rapid learning and transitions between analysis, models, and agents within the same day.

• Understands that a good model is only valuable if it influences a business decision.

🏝️ Benefits

• Integration with global brands and disruptive startups.

• Remote work/Home office flexibility.

• Adjusted schedule according to the assigned work/project team.

• Work from Monday to Friday.

• Day off on your birthday.

• Major medical expenses insurance (applicable in Mexico).

• Life insurance (applicable in Mexico).

• Multicultural work teams.

• Access to courses and certifications.

• Virtual integration events and interest groups.

• English classes.

• Opportunities within our various lines of business.

• Proudly certified as a Great Place to Work.