ML Data Analyst: Forecasting & NLP Pipelines

Sovos Latinoamérica; Ciudad de México; Presencial; MXN 420.000 - 660.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible Time-Off

Comprehensive Health benefits

Meal Vouchers

Bi-Weekly Meeting Free Days

Mentoring Programs

Training and Development programs

Rosetta Stone English Club

Descripción de la vacante

Sovos Latinoamérica is seeking a Data Analyst to apply ML tooling to global support operations data, building forecasting models for staffing and utilization, and surfacing insights via clear visualizations. You will develop LLM-based classification pipelines and embed text search for semantic matching.

Strong Python, time-series forecasting with Prophet, and Snowflake SQL are essential, with collaboration across teams to deliver leadership-ready narratives.

Formación

• 3–5 years in a data analyst, ML analyst, or applied data science role.
• Strong Python skills across data cleaning, transformation, and visualization.
• Hands-on experience with Prophet or equivalent time-series forecasting library.
• Proven experience applying LLMs via API for classification tasks, including prompt engineering, output validation, and cost management.
• Familiarity with text embeddings and vector databases (Pinecone, pgvector, Snowflake Cortex, or similar).
• Solid SQL for analysis and validation (Snowflake preferred).
• Ability to communicate model outputs clearly to non-technical stakeholders.
• Background check may be required due to client obligations.
• Experience with scikit-learn or similar ML libraries (Nice to have).
• Exposure to Snowflake Cortex or other cloud ML platforms (Nice to have).
• Experience in a support, CX, or operations analytics context (Nice to have).

Responsabilidades

• Build and maintain forecasting models (Prophet or equivalent) for case volume, staffing, and utilization planning.
• Design and maintain LLM classification pipelines for CSAT, ticket routing, and escalation flagging.
• Develop and maintain text embedding and vector search workflows for semantic case matching and similarity search.
• Write Python scripts for data cleaning, transformation, and visualization (pandas, plotly, matplotlib).
• Query Snowflake to answer ad hoc business questions and validate model outputs.
• Translate ML model outputs into clear, non-technical narratives for ops managers and leadership.
• Partner with the Analytics Engineer to ensure clean, reliable data inputs for all models.

Conocimientos

Python

Prophet time-series

LLM APIs

Text embeddings

SQL

Snowflake

Pinecone

Snowflake Cortex

Herramientas

Snowflake

Pinecone

Snowflake Cortex

Descripción del empleo

Sovos Latinoamérica is seeking a Data Analyst to apply ML tooling to global support operations data, building forecasting models for staffing and utilization, and surfacing insights via clear visualizations. You will develop LLM-based classification pipelines and embed text search for semantic matching.

Strong Python, time-series forecasting with Prophet, and Snowflake SQL are essential, with collaboration across teams to deliver leadership-ready narratives.