Senior Data Scientist, Pre-Sales Strategy (Remote Mexico)

Infor Inc.; México; Remote; MXN 1,000,000 - 1,600,000; Full time

Job summary

Infor Inc. is seeking a Senior Data Scientist in Mexico City to own end-to-end analytics for Pre-Sales Data Science.

You will work with business partners across Sales, Marketing, and Revenue Ops to address high-priority questions on customer acquisition, pipeline growth, and revenue impact. The role demands 7+ years of ML, statistics, and data science experience, with strong SQL and Python skills and a track record of delivering data-driven recommendations that influence business outcomes.

Qualifications

• 7+ years applying ML, statistical modeling and data science to business problems.
• Hands-on with LLMs, RAG, prompts, and AI-powered business solutions.
• Background in SaaS or GTM analytics within B2B environments.
• Independently own analytical projects from framing to delivery with stakeholders.
• Strong SQL and Python; experience in Snowflake.

Responsibilities

• Own data science workstreams end to end and communicate insights to stakeholders.
• Frame problems, translate objectives into analytical frameworks and models.
• Translate findings into exec-ready narratives linking to business decisions.
• Collaborate on data foundations and DS best practices within the team.
• Develop production-ready analytical scripts and support deployment to ops.

Skills

ML & Stats

Generative AI

SaaS analytics

End-to-end ownership

SQL & Python

Data storytelling

Tools

Snowflake

LLMs tooling

Job description

Infor Inc. is seeking a Senior Data Scientist in Mexico City to own end-to-end analytics for Pre-Sales Data Science.

You will work with business partners across Sales, Marketing, and Revenue Ops to address high-priority questions on customer acquisition, pipeline growth, and revenue impact. The role demands 7+ years of ML, statistics, and data science experience, with strong SQL and Python skills and a track record of delivering data-driven recommendations that influence business outcomes.