Strategic Data Scientist – Sales Growth (Remote, MX)

Infor Inc.

Ciudad de México

Remote

MXN 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Infor in Mexico City is seeking a Senior Data Scientist (Strategy Data Science) to own analytical workstreams end to end, partnering with Sales and other functions to drive customer acquisition, pipeline growth, and revenue. You will build models, frame problems, and translate findings into exec-ready narratives.

Expect close collaboration with IT for deployment and production-ready scripts, plus hands-on work with Snowflake and Python.

Qualifications

  • 7+ years of experience applying machine learning and statistical modeling to business problems.
  • Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Background in SaaS, sales analytics, or go-to-market analytics.
  • End-to-end analytical ownership from framing to insights and impact.
  • Strong SQL and Python skills; comfortable with Snowflake.
  • Proven ability to present findings to business stakeholders with clear actions.
  • Solid statistical rigor including regression, segmentation, and experimentation.

Responsibilities

  • Own data science workstreams end to end from scoping through analysis and stakeholder communication.
  • Translate business objectives into analytical frameworks and actionable insights.
  • Develop exec-facing narratives and presentations linking results to decisions.
  • Collaborate with data foundations and DS practices to share best practices.
  • Produce production-ready scripts and work with IT to deploy insights.

Skills

Machine learning
Statistical modeling
SQL
Python
Stakeholder communication
Experimentation
Problem framing

Tools

Snowflake

Job description

Infor in Mexico City is seeking a Senior Data Scientist (Strategy Data Science) to own analytical workstreams end to end, partnering with Sales and other functions to drive customer acquisition, pipeline growth, and revenue. You will build models, frame problems, and translate findings into exec-ready narratives.

Expect close collaboration with IT for deployment and production-ready scripts, plus hands-on work with Snowflake and Python.

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