Job Description:

Mexico ONLY

As a
Data Scientist
supporting our Market Insights & Analytics organization, you’ll build and deploy advanced models and analytical capabilities that unlock commercial growth opportunities. You’ll work at the intersection of data, technology, and business.

Here’s What You’ll Do
- Design, build, and deploy predictive and prescriptive models (forecasting, elasticity, segmentation, attribution, etc.) in the cloud
- Combine and analyze large-scale data sources — including POS, retailer, Amazon Vendor Central, and syndicated data — to identify key performance drivers
- Collaborate closely with Market Insights, Category, and Sales teams to embed data science into commercial decision-making
- Automate and scale analytics using Python, SQL, and Snowflake to improve speed and consistency
- Partner with Data Foundations and Visualization teams to strengthen data pipelines and Power BI reporting
- Translate complex model results into clear business recommendations and present them to senior stakeholders

Here’s What You’ll Bring




- 4+ years of experience in Data Science or Advanced Analytics, ideally within consumer goods, retail, or e-commerce
- Proficiency building a variety of statistical and machine learning models (e.g. time series forecasting, linear/logistic regression, tree based and deep learning models)
- Proficiency in Python and/or R for machine learning (e.g. Scikit-learn, prophet, pyTorch etc.), SQL, and visualization tools (Power BI preferred)

Experience working with big data in the cloud (Snowflake, pySpark etc.) and/or experience deploying and monitoring machine learning models in production.
- Strong communication and problem-solving skills with the ability to translate technical insights into business outcomes
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or other strongly quantitative field

What Success Looks Like
- Predictive models embedded into commercial planning and forecasting processes

📌 Data Scientist (Ciudad de México)
🏢 Ace Technologies
📍 Ciudad de México