Senior Data Scientist

Hace 4 días

Mexico City Muttdata Jornada completa

Join Our Remote Data Products & Machine Learning Startup
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
We are looking for an Data Scientist Senior – Customer Segmentation & Classification (RTM) to join our team. In this role, you will develop the RTM (Route-to-Market) customer characterization models, translating an end-to-end understanding of the P&L into a formal optimization function that determines the optimal service model for each customer based on profitability, cost-to-serve, and potential.
This role sits at the intersection of operations research, finance, and commercial strategy. Your mission is to formalize it mathematically and make it scalable across countries. You will work closely with business and finance stakeholders, as well as Data Engineers and Analytics Engineers. Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
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Work on the Characterization pillars (Channel, Size, Potential, Territorial Profile, Digital Autonomy) and their multi-country expansion.
Interpret the P&L end-to-end and translate it into decision variables, costs, and objective functions.
Develop analyses, features, and models on Databricks, collaborating with Data Engineers and Analytics Engineers.
Financial context: ability to interpret a P&L and translate it into variables, costs, and objective functions.
Advanced Python, including optimization libraries (PuLP, Pyomo, OR-Tools, or similar).
Remote-first culture – work from anywhere
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
Birthday off + an extra vacation week (Mutt Week)