Senior Data Scientist - Databricks - Pricing & Revenue Management - Latam
Listed on 2026-11-01
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
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.
This opportunity is with a leading multinational beverage company based in Mexico City.
We are looking for a Senior Data Scientist to join our team. You'll be responsible for designing, developing, and enhancing advanced Pricing and Revenue Growth Management (RGM) models
, turning data on demand, pricing, product portfolios, sales channels, and consumer behavior into actionable insights that drive strategic business decisions.
In this role, you'll combine Machine Learning, statistics, econometrics, and business expertise to build predictive models, analyze price-demand relationships, estimate price elasticities, and optimize pricing strategies.
You’ll work closely with business stakeholders, Data Engineers, and Machine Learning Engineers to develop scalable, statistically robust solutions that support commercial decision-making. Strong analytical thinking, business understanding, and the ability to translate complex data into actionable recommendations are essential to succeed in this collaborative environment.
What We DoLeveraging 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.
Amazon Web Services
Astronomer
Databricks
We are Data Nerds
We are Open Team Players
We Take Ownership
We Have a Positive Mindset
Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!
ResponsibilitiesDesign, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models to support strategic business decisions.
Build and validate price-demand elasticity models, including own-price and cross-price elasticities.
Develop predictive models using Machine Learning, statistical methods, and econometric techniques to analyze demand, pricing, and consumer behavior.
Perform time series analysis, demand forecasting, and mathematical optimization to identify business opportunities.
Conduct feature engineering using pricing, sales volume, seasonality, product, channel, and market data.
Design and execute experiments, backtesting, sensitivity analyses, and statistical validations to ensure model reliability.
Evaluate model robustness, temporal stability, potential biases, and underlying statistical assumptions.
Develop pricing scenarios and simulations to assess the impact of commercial strategies.
Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to translate business challenges into data-driven solutions.
Communicate complex analytical findings and actionable recommendations to both technical and non-technical stakeholders.
4+ years of experience as a Data Scientist, ideally working on Pricing, Revenue Growth Management (RGM), demand modeling, forecasting, or optimization.
Adva…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).