#1 - Senior Data Scientist - Databricks - Pricing & Revenue Growth Management - Latam

Remote

San Francisco (CA)

Remote

USD 180,000 - 240,000

Full time

8 days ago

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Benefits offered by this job

Remote-first culture

English Lessons

Wellhub or sports club stipend

AWS, DBT, Google Cloud, Azure & Databr

Databricks certifications fully covers

Food credits via Pedidos Ya

Birthday off

Referral bonuses

Mutters' Trip

Monthly childcare reimbursement

Job summary

Muttdata, a remote‑first data products and ML startup, is seeking a Senior Data Scientist to design, develop, and enhance advanced Pricing and Revenue Growth Management models. You will translate data on demand, pricing, products, channels, and consumer behavior into actionable insights to drive strategic decisions.

You will combine machine learning, statistics, econometrics, and business expertise to build predictive models, estimate elasticities, and optimize pricing strategies, collaborating

Qualifications

4+ years of Data Scientist experience with pricing, RGM, demand modeling or optimization.
Strong programming in Python and SQL with hands‑on ML and statistics.
Experience with price elasticity, own-price and cross-price effects.
Familiarity with time series, forecasting, and optimization techniques.

Responsibilities

Design, develop, and optimize Pricing and RGM models to support decisions.
Build and validate price-demand elasticity models and related analytics.
Develop ML and econometric models to analyze demand and pricing.
Perform time series forecasting and mathematical optimization.
Feature engineering using pricing, volume, seasonality, channel and market data.
Design experiments, backtesting, sensitivity analyses, and validations.
Assess model robustness, biases, and temporal stability.
Create pricing scenarios and simulations to test commercial strategies.
Collaborate with stakeholders, data engineers, and ML engineers to translate challenges into data solutions.
Communicate insights and recommendations clearly to technical and business audiences.

Skills

Python

SQL

Statistics

Econometrics

Machine Learning

Elasticity modeling

Time series

Optimization

Feature engineering

Databricks/Spark

MLflow

Cross-functional

Data storytelling

Tools

Databricks

Spark/PySpark

MLflow

Job description

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 Do

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.

Our Partnerships

Amazon Web Services
Astronomer
Databricks

Our Values

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!

Responsibilities

Design, 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.

Required Skills

4+ years of experience as a Data Scientist, ideally working on Pricing, Revenue Growth Management (RGM), demand modeling, forecasting, or optimization.
Advanced proficiency in Python and SQL.
Strong knowledge of applied statistics, econometrics, and supervised Machine Learning.
Hands‑on experience with price elasticity modeling, demand modeling, price-response curves, or equivalent approaches.
Solid understanding of own-price and cross-price elasticity.
Experience with regression models, regularization techniques, and statistical inference.
Strong background in time series analysis and forecasting.
Experience with mathematical optimization, scenario modeling, and sensitivity analysis.
Proficiency in feature engineering using pricing, volume, seasonality, and commercial variables.
Experience designing experiments, performing backtesting, and conducting statistical validation.
Hands‑on experience with Databricks, Spark/PySpark, and MLflow.
Experience developing and validating statistical and Machine Learning models that support business decision‑making.
Experience working with sales datasets involving pricing, volume, products, channels, geographies, and time dimensions.
Ability to build models across multiple levels of granularity and assess their statistical robustness and stability over time.
Strong analytical and problem‑solving skills, with the ability to translate business challenges into mathematical and predictive models.
Excellent communication and data storytelling skills, with experience presenting insights to technical and business stakeholders.
Experience collaborating with cross‑functional teams, including business stakeholders, Data Engineers, and Machine Learning Engineers.

Nice to Have

Experience working with Large Language Models (LLMs).
Knowledge of AI agents and agentic systems.
Familiarity with MLOps practices and tools.
Experience deploying and maintaining Data Science and AI solutions in production environments.
Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance.
Experience working with event data, user tracking, and application tagging.
Ability to collaborate effectively with Product, Engineering, and Business teams.

Perks