kernlith
Mutt Data
#1 - Senior Data Scientist - Databricks - Pricing & Revenue Growth Management
Remote · Full-time · Mexico
- Compensation
- Not defined
- Category
- AI engineering
- Employment
- Full-time
- Workplace
- Remote
Technologies
Python- dbt
AWS- SQL
About the role
- 🚀 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 M