Senior Data Scientist - Databricks - Pricing & Revenue Growth Management (Databricks)

Location: Remote - Latam

Company

hirify.global is a remote-first data products and machine learning startup building data infrastructure, machine learning systems, generative AI solutions, deep learning models, and recommendation systems for businesses.

What you will do

• Design, develop, and optimize Pricing and Revenue Growth Management models for a leading multinational beverage company.
• Build and validate price-demand elasticity models, including own-price and cross-price elasticities.
• Develop predictive models using machine learning, statistics, and econometrics for demand, pricing, and consumer behavior.
• Perform time series analysis, demand forecasting, mathematical optimization, scenario modeling, simulations, and sensitivity analyses.
• Conduct feature engineering, experiments, backtesting, and statistical validation across pricing, sales, product, channel, market, and seasonal data.
• Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers and communicate analytical findings to technical and non-technical audiences.

Requirements

• 4+ years of experience as a Data Scientist, ideally in pricing, Revenue Growth Management, 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, including own-price and cross-price elasticity.
• Experience with regression models, regularization, statistical inference, time series analysis, and forecasting.
• Experience with mathematical optimization, scenario modeling, sensitivity analysis, feature engineering, experiments, backtesting, and statistical validation.
• Hands-on experience with Databricks, Spark/PySpark, and MLflow.
• Experience developing and validating statistical and machine learning models for business decision-making using sales data involving pricing, volume, products, channels, geographies, and time dimensions.
• Ability to build models at multiple levels of granularity, evaluate statistical robustness and temporal stability, solve business challenges with mathematical and predictive models, and present insights clearly.
• Experience collaborating with business stakeholders, Data Engineers, and Machine Learning Engineers.

Nice to have

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

Culture & Benefits

• Remote-first culture with work-from-anywhere flexibility.
• AWS, DBT, Google Cloud, Azure, and Databricks certifications fully covered.
• Birthday off and an additional vacation week.
• Referral bonuses and monthly credits for the benefits marketplace.
• Team getaway and annual team trip.