Senior Data Scientist (Databricks)

Location: Remote - Latam

Company

hirify.global is a remote-first data products and machine learning startup building data engineering, AI, forecasting, recommendation, deep learning, and generative AI solutions for business clients. This opportunity supports a leading multinational beverage company based in Mexico City.

What you will do

• Design, develop, and optimize Pricing and Revenue Growth Management models for strategic commercial decisions.
• 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, experiments, backtesting, sensitivity analyses, and statistical validation.
• Evaluate model robustness, temporal stability, potential bias, and statistical assumptions across multiple levels of granularity.
• Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to communicate analytical findings and actionable recommendations.

Requirements

• 4+ years of experience as a Data Scientist, ideally in pricing, Revenue Growth Management, demand modeling, forecasting, or optimization.
• Advanced Python and SQL proficiency.
• 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, forecasting, mathematical optimization, scenario modeling, and sensitivity analysis.
• Experience with feature engineering using pricing, sales volume, seasonality, product, channel, market, geography, and time-based data.
• 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 for business decision-making; assessing robustness and stability over time; and working with sales datasets across multiple granularities.
• Strong analytical, problem-solving, communication, and data storytelling skills, including presenting to technical and business stakeholders.
• Experience collaborating with business stakeholders, Data Engineers, and Machine Learning Engineers.

Nice to have

• Experience with Large Language Models (LLMs), 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 support within the Latam employment scope.
• In-company English lessons.
• Wellhub or sports club stipend, monthly childcare reimbursement, and food credits via Pedidos Ya.
• Fully covered AWS, DBT, Google Cloud, Azure, and Databricks certifications.
• Birthday off, an additional vacation week, annual team getaway, and referral bonuses.