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

1 hour, 23 minutes ago
Full-time
Mid Level
Data Science and Analytics
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017

Description

  • Design, develop, and optimize Pricing and Revenue Growth Management models.
  • Build and validate own-price and cross-price elasticity models.
  • Develop predictive models using machine learning, statistics, and econometrics.
  • Perform time series analysis, demand forecasting, and mathematical optimization.
  • Engineer features from pricing, sales, product, channel, seasonality, and market data.
  • Design experiments, backtesting, sensitivity analyses, and statistical validations.
  • Assess model robustness, temporal stability, bias, and statistical assumptions.
  • Develop pricing scenarios and simulations to evaluate commercial strategies.
  • Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers.
  • Communicate analytical findings and recommendations to technical and non-technical audiences.

Requirements

  • 4+ years of experience as a Data Scientist, preferably in pricing, RGM, demand modeling, forecasting, or optimization.
  • Advanced proficiency in Python and SQL.
  • Strong knowledge of applied statistics, econometrics, and supervised machine learning.
  • Experience with price elasticity, demand modeling, or price-response curves.
  • Experience with regression, regularization, statistical inference, time series, and forecasting.
  • Experience with mathematical optimization, scenario modeling, sensitivity analysis, and feature engineering.
  • Experience designing experiments, backtesting, and statistically validating models.
  • Hands-on experience with Databricks, Spark/PySpark, and MLflow.
  • Experience working with commercial sales data across products, channels, geographies, and time dimensions.
  • Strong analytical, problem-solving, communication, data storytelling, and cross-functional collaboration skills.
  • Experience with LLMs, AI agents, MLOps, production deployments, or orchestration is preferred.

Benefits

  • Remote-first work environment.
  • Company-provided English lessons.
  • Wellhub or sports club stipend.
  • Covered AWS, dbt, Google Cloud, Azure, and Databricks certifications.
  • Food credits through Pedidos Ya.
  • Birthday off plus an additional vacation week.
  • Referral bonuses and annual team trip.
  • Monthly childcare reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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