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Senior Data Scientist Princing y Demand

Montevideo - Montevideo
SPACEDEV SA

Publicado en www.computrabajo.com 06 jul 2025

Senior Data Scientist Pricing Demand Analytics 2 Positions Optimization Predictive Modeling Location LATAM or Global Work type Remote, fulltime Time zone Overlap with US Central CST preferred About the project Were partnering with a global retail and CPG analytics company thats transforming how businesses make pricing and promotional decisions. Their goal is to leverage AI, data science, and optimization to drive smarter strategies across product lines, channels, and markets. As part of a growing Data Science team, youll help build scalable, datadriven models to optimize pricing and predict demand and promotional effectivenesswith direct impact on business outcomes. Who were looking for. Were hiring for two Senior Data Scientist roles, each with a different technical focus OptimizationFocused Role Youll develop price optimization algorithms using operations research OR techniques like linearmixedinteger programming and elasticity modeling. Predictive Modeling Role Youll design machine learning models to forecast demand, evaluate promotions, and measure performance of markdown and bundling strategies. Both roles are handson, crossfunctional, and ideal for problem solvers who thrive in dataheavy, productionoriented environments. Tech stack Languages Python pandas, OOP, SQL Optimization Tools Role 1 Pyomo, PuLP ML Tools Role 2 scikitlearn, PyTorch, TensorFlow, Numpy Data Handling Time series analysis, transactional data Infrastructure Nice to have Databricks, Spark, Streamlit, Flask Environment Cloudbased systems, CICD pipelines, Git What youll do Explore and analyze structuredunstructured data to identify patterns and trends Build and prototype data models tailored to pricing and promotional analytics Develop and test optimization or predictive models, depending on your focus Translate insights into clear, impactful visualizations and reports Collaborate with engineering and product teams to deploy solutions at scale Ensure quality and performance through model testing, validation, and iteration What you need 2 years of experience in Retail or CPG pricingdemand analytics Strong Python and SQL skills Handson experience in either Optimization modeling elasticity, OR, LPMIP ML modeling forecasting, uplift, regression, etc. Experience with time series analysis and data storytelling Ability to work with crossfunctional teams and communicate complex ideas clearly Bachelors or higher in Data Science, OR, Applied Math, Stats, or Computer Science English fluency spoken and written Bonus points for Experience with Databricks or Spark Familiarity with building simple UIs e.g., Streamlit, Flask Knowledge of CICD and cloud production environments Background in pricing, elasticity, and promotions in commercial contexts Interested If youre passionate about pricing science, modeling, and datadriven decisionmaking, and you thrive in fastpaced environmentsthis is your chance to lead highimpact projects in global retail analytics. Apply now and tell us which role fits you best Optimization or Predictive Modeling.
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