**Senior Data Scientist - Pricing & Demand Analytics (2 Positions: Optimization / Predictive Modeling)** **Location**: LATAM or Global **Work type**: Remote, full-time **Time zone**: Overlap with US Central (CST) preferred **About the project** We’re partnering with a global retail and CPG analytics company that’s 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, you’ll help build scalable, data-driven models to optimize pricing and predict demand and promotional effectiveness—**with direct impact on business outcomes**. **Who we’re looking for** We’re hiring for **two Senior Data Scientist roles**, each with a different technical focus: - **Optimization-Focused Role**: You’ll develop price optimization algorithms using operations research (OR) techniques like linear/mixed-integer programming and elasticity modeling. - **Predictive Modeling Role**: You’ll design machine learning models to forecast demand, evaluate promotions, and measure performance of markdown and bundling strategies. Both roles are hands-on, cross-functional, and ideal for problem solvers who thrive in data-heavy, production-oriented environments. **Tech stack** **Languages**: Python (pandas, OOP), SQL **Optimization Tools (Role 1)**: Pyomo, PuLP **ML Tools (Role 2)**: scikit-learn, PyTorch, TensorFlow, Numpy **Data Handling**: Time series analysis, transactional data **Infrastructure (Nice to have)**: Databricks, Spark, Streamlit, Flask **Environment**: Cloud-based systems, CI/CD pipelines, Git **What you’ll do** ✔Explore and analyze structured/unstructured 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 pricing/demand analytics ✔Strong Python and SQL skills ✔Hands-on experience in **either**: - Optimization modeling (elasticity, OR, LP/MIP) - ML modeling (forecasting, uplift, regression, etc.) ✔Experience with time series analysis and data storytelling ✔Ability to work with cross-functional teams and communicate complex ideas clearly ✔ Bachelor’s 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 CI/CD and cloud production environments Background in pricing, elasticity, and promotions in commercial contexts **Interested?** Tipo de puesto: Tiempo completo, Indefinido Experiência: - en el rol: 4 años (Obligatorio) Idioma: - Inglés (Obligatorio)