**We are:** Wizeline, a global AI\-native technology solutions provider, develops cutting\-edge, **AI\-powered** digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of **growth, collaboration,** and **impact.** **With the right people and the right ideas, there's no limit to what we can achieve** **Are you a fit?** Sounds awesome, right? Now, let's make sure you're a good fit for the role: ***Key Responsibilities*** * Design and estimate demand, pricing, and elasticity models using historical and experimental data. * Apply basic econometrics and applied microeconometrics techniques. * Develop forecasting models using methods such as: * Linear/Generalized regressions (OLS, Logit, Probit) * Regularization (Lasso, Ridge, Elastic Net) * Time series (ARIMA, SARIMA, Prophet, BSTS) * Tree\-based models (XGBoost, LightGBM, Random Forests) * Design, validate, and scale demand models. * Support model architecture, automation, and deployment. * Implement causal inference methods (e.g., DiD, Propensity Score Matching). * Design and analyze controlled and quasi\-experiments. ***Must\-have Skills*** * 3\+ years of professional experience in data science, econometrics, data analysis, or quantitative modeling. * Proficient in **Python,** **R** and **SQL**; experience with key libraries such as scikit\-learn, scipy, XGBoost, LightGBM, statsmodels, statsforecast, Prophet, Orbit, Optuna, and SHAP. * Strong analytical skills, structured thinking, and excellent documentation abilities. * Experience collaborating with cross\-functional teams, including data, product, and business stakeholders. ***Nice\-to\-have:*** * **AI Tooling Proficiency**: Leverage one or more AI tools to optimize and augment day\-to\-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. * Experience with cloud platforms and MLOps tools, particularly **Azure and Databricks (including PySpark, pipelines, deployment, and monitoring)** **What we offer:** * A High\-Impact Environment * Commitment to Professional Development * Flexible and Collaborative Culture * Global Opportunities * Vibrant Community * Total Rewards * *Specific benefits are determined by the employment type and location.* Find out more about our culture here.