Data Scientist

Data ScientistWe 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

1. Design and estimate demand, price, and elasticity models based on historical and experimental data.2. Apply basic econometric and applied microeconometric techniques.3. Develop forecasting models using various approaches:

a. Linear and generalized regressions (OLS, Logit, Probit).b. Regularization and variable selection (Lasso, Ridge, Elastic Net).c. Time series: ARIMA, SARIMA, Prophet, Bayesian Structural Time Series.d. Tree models and ensemble methods: XGBoost, LightGBM, Random Forests.

4. Design, validate, and scale demand models.5. Participate in the architecture, automation, and deployment of models in production.6. Implement and evaluate causal inference methods, such as Difference-in-Differences (DID) and Propensity Score Matching.7. Design and analyze controlled and quasi-experimental experiments.

Must-have Skills

• Languages: Python, R, and SQL
• Cloud & MLOps (plus): Azure, Databricks (pyspark, pipelines, deployment, and monitoring).

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.
• Bachelor's or master's degree in Economics, Engineering, Statistics, Data Science, or a related quantitative field.
• 3+ years of professional experience in data science, econometrics, data analysis, or quantitative modeling.
• Proficiency in Python (including libraries such as scikit-learn, scipy, xgboost, lightgbm, statsmodels, statsforecast, prophet, orbit, optuna, shap) and SQL.
• Outstanding analytical skills, structured thinking, and excellent documentation skills.
• Experience collaborating with data, product, and business teams.

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.