Data Scientist

Data Scientist

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

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.