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 theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre 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.
Required Experience:
Senior IC
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 ...
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 theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre 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.
Required Experience:
Senior IC
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