Responsibilities
- Create and deploy data science solutions using Python and Databricks.
- Design rule-based and deterministic models for forecasting and decision-making.
- Carry out exploratory data analysis to detect trends and business insights.
- Develop and manage scalable pipelines for data processing and transformation.
- Apply Databricks and Spark frameworks for high-volume data analytics.
- Perform statistical evaluations, hypothesis testing, and model performance reviews.
- Work with business teams to convert requirements into analytical outcomes.
- Produce dashboards and visual reports to present analytical findings.
- Maintain data integrity, governance, and regulatory compliance.
- Record analytical methods, models, and workflows.
- Collaborate with data engineering, product, and business units.
Work Arrangement
Remote (Worldwide) — available in 32 cities globally
Other
- The organization fosters an inclusive and open environment that supports diversity and creative thinking.
- Without rigid hierarchies, employees are encouraged to shape their own career paths as the company evolves.
- Varied perspectives and backgrounds are seen as key to maintaining a strategic edge.
