The role:
SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFis Marketing organization through robust analytics modeling experimentation and measurement.
This exciting new role will support the development and ongoing operation of an automated end-to-end marketing offer measurement and reporting framework that tracks offer setup execution fulfillment and post-campaign validation across all products. The work produced by this role directly supports accurate offer execution operational monitoring and compliance readiness.
The position will partner closely with a senior position on the same project area focusing primarily on execution implementation and day-to-day reliability of offer reporting systems. This role is ideal for someone who enjoys building and maintaining high-quality data products working within established frameworks and collaborating across teams to ensure consistent and accurate reporting.
What youll do:
- Build and maintain automated offer campaign reporting pipelines dashboards and datasets under the guidance of a senior IC3..
- Implement standardized logic for offer eligibility fulfillment tracking and payout validation across marketing campaigns.
- Perform routine monitoring and data quality checks to ensure offer execution and fulfillment data is accurate complete and timely.
- Investigate and help resolve data discrepancies delays or failures related to offer reporting and fulfillment tracking.
- Support ongoing maintenance and enhancements of self-serve dashboards used by Marketing Product and Compliance stakeholders.
- Assist with time-sensitive or non-standard offer reporting needs by extending existing reporting frameworks.
- Contribute to documentation of data definitions business logic and reporting processes to ensure transparency and consistency.
- Collaborate with Marketing Product Engineering and Compliance partners to gather requirements and validate reporting outputs.
What youll need:
- Bachelors degree in Computer Science Mathematics Statistics Engineering or a related quantitative field.
- 24 years of experience in data science analytics or data engineering roles supporting marketing growth or product analytics.
- Strong proficiency in SQL and working knowledge of Python for data analysis and pipeline development.
- Experience building or maintaining dashboards and self-serve reporting solutions (e.g. Tableau or similar BI tools).
- Familiarity with modern data stacks and workflow tools such as dbt Airflow and cloud data warehouses (e.g. Snowflake) or a strong willingness to learn.
- Experience working with structured datasets and applying consistent business logic across reporting outputs.
- Ability to follow established standards while contributing thoughtful improvements to data quality efficiency and maintainability.
- Strong attention to detail and comfort working with operational data that requires high accuracy.
- Clear communication skills and the ability to collaborate effectively with cross-functional non-technical partners.
- Curiosity reliability and a growth mindset with interest in developing toward greater ownership over time.
Required Experience:
IC
The role:SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFis Marketing organization through robust analytics modeling experimentation and measurement.This exciting new role w...
The role:
SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFis Marketing organization through robust analytics modeling experimentation and measurement.
This exciting new role will support the development and ongoing operation of an automated end-to-end marketing offer measurement and reporting framework that tracks offer setup execution fulfillment and post-campaign validation across all products. The work produced by this role directly supports accurate offer execution operational monitoring and compliance readiness.
The position will partner closely with a senior position on the same project area focusing primarily on execution implementation and day-to-day reliability of offer reporting systems. This role is ideal for someone who enjoys building and maintaining high-quality data products working within established frameworks and collaborating across teams to ensure consistent and accurate reporting.
What youll do:
- Build and maintain automated offer campaign reporting pipelines dashboards and datasets under the guidance of a senior IC3..
- Implement standardized logic for offer eligibility fulfillment tracking and payout validation across marketing campaigns.
- Perform routine monitoring and data quality checks to ensure offer execution and fulfillment data is accurate complete and timely.
- Investigate and help resolve data discrepancies delays or failures related to offer reporting and fulfillment tracking.
- Support ongoing maintenance and enhancements of self-serve dashboards used by Marketing Product and Compliance stakeholders.
- Assist with time-sensitive or non-standard offer reporting needs by extending existing reporting frameworks.
- Contribute to documentation of data definitions business logic and reporting processes to ensure transparency and consistency.
- Collaborate with Marketing Product Engineering and Compliance partners to gather requirements and validate reporting outputs.
What youll need:
- Bachelors degree in Computer Science Mathematics Statistics Engineering or a related quantitative field.
- 24 years of experience in data science analytics or data engineering roles supporting marketing growth or product analytics.
- Strong proficiency in SQL and working knowledge of Python for data analysis and pipeline development.
- Experience building or maintaining dashboards and self-serve reporting solutions (e.g. Tableau or similar BI tools).
- Familiarity with modern data stacks and workflow tools such as dbt Airflow and cloud data warehouses (e.g. Snowflake) or a strong willingness to learn.
- Experience working with structured datasets and applying consistent business logic across reporting outputs.
- Ability to follow established standards while contributing thoughtful improvements to data quality efficiency and maintainability.
- Strong attention to detail and comfort working with operational data that requires high accuracy.
- Clear communication skills and the ability to collaborate effectively with cross-functional non-technical partners.
- Curiosity reliability and a growth mindset with interest in developing toward greater ownership over time.
Required Experience:
IC
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