Description
This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
Essential Responsibilities:
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Collaborate with stakeholders to understand data requirements.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
Additional Responsibilities & Preferred Qualifications:
- Experience extracting insights and engineering features from large datasets using big data frameworks like Spark, Hive, Athena, BigQuery.
- Experience working with a BI tool like Looker, Tableau.
- Experience developing predictive models applied to real-world business problems in technology industry.
- Good foundational skills with statistics, experience designing, and evaluating experiments.
- Experience building ETL pipelines with a job orchestration tool like Prefect, Airflow, Argo.
- Experienced working with github and a staging-production development environment for ETL and ML pipelines.
- Excellent command of SQL and Python.
Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. We offer comprehensive, choice-based programs to support all aspects of personal wellbeing,physical, emotional, and financial,delivering meaningful value where it matters most.