Senior Data Scientist

PayPal•Chicago, IL

4d•$142,210 - $221,500•Hybrid

About The Position

PayPal, Inc. seeks Senior Data Scientist in Chicago, IL. This role involves leading the development and implementation of advanced data science models, algorithms, and data visualization tables. The position requires researching the latest trends, technologies, tools, and methodologies in Data Science. The Senior Data Scientist will perform deep-dive analyses, including causal inference analysis, A/B testing, and financial projections, to translate ambiguous, unstructured business problems into actionable, data-driven analyses that drive product decision-making. The role will utilize data analytics to identify new opportunities and ensure continuous improvement to the team’s KPIs and targets. Collaboration with stakeholders is key to understanding requirements and identifying/resolving complex data challenges affecting the user experience. The position also involves providing strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior, as well as mentoring and guiding junior data scientists on best practices to ensure data quality and integrity. Partial telecommuting is permitted from within a commutable distance.

Requirements

Master’s degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus two years of experience in the job offered or a related occupation.
Alternatively, a Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus five years of experience in the job offered or a related occupation.
Applying machine learning algorithms (including Random Forest and XGBoost) on financial data for business insights (2 years)
Developing and recalibrating regression-based default models for financial portfolios (2 years)
Conducting analysis using SQL/SAS in database/server for large-scale data analysis (2 years)
Conducting data manipulation and transformation over complicated data structure using PySpark/Spark (2 years)
Building automated pipelines for SQL script on AWS and Snowflake (2 years)
Developing, testing, and running script and data pipelines in Python on cloud environments using distributed computing clusters (2 years)
Building and deploying automated dashboards and benchmarks for risk monitoring using Python, Tableau, and Snowflake (2 years)
Executing complicated models and maintain key documentation in production environment on cloud (2 years)
Conducting investigation on individual customer profile and complaints using various tools, including Python, Excel, Snowflake (2 years)
Coordinating projects and lead project management abilities by applying Scrum and Agile development methodologies (2 years)
Coordinating priorities across projects and communicate with different stakeholders for various business needs and data findings (2 years)
Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

Lead the development and implementation of advanced data science models, algorithms, and data visualization tables.
Research the latest trends, technologies, tools, and methodologies in Data Science.
Perform deep-dive analyses, including causal inference analysis, A/B testing, and financial projections, to translate ambiguous, unstructured business problems into actionable, data-driven analyses that drive product decision-making.
Use data analytics to identify new opportunities and ensure continuous improvement to the team’s KPIs and targets.
Collaborate with stakeholders to understand requirements and identify/resolve complex data challenges affecting the user experience.
Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior.
Mentor and guide junior data scientists on best practices to ensure data quality and integrity.