Scientist Jobs

About The Position

Requirements

• Master’s degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization, or a closely related field plus five years of experience in the job offered or a related occupation.
• Alternatively, a Bachelor’s degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization or a closely related field plus eight years of experience in the job offered or a related occupation.
• Data Analytics using SQL: Experience analyzing and interpreting complex datasets to extract actionable insights and support business decision-making, proficient in writing and optimizing complex SQL queries (5 years)
• Dashboarding and Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and visualizations to monitor KPIs, identify behaviour trends and create alerts for anomalies to support leadership in strategic decision-making (5 years)
• Big data tools and cloud platforms: Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to create reproducible and scalable analysis (5 years)
• A/B testing and statistical experimentation: Proficient in designing and executing experiments, hypothesis testing, KPI measurement and scenario validation to support business decisions (3 years)
• Python programming for data analysis: Strong practical coding experience using Python for large-scale data processing and statistical analysis in enterprise environments (5 years)
• Machine learning: Experience with interpreting and assessing machine learning models (classification, regression, feature engineering) to understand model accuracy and alignment with business goals (5 years)
• Behavioral data analysis: Expertise extracting and analyzing customer behavior signals to identify patterns and generate predictive indicators (2 years)
• Automation and scripting: Practical experience designing and automating workflows, reports and dashboards using python and enterprise tools (5 years)
• Statistical analysis: Experience in regression methods, segmentation analysis and exploratory analysis (5 years)
• Unstructured data processing: Experience processing unstructured text data, extracting keywords and sentiment by applying natural language processing and Gen AI techniques (2 years)

Responsibilities

• Lead the development and implementation of advanced data science models.
• Develop cutting edge, scalable and safe products to enhance the experience for PayPal’s global customers.
• Automate manual processes and introduce AI solutions to replace manual work and reduce dependency on human resources.
• Maintain and enhance data-driven authentication risk strategies to support PayPal’s global financial business goals.
• Identify new and emerging fraud trends and partner with key stakeholders to effectively mitigate those.
• Partner with ML (Machine Learning) modelers to develop and validate new risk detection models and adopt those into the decision layer.
• Establish and measure performance against KPIs (Key Performance Indicators) and goals.
• Serve as subject matter expert in communication with legal and compliance partners.

Benefits

• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security
• Support your mental health
• Annual performance bonus
• Equity
• Other incentive compensation