Title: Staff Data Scientist Location: Chicago, Illinois, United States of America Requisition ID R0136869 Time Type: Full time The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Staff Data Scientist in Chicago, IL Job Duties: Lead Data Science initiatives within the Pricing Optimization team to drive data-informed pricing decisions. Analyze large, multidimensional datasets and translate findings into actionable insights. Conduct hypothesis testing, statistical inference, and regression analysis to support decision-making. Manage and derive insights from large, complex, and unstructured datasets. Develop machine learning and statistical models to identify pricing targets and treatment strategies that protect margin and sustain merchant engagement. Design and implement experimentation frameworks to evaluate pricing sensitivity and optimize incentive strategies. Collaborate cross-functionally with Product, Engineering, and Finance teams to influence pricing decisions and roadmap priorities. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics, or a closely related field plus six years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Experience with scripting languages: Python (Pandas, NumPy, Scikit-learn, and Statsmodels), and SQL, for data manipulation and modeling (5 years) 2. Experience working with large, complex, and high-dimensional datasets in a production environment (5 years) 3. Experience in statistical analysis, hypothesis testing, and regression (5 years) 4. Experience communicating with cross-functional executive stakeholders, driving alignment on high-impact data science initiatives, and influencing non-technical stakeholders to drive business impact (5 years) 5. Experience with pricing science concepts, including elasticity, marginal value, and segmentation (2 years) 6. Experience with causal impact modeling techniques, including Propensity Score Matching and Difference-in-Differences (2 years) 7. Experience with supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction) methods (5 years) 8. Experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable business insights and solutions (6 years) 9. Experience with statistical inference techniques for complex business scenarios, including hierarchical modeling and Bayesian approaches (5 years) 10. Experience designing experimentation frameworks and mentoring teams on best practices in large-scale A/B and multivariate testing (2 years) Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: Chicago, IL | $142,210.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.

Data Scientist Location: Springfield United States Job Description: Data Scientist, Mid The Opportunity: Provide statistical, mathematical, visualization, or coding support to assist an Intelligence community client analyze and interpret a wide range of data and aid with data management efforts to ensure interoperability, conservation of resources, and consistency across the client's Enterprise. Collaborate with various stakeholders to develop business questions, then identify the necessary data to analyze and answer those questions. Leverage data mining techniques for structured and unstructured information to join and explore relationships in disparate data sets, then apply advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data that will be used to inform the client's strategy and decisions, in partnership with teams examining dashboard or website design, customer interactions, featured content, and future GEOINT products and services. Utilize industry standard communication and visualization tools such as Microsoft Excel and Tableau to visualize and communicate complex quantitative information and analysis to senior executives. Join us. The world can't wait. You Have: - 7+ years of experience in a professional work environment - Experience with data visualization tools such as Tableau and Excel - Experience with high level languages such as SQL and Python - Ability to develop mathematical algorithms or applications in response to complex requirements such as error and root cause analysis - Ability to clean, maintain, move, and manipulate data between applications, using appropriate software, such as R, Python, or SQL, as technology evolves - Ability to develop data visualization dashboards for senior executive audiences - Ability to apply business analytics techniques in any corporate function, such as marketing analytics, consumer analytics, operations analysis, or human capital analytics fields - Active TS/SCI clearance; willingness to take a polygraph exam - Bachelor's degree in Data Science, Statistics, Data Analytics, or Business Analytics Nice If You Have: - Ability to identify systems enhancements and new capabilities, concept demonstrators, and capability business cases - Ability to provide training as new systems and capabilities move into operational use - Ability to work cooperatively and effectively as a team member - Possession of strong verbal and written communication skills - Possession of strong interpersonal skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Role Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Develop and implement machine learning models and algorithms. - Create data visualizations and reports to communicate findings to stakeholders. - Collaborate with team members on data-driven projects and research. - Participate in meetings and contribute to discussions on project progress and strategy. - Work with large datasets to clean, preprocess, and analyze data. - Build and deploy statistical and machine learning models to generate actionable insights. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. - Assist in the creation of data visualizations and dashboards for reporting insights. - Support the development and improvement of data pipelines and algorithms. - Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. - Contribute to the documentation and presentation of results, findings, and recommendations. - Participate in team meetings, brainstorming sessions, and project discussions. Qualifications - Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Strong foundation in statistics, probability, and data analysis techniques. Requirements - Any Graduate / PassOuts / Freshers can apply. Benefits - Internship Certificate - Letter of recommendation - Stipend Performance Based - Part time work from home (2-3 Hrs per day) - 5 days a week, Fully Flexible Shift

Title: Sr Data Scientist Location: Chicago United States Job Description: The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Sr Data Scientist in Chicago, IL Job Duties: Develop and implement credit risk strategies for various products, including PayPal and Venmo credit card programs. Ensure strategies are reviewed and approved within the approved governance committee structures. Develop and automate tracking functionality that monitors volume and strategy performance. Test new data sources to enhance credit risk decisions. Provide PayPal and Venmo Card program insights via monitoring and reporting leveraging internal/external data. Employ mathematical, statistical and data mining methods to make sound decisions that balance risk and reward, user experience and financial performance. Perform operational monitoring to ensure that the strategy executions align perfectly with intents. Conduct ongoing performance reviews with senior leadership team. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus four years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Credit risk management / analytics in consumer lending space (4 years) 2. Predictive analytics and segmentation in consumer lending credit risk area (classification models, regression models, and statistical analysis) (4 years) 3. Experimental design (A/B testing) in consumer lending credit risk area (3 years) 4. Machine learning (model development/deployment; optimization including parameter tuning, dimension reduction, feature selection, and model validation) in consumer lending credit risk area (4 years) 5. Profit & Loss (P&L) analytics in the consumer lending area (3 years) 6. Credit bureau analytics (4 years) 7. Python (pandas, numpy, and sklearn packages) (4 years) 8. SQL tools: Google Big Query and Teradata (4 years) 9. Data visualization / Business Intelligence tools (Tableau, Amplitude, and Q-monitor) (4 years) 10. Database management: Big data and cloud (Hadoop, Hive, Stampy, Teradata, and Google Big Query) (4 years) 11. Forecasting techniques/algorithms and automation with Python (4 years) Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: Chicago, IL | $142,210.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.