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Data Scientist
PayPal Chicago, IL
$114k-140k (estimate)
Full Time 1 Month Ago
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PayPal is Hiring a Data Scientist Near Chicago, IL

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: What you need to know about the role- To perform validation on high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to transaction and credit loss forecast, treasury and prudential risk models. Meet our team You will be joining AI/Model Risk Management Team within Enterprise Financial Risk Oversight unit, focusing on, but not limited to, independent quantitative model validation of high impact AI/models used firmwide. You will play a critical role in ensuring best in class model development, safe adoption and responsible uses, following regulatory guidance/requirements and best industry practices.

Job Description:

Your way to impact

This is an entry level position.

You will help identify enhancement opportunities through model validation, communicate to model owners and developers, and ensure timely remediation. Your work will help ensure compliance with requirements from various regulatory agencies and external audits, proper capital allocation and management for our company, better customer services.

Your day to day

In your day to day role you will

  • Support the lead in providing oversight of high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to transaction and credit loss forecast, treasury and prudential risk models
  • Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement
  • Collaborate with business units and model developers to ensure model issues are agreed and remediated timely

What do you need to bring-

This position requires the curiosity and ability to learn various advanced modeling techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with stakeholders from various teams such as data science, business, finance, accounting, treasury, audit.

  • An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science
  • 0-3 years experience preferred
  • Basic accounting, finance, prudential risk knowledge
  • Advanced Python and SQL coding skills in dealing with big data
  • Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series, random forests, SVMs, XGBoost, CNNs/RNNs)
  • Relevant modeling experience in credit scoring, loss forecasting, stress testing, treasury, obtained either in academic or

financial industry

  • Solid understanding of macroeconomics in relation to the models
  • Ability to work effectively both independently and in a team environment and deliver timely
  • Ability to communicate and present effectively to both technical and non-technical stakeholders at various levels
  • Ability to maintain technical documentation of AI/ML model development and validation

Location options: Austin, Chicago, Scottsdale, Omaha

  • Austin preferred

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Job Summary

JOB TYPE

Full Time

SALARY

$114k-140k (estimate)

POST DATE

03/09/2024

EXPIRATION DATE

05/07/2024

WEBSITE

paypal.com

HEADQUARTERS

CUPERTINO, CA

SIZE

15,000 - 50,000

FOUNDED

1998

TYPE

Public

CEO

SRINIVAS VADHRI

REVENUE

$10B - $50B

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PayPal is a California-based online payments system to send or receive money or to set up a merchant account.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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