Research Scientist jobs in United States, Illinois, Chicago

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Develop, refine, and implement credit risk strategies using advanced analytics and unit economics to guide smart, profitable lending decisions
• Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications
• Monitor key portfolio metrics and segment-level performance to identify and address emerging credit risks proactively
• Partner cross-functionally with teams including Machine Learning, Fraud, Compliance, Legal, Marketing, Product, Engineering, Bank Partners, and more to align risk strategies with customer and business objectives
• Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
• Lead end-to-end project execution with minimal assistance as a credit risk expert
• Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Your way to impact:

• You will own & execute fraud prevention strategies for our global merchant lending products
• You will utilize large, complex datasets to make data-driven decisions and answer business questions

In your day-to-day role, you will:

• Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products
• Identify opportunities and gaps within current portfolio of PayPal’s Fraud Risk controls, including continuously evolving fraud trends
• Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure
• Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience
• Monitor performance of existing & new solutions and optimize to ensure desired results
• Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions

What you need to bring:​

• Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitativediscipline
• 3+ years proven credit or fraud risk analytics experience or equivalent
• Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis
• Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis
• Aptitude and willingness to roll-up the sleeves and get involved in the details
• Must have good business judgment with demonstrated ability to think creatively and strategically
• Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
• Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones
• Proficient in Python, R, SQL
• Proficient in Excel, Powerpoint & Word

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Skills and background requirement:

-3+ years of experience in solving problems using a data-driven approach

-Strong proficiency in analytical tools and languages such as SQL, Python, BigQuery, Machine learning and data visualization tools (e.g., Tableau, Power BI).

Proven track record in the field of data analysis or statistical analysis

Outstanding written, verbal, and interpersonal communication skills

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
• Experience with panel measurement and survey design.

• Master’s degree or PhD. in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics).
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

In your role as a Decision Scientist, you will:

• Research and define the challenges and limitations of the fine line between automated fraud and legitimate AI-driven engagements.
• You’ll collaborate with internal and external partners to set the standard of the signals acquisition for agentic traffic.
• Track and measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth
• Develop and own data-driven risk decision strategies to support PayPal’s risk and business goals
• Utilize bottom-up, story based, innovative techniques to apply analytical know how onto PayPal’s risk strategies
• Plan, drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions
• Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers
• Grow ongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms
• Plan and measure experiments to analyze incremental value of new intelligence feeds, from internal teams or vendors

What do you need to bring -

• Bachelor’s Degree (or above) in one of the following: economics, finance, engineering, exact sciences, etc.

• 4+ years of hands-on experience in relevant positions, e.g.: decision scientist, data analyst, data scientist, product manager, background in identifying trends and patterns / risk management / law enforcement or military intelligence units

• Technical orientation; experience in SQL / Python / other programming language
• Independent, self-driven, with a strong sense of accountability.

• Excellent English verbal and written communication skills

• Proven analytical and problem-solving skills, business mindset

• Quick-thinker, fast learner, self-starter, inquisitive, forward thinking

Great advantages:

• Experience forfraud/risk/intelligence
• Experience for AI Agentic engagements
• Experience with Device Intelligence
• Experience with automation tools/scripting
• Experience with internet protocols

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

• Bachelor's degree in Accounting, or a related field, or equivalent practical experience.
• Certified Public Accountant (CPA).
• 10 years of experience at public accounting firms and publicly-traded multinational companies.
• Experience working in technical accounting, accounting policies, accounting advisory, or a similar role.
• Experience with consolidation (ASC 810) and leases (ASC 842).

• Experience working in a technical accounting or similar role at the SEC or FASB.
• Understanding of GAAP accounting principles, with subject matter expertise in ASC 810 and ASC 842.
• Ability to work with executive management and influence decision making.
• Excellent project management and communication skills.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

• Bachelor’s Degree (or above) in one of the following: economics, finance, engineering, exact sciences, etc.
• 5+ years of hands-on experience in relevant positions, e.g.: decision scientist, data analyst, data scientist, product manager, background in identifying trends and patterns / risk management / army intelligence units
• Technical orientation; experience in SQL / R / Python / other programming language – a must
• Excellent English verbal and written communication skills
• Proven analytical and problem-solving skills, business mindset
• Quick-thinker, fast learner, self-starter

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please