Research Scientist jobs in United States, New York, New York

Job Description:

The Gaming & Lodging team covers over 30 publicly listed companies including Sports Betting Operators, Hotels, Casinos, and REITs and has been ranked Top 3 in the annual Institutional Investor (II) poll for the 15 years, including number 1 the last 4 years.

Responsibilities

• Perform financial modeling & valuation work
• Update, analyze and compile complicated datasets in databases using Excel
• Derive key insights from data trends and analysis
• Monitor, compile, and summarize/model key industry news and developments incl. via social media
• Seek out new, unusual sources of information to augment our research capabilities/insights
• Write and update company and industry data reports and trends
• Closely follow and understand stock market, industry and company specific activity, and relay to the analyst when he/she is traveling
• Develop industry knowledge and business judgment over time

Qualifications

• Bachelor’s Degree or equivalent years of experience
• For finance candidates, minimum 9-12+ months experience in accounting, corporate finance, research, banking or consulting for finance oriented candidates
• For engineering/math STEM candidates, strong communication skills and some working knowledge of financial modeling, statements and analysis
• Strong modeling and financial analysis skills (income statement, balance sheet, and cash flow statement in Excel)
• Strong attention to detail, and understanding of MS Office for formatting charts, tables and exhibits
• Knowledge of statistics and/or data analytics/data science techniques; skills with both AI promoting, and python programming a plus
• General interest in the stock market and/or financial markets
• Must work well in a fast-paced, intense and collaborative team environment

Essential Responsibilities:

• Develop and articulate clear objectives and implement strategies that deliver results and meet Financial goals
• Influence decision-making at the senior leadership level
• Perform the most highly complex credit and lending assessments using knowledge and extensive business expertise
• Develop and deliver innovative strategies that benefit customers and/or clients for financial success
• Lead major business projects which impact a business unit or entire function
• Design, evaluate, and select financial objectives based on thorough understanding of business needs and industry trends
• Lead others to solve issues of diverse scope

Expected Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Data Scientist Responsibilities

• Analyze and aggregate PayPal’s global loan data to provide comprehensive insights for internal stakeholders and investor reporting.
• Deliver analytics-driven support for financial model building, including cash flow analysis, credit risk assessment, and pricing strategies.
• Lead efforts in creating dashboards, reports, and presentation materials that communicate complex data and trends to executive leadership and investors.
• Enhance data pipelines and infrastructure to ensure scalable, accurate, and secure handling of high-volume, complex loan-level datasets.
• Develop, validate, and maintain robust financial and credit models used for ABS transaction structuring and portfolio monitoring.
• Collaborate closely with ABS counterparties, investment teams, and business units to provide timely analytics for deal execution and capital markets activities.
• Stay updated and implement industry best practices around structured finance analytics, data privacy, and regulatory compliance.
• Liaise with many cross functional teams on everything related to capital markets workstreams

Minimum Qualifications

• Minimum of 5 years of relevant experience, including extensive exposure to data and loan portfolio analytics
• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Science, or related quantitative field; advanced degree preferred

Education

• Bachelor's or Master’s degree or higher in quantitative disciplines such as Mathematics, Statistics, Economics, Finance, Business Analytics, Engineering, or Data Science from accredited institutions.

Professional Experience & Skills

• 5+ years of experience in data analytics, structured finance, or credit risk management, preferably at a fintech company, investment bank, or hedge fund.
• Proven track record working with large-scale loan data across multiple asset classes, including ABS portfolios.
• Strong experience building and maintaining financial and credit risk models that support investment decisions and capital markets transactions.
• Proficiency in data management and analytics tools including SQL, Python, R, Tableau, Excel, and PowerPoint.
• Skilled in synthesizing complex datasets to derive meaningful insights with urgency and accuracy.
• Excellent project management skills, including the ability to drive results and influence cross-functional partners.
• Experience advising internal stakeholders and external investors with clear, compelling communication of analytical results.
• Demonstrated leadership in team development and mentorship, fostering high productivity and continuous learning.

Work Permit and Relocation Prerequisites

• Candidates must possess valid authorization to work in the country where the position is located.
• Relocation assistance is not provided for this role.

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 .

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Our Benefits:

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Job Description:

He or she will work alongside the Senior Analyst and Associates in all aspects of the research process, from idea generation to modeling, including but not limited to the following:

• Write industry and company reports and company launch initiations
• Develop doctor/patient surveys and conduct doctor interviews to understand market dynamics, demand and future projection
• Build financial models to quantitatively analyze company valuations
• Demonstrate industry knowledge (such as regulatory, pricing) from early-stage study to market approval
• Build relationships and facilitate information flow with contacts at covered companies
• Seek out new, value-added and/or unusual sources of information
• Have ability to monitor news flow and highlight stock-impacting updates when the Senior Analyst is traveling
• Interact regularly with sales, trading and external clients and if performance on team is strong enough, take on coverage of individual names over time

This position has a requirement of being in the office 4 days per week.

Qualifications:

• Bachelor’s Degree or equivalent years of experience (Advanced degree in life science discipline is a plus)
• Ideal candidate would have 1-4 years of experience in biotech equity research, buy side experience or investment banking experience
• Strong writing and financial modeling skills is a must
• Must enjoy following the stock market and doing desktop and field research
• Academic background in a life science field and should understand economics, macroeconomic factors and policy
• Must have excellent communications skills, written and verbal
• Must have strong attention to detail, ability to multi-task
• Must work well in a collaborative team environment
• Must have strong desire to be a team player and view team’s success as a reflection of individual success

Job Description:

He or she will work alongside the Senior Analyst and Associates in all aspects of the research process, from idea generation to modeling, including but not limited to the following:

• Write industry and company reports and company launch initiations
• Develop doctor/patient surveys and conduct doctor interviews to understand market dynamics, demand and future projection
• Build financial models to quantitatively analyze company valuations
• Demonstrate industry knowledge (such as regulatory, pricing) from early-stage study to market approval
• Build relationships and facilitate information flow with contacts at covered companies
• Seek out new, value-added and/or unusual sources of information
• Have ability to monitor news flow and highlight stock-impacting updates when the Senior Analyst is traveling
• Interact regularly with sales, trading and external clients and if performance on team is strong enough, take on coverage of individual names over time

This is an in office position with requirement to be in office four days per week

Qualifications:

• Bachelor’s Degree or equivalent years of experience (Advanced degree in life science discipline is a plus)
• Ideal candidate would have 2+ years of experience in Therapeutics investment banking, large cap biotech equity research or buy side experience
• Strong writing and financial modeling skills is a must
• Must enjoy following the stock market and doing desktop and field research
• Academic background in a life science field and should understand economics, macroeconomic factors and policy
• Must have excellent communications skills, written and verbal
• Must have strong attention to detail, ability to multi-task
• Must work well in a collaborative team environment
• Must have strong desire to be a team player and view team’s success as a reflection of individual success
• Will on occasion be asked to participate in vetting of private and/or publicly traded companies for transaction purposes

Representative Projects:

• Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients

• Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions

• Develop AI models that shift foreign currency conversion “up the payment stream,” reducing reliability on beneficiary banks

• Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality

Who we’re looking for:

As aon the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.

Responsibilities:

• Frame abstract business problems using advanced data science and machine learning algorithms

• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions

• Own critical research and application development, strengthening the firm's competitive advantage

• Shape cross-team collaboration to advance the firm's data science capabilities

Required Skills:

• Minimum Bachelor’s degree in a quantitative field such as computer science, math, statistics, and physics

• Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)

• Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)

• Prior experience working in a highly technical data driven research environment

• Ability to communicate complex topics in a concise and coherent manner

Desired Skills:

• Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics

• Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning

• Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever

• Are excited to dive into new technical areas on a regular basis

This Is An Opportunity To

• Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.

• Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.

• Develop and deploy innovative models in the context of recommender systems.

• Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.

• Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day.

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.

• MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering

• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)

• Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems

• Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required

• Experience with using cloud services, big data pipelines and databases

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

The base pay range for this position is expected in the range below:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
  
• 4 years of experience with research agendas across multiple teams or projects.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  

• 2 years of experience in coding and leading multiple research efforts and influencing research direction.