Research Analyst jobs in United States, California, San Francisco

Essential Responsibilities:

• Lead advanced data analysis projects, applying statistical models and predictive techniques.
• Mentor junior analysts and provide guidance on best practices in analytics.
• Develop actionable insights and recommendations for senior business stakeholders.
• Design, build, and maintain advanced dashboards and data visualizations.
• Partner with business leaders to identify new opportunities for data-driven improvements.

Expected Qualifications:

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

* ideally candidate should have 5yrs - 8 yrs of full time industry experience

* solid understand of business domains and lifecycle

* able to act and solve quickly
* solid in SQL and Python

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:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Key Responsibilities:

• Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques

• Design novel architectures and training methodologies for domain-specific language models in financial services

• Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale

• Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance

• Deploy foundation models into production environments to drive business insights and enhance customer experiences

• Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions

• Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions

• Mentor junior researchers and contribute to technical strategy for foundation model initiatives

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent

• 1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)

• Deep expertise in transformer architectures, attention mechanisms, and modern training techniques

• Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)

• Strong background in NLP, deep learning, and statistical machine learning

• Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)

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:

• Engage with team members to contribute to pricing solutions and suggest efficiencies.
• Assist in the collection and analysis of pricing data to support decision-making processes.
• Follow established processes and procedures to ensure accurate pricing implementation.
• Collaborate with peers to share insights and improve overall pricing strategies.
• Participate in team meetings to discuss pricing initiatives and provide input on projects.

Expected Qualifications:

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

Preferred Qualifications:

• 3+ years relevant experience in finance, pricing, payments, strategy, banking, consulting, investor relations, equity research, or equivalent experience.
• Bachelor’s degree.
• Strong financial analytical skills. Excel is required, SQL is preferred but not required.
• Strong communication and presentation skills.
• Proactive, resourceful and demonstrate intellectual curiosity.

Additional Responsibilities

• Develop reports and presentations to communicate pricing strategies and outcomes to stakeholders.
• Explore alternative solutions to pricing challenges and recommend appropriate actions.
• Influence sales leadership and other cross-functional teams in thinking through complex business models of extending our value props.
• Build financial & analytical nuances across the dimensions of customer segments, products, and markets to find the right balance of trade.
• Be fully immersed in supporting the iterations of deal negotiation as a trusted partner to the sales team – sales pitches, term sheets and contracts, leadership presentations, etc.
• Build and maintain relationships with key stakeholders within sales, product, finance, and other functional teams. Engage in the cadence/process of interactions, be a team player, and a positive influence on others.

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:

• Support planning and forecasting processes
• Review business performance on regular cadences (weekly, monthly,quarterly)Collaboratewith stakeholders to gather inputs and summarize insights
• Produce executive-level presentations
• Work closely with the finance and technical teams to drive process and system improvements
• Facilitate discussions with various stakeholders, manage expectations, and collaborate cross-functionally
• Consult with finance leads to review and discuss key issues, risks, and dependencies for assigned initiatives
• Document and escalate potential risks/issues, assist in developing mitigation strategies, and support their implementation

Expected Qualifications:

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

Key responsibilities of this role are:

• Support planning and forecasting for PayPal Transaction Loss and work with Risk & BI teams to produce weekly, monthly and quarterly reports, review quarterly forecasts and annual budgets acrossproducts/segments/regions.
• Play a key role during the month-end and quarter-end close cycles.
• Help maintain the Forecast Reserve Adequacy Model (FRAMe) for PayPal and its main cross-properties, ensuring appropriate reserve levels and adherence to audit/controllership principles.
• Partner with Risk BI/GOAL team to transform our forecasting and reporting capabilities towards a customer-based view and while providing proactive and action-oriented Transaction Loss insights to BU Leadership & BU FP&A partners.
• Derive actionable insights based on quantitative and qualitative research, discover new opportunities and identify the gaps to grow and optimize business through deep dive analysis on very large quantities of data.
• Support Finance process and system improvements, partnering with global FP&A/Analytics and technology teams.

• Successfully collaborate with Transaction Loss FP&A colleagues, and the broader FP&A community including BU & Global Markets FP&A.
• Take part in process transformation workstreams aiming at creating more robust processes in line with the company-wide effort.

Preferred Qualifications:

• Bachelor's or Master’s degree in Finance, Accounting, Economics, Engineering or related field.
• Experience gained in FP&A, strategic finance, investment banking, management consulting or risk management; ideally in fast-paced, agile and growth environments.
• Demonstrated experience in financial modeling, forecasting, and analysis. Strong Excel and PowerPoint skills. Experience with database products is a plus (i.e. Essbase, SQL, Python, SAP).
• Thorough understanding and experience of working with large customer and transactional datasets and true desire to understand the drivers of the business.
• Ability to effectively manage projects/ results oriented.
• Strong communication skills and experience distilling and presenting complex financial analyses into action-oriented recommendations.
• Strong interpersonal and teamwork skills: ability to work across functions, organization & geographies and influence peers and more senior colleagues.

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 Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Experience in designing and building optimization, simulation, and probabilistic decision-making models.
• Experience in designing and building statistical models or physical models for energy consumption.
• Experience in the computer hardware industry.