Research Scientist jobs in United States, California, San Francisco
PayPal Staff Data Scientist United States, California, San Jose
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Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
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 .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Staff AI Research Scientist United States, California, San Jose
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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 .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Sr Data Scientist United States, California, San Jose
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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.
Additional Responsibilities & Preferred Qualifications
-Strong analytical and problem-solving mindset, with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline
-4+ years of experience in Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning-Advanced proficiency in SQL and Python, with expertise in working with large-scale, complex datasets to derive actionable insights-Hands-on experience with modern data tools and platforms such as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable
-Exceptional communication and data storytelling skills, with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making-Prior work experience inanalytics space would be highly valued
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 .
The US national annual pay range for this role is $123,500 to $212,850
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Data Scientist United States, California, San Jose
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Job Description:
Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related field plus two years of experience in the job offered or a related occupation.
Special Skill Requirements:
Performing scalable analysis using R and Python [2 years]
Database query languages including SQL [2 years]
Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals [2 years]
Developing relevant metrics or KPIs to measure performance by product teams [2 years]
Debugging and monitoring for production services [2 years]
Experimentation techniques including A/B testing or simulation [1.5 years]
Quantitative modeling, including machine learning models, time series forecasting or casual impact analyses [1.5 years]
Data analysis or machine learning systems [2 years]
Additional Responsibilities & Preferred Qualifications
Salary:$174,304.00-243,500.00per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Staff Data Scientist United States, California, San Jose
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Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Preferred Qualification:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
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 .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Staff Data Scientist - Payments United States, California, San Jose
Share
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
Partner withProduct, Engineering, and Finance
causal inference and forecasting models
Design and operationalizeexperimentation frameworksto improve product performance and user engagement.
Develop andmaintainreusable data pipelines, embeddings, and feature librariesto accelerate model development.
Communicate insights and recommendations clearly to leadership, influencing strategic direction across teams.
expertiseincausal inference,experimentation, andmodel-driven decision-making.
inPython, SQL, and statisticalmodelingframeworks(e.g.,XGBoost, regression, time series, DML).
Experience in cloud environments (AWS, GCP) and analytics tools (Tableau,PySpark).
Strong stakeholder management and ability to communicate insights to non-technical audiences.
Experience leadingexperimentation and measurement strategiesin large-scale tech environments.
Experience in setting upAgentic workflowsfor automating data requests and root cause analysis
Background inproduct analytics and marketing measurement.
cross-functional collaborationwith product, engineering, and business stakeholders.
Experience mentoring data scientists and driving adoption of data-driven decision-making practices.
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 .
The US national annual pay range for this role is $152,500 to $262,350
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Staff Data Scientist United States, California, San Jose
Share
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
Bachelor’s or Master’s degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
5+ years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists.
Proficiency in databases, spreadsheets, and statistical tools , with advanced skills in SQL , data mining, and BigQuery analytics (Google Cloud) .
Extensive experience in experimentation , including designing, executing, and analyzing product or feature launches.
Expertise in synthesizing complex data into clear, actionable insights and narratives.
Experience working with large, multi-dimensional datasets and solving analytical challenges.
Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable.
Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis.
Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights.
Industry experience in payments, eCommerce, or financial services is a plus.
Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
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 .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
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 .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
