Data Analyst 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 Sr Analyst Data Analytics United States, California, San Jose
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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.
Additional Responsibilities & Preferred Qualifications
* 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 .
The US national annual pay range for this role is $76,500 to $126,500
Our Benefits:
Any general requests for consideration of your skills, please
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Ebay Senior Manager Data Science Analytics United States, California, San Jose
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Lead and inspire a high-performing team of data scientists and analysts to conduct sophisticated diagnostic analytics that uncover what drives the Global and U.S. business in particular.
Partner cross-functionally across all analytics domains (e.g. Ads, Shipping, and Focus Categories) to perform deep-dive analyses that explain business dynamics and surface actionable insights.
Serve as a trusted advisor to the U.S. Country Manager, providing strategic, data-driven insights that clarify performance trends and guide operational decisions.
Collaborate with Corporate Finance on strategic insights and presentations for the Board of Directors and Investor Relations, shaping how eBay communicates business performance and future opportunities.
Co-create with the Agentic Analytics Product team to prototype ground breaking AI and diagnostic applications, influencing the automation and intelligence roadmap that powers next-generation analytics.
Drive critical initiatives as both an executor and strategic thought partner, ensuring data science and analytics play a central role in eBay’s growth and transformation agenda.
Apply sophisticated analytics and AI techniques including simulations and experimental diagnostics to uncover emerging customer behaviors and new performance drivers.
Champion data-driven strategies that improve customer experience, and marketplace efficiency , directly impacting key business outcomes.
Supervise the analysis of large, sophisticated datasets to identify trends, patterns, and leading indicators that explain shifts in business and product performance.
Translate complexity into clarity , communicate analytical insights, implications, and strategic recommendations to senior leadership and cross-functional partners with precision and influence.
Cultivate a culture of curiosity, innovation, and continuous improvement , empowering your team to push the boundaries of what’s possible with data.
Stay ahead of the curve
Master’s in Data Science, Analytics, Statistics, Computer Science, or a related field.
Minimum of 10 years of experience in data science or analytics, with at least 3 years in a leadership role.
Consulting experience preferred
Consistent track record of using data science to drive significant business impact
Strong understanding of data science and analytics, predictive modeling, and sophisticated diagnostics techniques.
Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Outstanding leadership skills with the ability to empower and inspire a team.
Outstanding communication and interpersonal skills, with the ability to articulate insights and complex concepts to a non-technical audience.
Experience with big data technologies and tools (e.g., Hadoop, Spark, SQL) and programming languages (e.g., Python, R, Java).
The base pay range for this position is expected in the range below:
$183,200 - $244,600These jobs might be a good fit
EY Quantitative Analyst - FSRM QAS Banking United States, California, San Francisco
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Quantitative Analyst, Financial Services Risk Management - Quantitative Advisory Services - Banking Book - Financial Services Office (Manager) (Multiple Positions) (1653519), Ernst & Young U.S. LLP, San Francisco, CA.
Full time employment, Monday – Friday, 40-45 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 5 years of post-baccalaureate progressive quantitative analysis work experience.
Alternatively, must have a Master’s degree in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 4 years of quantitative analysis work experience.
Alternatively, must have a Ph.D. in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 2 years of quantitative analysis work experience.
Must have 2 years of experience with statistical and numerical techniques, or technical analytics, including regression analysis or machine learning.
Must have 2 years of experience communicating (written and oral) and interpreting technical concepts for technical and non-technical users.
Must have 2 years of experience in two of the following:
• broad credit risk modeling and related analytics
• retail modeling for at least one of the following: mortgage, credit card, or consumer loans
• wholesale credit modeling for C&I, CRE or related exposures
• credit loss forecasting for US GAAP, CECL or IFRS 9
• model development
• model validation
• advanced analytics
• quantitative analysis supporting consumer regulatory compliance
Must have 2 years of consulting (advisory services) work experience.
Must have 1 year of experience in one or more of the following:
• SAS or STATA
• R
• Python
• Matlab
Requires domestic and regional travel up to 30% to serve client needs.
Employer will accept any suitable combination of education, training, or experience.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on yourperformance and recognized for the value you bring to the business. The base salary for this job is $171,180.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
•Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.
•Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
•Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
•
Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
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Intel Vice President Data Center Group Silicon Design United States, California, San Jose
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Center Group.
The exponential growth of data and some of the fastest growing workloads such as artificial intelligence, high-performance computing and security are driving rapid evolution of data center technologies from the cloud to the network and to the edge. The Data Center Group serves the industry and our ecosystem partners with innovative hardware and software solutions that encompass CPU, GPU, FPGA, accelerators and XPU ingredients, while simultaneously evolving to deliver scalable systems that encompass compute, connectivity, memory, security, sustainability and other foundational platform technologies required to be efficiently scalable, easy for developers and deliver meaningful solutions for business outcomes.
Position Overview
market opportunities and drive revenue growth throughData Center product
Technical Leadership & Engineering Excellence
hardware engineering organization responsible for architecture, design, and development of IP blocks and System-on-Chip (SoC) integrated circuit products
Apply broad and deep technicalexpertisein microprocessor designmethodologyand approach for building IP blocks and microprocessors
Ensure alignment between process technology, architecture, design, SoC, software, and platform teams
Business Development & Customer Engagement
Develop and execute comprehensive business development strategies to expand Intel's silicon design footprint in target markets
Lead direct customer engagement initiatives to understand market requirements,identify
Build andmaintainstrategic relationships with key customers, partners, and industry stakeholders across the global SoC ecosystem
Collaborate with sales, marketing, and product teams to develop customer-specific solutions and go-to-market strategies
Drive revenue growth through strategic partnerships, licensing agreements, and custom silicon solutions
Strategic Market Leadership
Utilize deep industry acumen and competitive analysis to achieve and sustain competitive advantage and differentiation for Intel
Engage and influence a broad array of stakeholders, customers, and suppliers across Intel and the broader SoC ecosystem
emerging market trends and customer needs to inform product roadmap and investment decisions
Represent Intel at industry conferences, customer meetings, and strategic partner engagements
Organizational Leadership
Partner effectively with alarge, global engineering teams, providing direction, support, and fostering a healthy organizational culture
Ensure program execution excellence and that the organization consistently meets or exceeds commitments
Manage complex partner relationships with internal and external customers
Drive cross-functional collaboration to deliver integrated solutions that meet customer requirements
Technical Expertise
expertisein microprocessor architecture, SoC design, and IP development methodologies
Comprehensive understanding of semiconductor design flows, from architecture through manufacturing
Strong knowledge of industry standards, protocols, and emerging technologies in the SoC ecosystem
Experience with advanced process technologies and their impact on design and business strategies
Business & Leadership Skills
Demonstrated success in driving significant revenue growth through customer engagement and business development
Proven ability to build andmaintain
track recordofidentifyingand capturing new market opportunities in the semiconductor space
Experience in managing P&L responsibility and driving business unit profitability
Excellent negotiation skills with experience in complex licensing and partnership agreements
Core Competencies
Exceptional communication and presentation skills with ability to engage technical and business audiences
Strong analytical and strategic thinking capabilities with data-driven decision-making approach
Proven ability to influence and align diverse stakeholders across complex, matrixed organizations
Experience working in global, multicultural environments with distributed teams
Strong program management skills withtrack recordof delivering complex, multi-year engineering programs on time and within budget
Qualifications
BS Degree in Electrical Engineering, Computer Engineering, or related technical field
15+ years of progressive leadership experience in semiconductor industry with focus on silicon design and development
10+ years of executive leadership experience managing large, global engineering organizations (500+ engineers)
track recordof 8+ years in business development, customer engagement, or commercial roles within the semiconductor industry
Preferred Qualifications
experience in customer-facing roles with major OEMs, system integrators, or cloud service providers
Background in emerging technologies such as AI/ML accelerators, automotive silicon, or edge computing solutions
Experience with Intel's product portfolio and ecosystem partnerships
International business development experience, particularly in Asia-Pacific markets
Track recordof successful M&A integration or joint venture management
Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US: 999.00 USD - 999,999.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 12/23/2025These jobs might be a good fit
Unity Senior Product Manager Data United States, California, San Francisco
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- Define data flow from data generation or ingestion, through transformation and storage, to consumption for machine-learning models or analysis.
- Work to deeply understand the data needs of internal customers and collaborate with engineering on the best ways to execute on those requirements.
- Define and articulate a clear vision and strategy for the data products you manage, aligning with Unity’s overall objectives.
- Translate complex requirements of large data initiatives into clear actionable items.
- Prioritize data initiatives across a wide range of internal stakeholders.
- Lead and motivate a cross functional team of engineers and analysts.
- Experience as a data product manager working with large volumes of data at scale.
- Exceptional communication and influence skills with the ability to work with cross functional stakeholders across the organization.
- Deep domain knowledge in data modeling, database design, and data lakehouse architectures with the capability to drive technical decisions with engineering colleagues.
- Strong analytical and data driven decision making skills.
- Knowledge and hands-on SQL experience.
- A demonstrated track record of delivering results through shipping products.
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$205,000 USDThese 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
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
