Data Scientist jobs in United States, California, San Jose

This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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.

• 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

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 .

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

What You Will Accomplish

• 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

What You Will Bring

• 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 - $244,600

Experienced HireShift 1 (United States of America)Virtual US
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 12/23/2025

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

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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.

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