Talent.com

Data visualization Jobs in Santa Clara, CA

Create a job alert for this search

Data visualization • santa clara ca

Last updated: 1 day ago

Sr Data Scientist

PayPalSan Jose, California, United States of America
Full-time

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 integri...Show more

Data Scientist, AWS Quick Data

Amazon.com Services LLCSanta Clara, California, USA
Full-time

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge.Combining generative AI-powered search, deep research capabilities, intelligent ...Show more

Data Engineer

PDS Inc, LLCSan Jose, CA, US
Full-time
Quick Apply

Make your impact within a rapidly growing Fintech Company.The Data Operations team builds capabilities and owns practices that enable seamless data usage across the company.The team collaborates wi...Show more

UI Data Visualization Engineer

AdobeSan Jose
Full-time

Changing the world through digital experiences is what Adobe’s all about.We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital exper...Show more

Solutions Architect – Professional Visualization

NVIDIASanta Clara, CA, US
Remote
Full-time

NVIDIA is seeking an outstanding Solutions Architect to support customers that are building solutions with our latest graphics and visualization technologies.At NVIDIA, our solutions architects wor...Show more

Data Analytics

Tror AI for everyoneSanta Clara, CA, United States
Full-time
Quick Apply

Job Title: Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks...Show more

Data Engineer

eTeam IncSanta Clara, California, United States
Full-time
Quick Apply

Job Description: Data Engineer.We are seeking a skilled Data Application Engineer to design, build, and maintain data-driven applications and pipelines that enable seamless data integration, transf...Show more

Data Engineer

AIT Global inc.San Jose, CA, United States
Full-time
Quick Apply

Job Title: Data Engineer Location: San Jose, CA Responsibilities: Show more

Data Architect I

Axelon Services CorporationSan Jose, CA, US
Full-time

Title: Data and Cloud Solutions Architect Location: San Jose, CA (100% on-site) Pay: $65/hr Job Description: The Data and Cloud Solutions Architect will be a key contributor to designing, evolving,...Show more

Data Center Techncian

Sunrise SystemsSan Jose, California, United States
Temporary
Quick Apply

Title - Data Center Technician.Duration - 6+Months Contract (possible extension).Our Team is currently seeking a strong Data Center Technician to support both company-specific servers as well as da...Show more

Data Scientist - Multimedia

TikTokSan Jose
Full-time

The Multimedia Data Scientist team at TikTok focuses on optimizing the app experience for users through data-driven solutions.Collaborating with various teams to enhance content creation journeys, ...Show more

Data Engineer - Data Platform

TikTokSan Jose
Full-time

As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.You'll have the opportunity to gain hands-on e...Show more

Data Scientist, AWS Quick Data

Amazon Development Center U.S., Inc.Santa Clara, California, USA
Full-time

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge.Combining generative AI-powered search, deep research capabilities, intelligent ...Show more

Technical Product Owner (Dashboard & Visualization Platforms)

US Tech SolutionsMountain View, CA
Full-time

Location: Mountain View, CA (Hybrid).We are seeking a Technical Product Owner (Dashboard & Visualization Platforms) to support the development and management of internal insights dashboards across ...Show more

Data Scientist

TradeJobsWorkforce95118 San Jose, CA, US
Full-time

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical tech...Show more

 • Promoted

Data Scientist

TradeJobsWorkForce95164 San Jose, CA, US
Full-time

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techn...Show more

 • Promoted

Data Platform Architect

JobotSan Jose, California, US
Full-time

Join the fastest growing data companies going! Awesome opportunity for growth.This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending...Show more

Data Engineer

Stellent IT LLCCupertino, CA, United States
Full-time
Quick Apply

Title: Data Engineer [Python, Spark, API, Data Pipelines] Location: Cupertino, CA About the job Data Engineer [Python, Spark, API, Data Pipelines] Contract On-Site at Cupertino, CA &l...Show more

Data Science & Visualization Engineer

Tata Consultancy ServicesCupertino, CA
Full-time

LI-AS3 Roles & Responsibilities: "Looking for an engineer with strong Python/R experience but also some skill with Swift and building iOS apps.The focus is still Python/R with touch of Swift/iOS" •...Show more

People also ask
Sr Data Scientist

Sr Data Scientist

PayPalSan Jose, California, United States of America
30+ days ago
Job type
  • Full-time
Job description

Description

:

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.

Minimum Qualifications:

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

Additional Responsibilities & Preferred Qualifications:

Key Responsibilities

  • Analyze and optimize merchant integration performance, focusing on: Checkout conversion User behavioral lifecycle Merchant interactions with payment solutions

  • Develop deep understanding of API- and SDK-based integrations to evaluate performance and identify friction points

  • Design and execute experimentation frameworks: A/B testing Causal inference models Incrementality measurement

  • Define and track key performance metrics (KPIs) across user and merchant journeys

  • Partner with product, engineering, and business teams to translate data insights into actionable improvements

  • Build scalable data models and pipelines to support analytics and experimentation

  • Apply modern AI techniques (e.g., LLMs) to enhance: User behavior analysis Data interpretation Internal tooling and workflows

Required Skills & Qualifications

Domain & Systems Understanding

  • Experience working with API-driven systems and SDK integrations

  • Ability to analyze end-to-end product flows, especially in web or mobile checkout environments

  • Strong understanding of user behavior and funnel analysis

Data Science & Statistical Expertise

  • Strong foundation in: Probability and statistics Hypothesis testing and experimentation Causal inference and experimental design

  • Proven experience designing and analyzing A/B tests and observational studies

AI / Modern Data Science Tools

  • Experience with: Prompt engineering for LLM-based applications RAG (Retrieval-Augmented Generation) architectures Vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) Frameworks such as LangChain, LlamaIndex, or similar

Programming & System Design

  • Strong proficiency in Python

  • Experience with: ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Data processing (Pandas, NumPy, Spark) Backend/API development (FastAPI or similar)

  • Solid understanding of distributed systems and scalable architecture

Preferred Qualifications

  • Experience in payments, e-commerce, or platform ecosystems

  • Familiarity with merchant onboarding or integration workflows

  • Experience working with large-scale behavioral data

  • Exposure to LLMOps or production AI systems

What Success Looks Like

  • Improved checkout conversion and user engagement metrics

  • Clear identification of integration bottlenecks and optimization opportunities

  • Statistically rigorous insights that drive product and business decisions

  • Effective use of AI tools to accelerate analysis and innovation

Subsidiary:

PayPal

Travel Percent:

0

-

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, California | ($143,500.00 - $212,850.00 Annually)

Additional Location(s) | Pay Range:

No other locations are assigned to this requisition currently.Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit .

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.