Inventory Data Analyst/Data Visualization Specialist (No C2C/No Sponsorship)
Randstad USA 4.6
Data science internship job in San Francisco, CA
We are seeking a Data Analyst and Data Visualization Specialist to support the Merchandise Planning and Inventory Management (MPIM) data analytics and reporting team. The ideal candidate should be an excellent storyteller and a strong technical contributor with experience in solving business problems using data-driven tools. The responsibilities include delivering a suite of analytical products such as analyses, dashboards, insights, and recommendations. Collecting, analyzing, and presenting data to enhance strategic decision-making and tracking the benefits of data products are key aspects of the role. A high level of curiosity about the business and the ability to uncover impactful insights from data are essential. Effectively communicating these insights is essential for building confidence and enabling decisions that drive business value.
About the Job
• Conduct analysis on complex retail data, measure and track data created by data products, and convert them into key KPI metrics.
• Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support.
• Create dashboards to track the adoption and business impact of launched features and data products.
• Dive deep into complex business problems, provide insights, and partner with cross-functional teams on implementation.
• Collaborate with datascience, data analytics, and product managers on planning, goal setting, and prioritization.
• Work with data and engineering teams to improve data quality, data analysis, and business debugging.
• Bring data to life through storytelling in a clear and meaningful way to audiences with varying levels of technical expertise, informing key strategic decisions.
• Promote a culture of data-driven technical excellence, ownership, and collaboration.
• Optimize and standardize reporting through automation
About You
• Over 3 years of professional experience in analyzing complex data, drawing conclusions, and making recommendations.
• More than 3 years of applied data visualization experience, with proficiency in Looker or PowerBI. • At least 3 years of experience in extracting and manipulating large data sets from various relational databases using SQL (experience with Google BigQuery or MSsql).
• Experience with data integration tools such as Data Fusion, Alteryx, or Dataiku is a plus.
• Coding skills in at least one statistical or programming language (preferably Python or R) to import, summarize, and analyze data is a plus.
• Hands-on experience working with big data, such as sales, inventory management, and planning; retail knowledge is an advantage.
• Ability to translate and present complex analysis in executive summaries, with clear and effective written and verbal communication, and strong interpersonal skills.
• Strong problem-solving abilities.
• A Bachelor's degree in Economics, Statistics, DataScience, or Data Engineering (a Master's degree is a plus) or equivalent experience.
$69k-107k yearly est. 2d ago
Staff Data Scientist - Post Sales
Harnham
Data science internship job in San Francisco, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our datascience organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in datascience or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
$200k-250k yearly 2d ago
Data Analyst
Aaratech
Data science internship job in San Francisco, CA
Job Title: Data Analyst - CRM / Salesforce
🏢 Company: Aaratech Inc
🛑 Eligibility: Only U.S. Citizens and Green Card holders are eligible.
Please note that we do not offer visa sponsorship.
Aaratech Inc. is seeking a highly analytical and detail-driven Data Analyst - CRM / Salesforce to join our growing team. The ideal candidate will analyze customer and sales data to improve business performance and customer engagement.
Key Responsibilities:
🔹 Data Collection & Management
Gather, clean, and manage CRM and Salesforce datasets.
Ensure data accuracy and consistency across systems.
🔹 Data Analysis
Analyze sales pipelines, customer engagement, and performance metrics.
Support forecasting and business planning.
🔹 Reporting & Visualization
Develop dashboards and reports using Salesforce, Tableau, or Power BI.
Present insights to sales and marketing stakeholders.
🔹 Team Collaboration
Collaborate with sales, marketing, and business teams to deliver analytics solutions.
🔹 Tool Utilization
Use SQL, Excel, Salesforce reports, and BI tools for analysis.
🔹 Data Governance
Maintain CRM data quality and governance standards.
Qualifications:
✅ Bachelor's degree in DataScience, Statistics, Computer Science, or a related field
✅ Minimum of 2 years of experience in data analysis
✅ Proficiency in SQL and Microsoft Excel
✅ Experience with Tableau, Power BI, or Salesforce reporting
✅ Strong analytical and communication skills
$71k-107k yearly est. 1d ago
BI Data Analyst
PTR Global
Data science internship job in Sunnyvale, CA
BI Data Analyst (BI Tableau, SQL, Python)
**Prefer candidates who can work on W2** (No for C2C arrangements)
Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks)
Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)
Long term contract
Direct client opportunity
No mid layer / No Implementation partners are Involved
Job Description:
Clients focus more on Business Intelligence skills, less complex analysis.
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
Excellent communication is essential
Requires working knowledge of probability theory and statistical analysis.
This role will:
Use Tableau to create visualizations to be used in interactive dashboards and presentations.
Use SQL to manipulate and prepare data
Use Python to manipulate and prepare data; create visualizations; analyze data.
Require a working knowledge of formal statistical analysis and causal modeling.
Require excellent communication skills
Skill Sets - Experience - Preference
Tableau - 5-10 years - Is Required
SQL - 5-10 years - Is Required
Python - 5-10 years - Is Required
Statistical analysis - 5-10 years - Is Required
Verbal Communication - 5-10 years - Is Required
Written Communication - 5-10 years - Is Required
Attention to Detail - 5-10 years - Is Required
Pay Range: $65/hr - $70/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************
$65 hourly 2d ago
Data Visualization Analyst - Tableau/Qlik Sense
Concord 4.2
Data science internship job in San Jose, CA
Employment type: 6-month contract. Possibility of renewal depending on performance and business needs.
Compensation: $45/hr W-2 Hourly or $55/hr on C2C. Compensation will be determined based on relevant experience, skills, and overall qualifications.
Location: Open to remote in the US. Prefer candidates located in the Bay Area, LA, and San Diego, for occasional team events or office visits.
Requirements: must be authorized to work legally in the US without sponsorship, now or in the future.
About Us
Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data.
We are purpose-built, merging the industry's top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience, and technical platform integration, automation & security engineering.
About the Role
We are looking for a highly skilled Business Intelligence professional to design, build, and maintain data visualizations, dashboards, and analytics solutions that drive meaningful business insights. This role is ideal for someone who enjoys working with large and complex data sets, has strong BI tool experience (especially Qlik Sense or Tableau), and can translate data into clear and actionable information for business stakeholders.
What You Will Be Doing
Build, maintain, and clearly communicate reporting, visualizations, and dashboards to provide actionable business insights.
Own and manage a centralized repository of reusable data visualization templates, dashboards, and views.
Proactively identify opportunities to improve data quality and availability; build pipelines or perform ETL when needed.
Gather, clean, consolidate, and productionize large data sets from multiple data sources to support dashboards and broader analytics needs.
Perform ad-hoc and deep-dive analyses to support stakeholders and business initiatives.
What We Are Looking For
Significant, hands-on experience developing visual analytics solutions using modern BI tools. Tableau or Qlik Sense is required; Qlik Sense is strongly preferred.
Solid to advanced SQL skills, with experience working with data warehouses such as Databricks, Redshift, SparkSQL, or Athena; must be able to build segmentation and aggregation queries from scratch.
Demonstrated ability to manage multiple priorities and deliver high-quality work under tight deadlines.
Ability to interpret business questions and translate them into data-driven analyses.
Strong analytical and problem-solving skills with attention to detail.
Comfortable working with new technologies and learning on the go.
Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Economics, or related discipline).
What We Offer (W-2 Employment)
Health, Dental, and Vision Insurance - Comprehensive coverage to support your overall well-being.
Employer Contributions to Health Savings Accounts (HSA) - For employees enrolled in High Deductible Health Plans, Concord contributes toward your HSA.
Flexible Spending Accounts (FSA) - Options for healthcare and dependent care expenses, plus a Lifestyle Spending Account (LSA) for wellness and personal development.
Disability Insurance - Short-term (up to 12 weeks) and long-term coverage, fully paid by the employer.
Life and AD&D Insurance - Employer-provided coverage of with options for additional voluntary coverage.
Employee Assistance Program (EAP) - Support for legal, financial, and personal challenges.
401(k) Retirement Savings - 1% employer match.
Career Growth Opportunities - Pathways for advancement and skill development.
Team Engagement Activities - Regular team-building events and company-sponsored activities to foster collaboration and connection.
$45-55 hourly 1d ago
Junior Data Analyst
Cypress HCM 3.8
Data science internship job in San Francisco, CA
We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees.
Responsibilities:
Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies.
Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards)
Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams.
Generate recurring utilization, ridership, parking, and usage reports
Support documentation of operational workflows and partner playbooks
Collaborate with field leads and workplace teams to ensure systems are functioning correctly
Required Skills:
2+ years of experience in an Analyst or Analytical role
Familiarity with enterprise platforms
Excellent analytical & data skills
Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling)
Excellent organizational and documentation skills
Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision.
Preferred Qualifications:
Experience with budgeting or contract tracking tools
Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination.
Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations.
Pay Rate:
$28-$32.50
** Onsite expectations are 5 days a week in our San Francisco office
$28-32.5 hourly 5d ago
Data Scientist Intern (TikTok-Product-Data Science)-2026 Summer (BS/MS)
Tiktok 4.4
Data science internship job in San Jose, CA
Team Introduction: TikTok-DataScience Team is responsible for all datascience and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.
Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below:
* May 11th, 2026
* May 18th, 2026
* May 26th, 2026
* June 8th, 2026
* June 22nd, 2026
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
* Define success metrics to measure product growth and identify problems through monitoring or forecasting
* Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations
* Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis
* Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications:
* Currently pursuing a Bachelor's, or Master's degree in Mathematics, Statistics, Economics, Computer Science, DataScience etc relevant technical field, or equivalent practical experience
* Proficient in data querying languages and at least one scripting language (e.g. Python,R)
* Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods.
* Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well
* Must be able to commit to a 12-week full-time work period during Summer 2026
Preferred Qualifications:
* Internship experience in datascience
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************
$42k-64k yearly est. 60d+ ago
AIML - Machine Learning Researcher, Data and ML Innovation
Apple Inc. 4.8
Data science internship job in Santa Clara, CA
The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities - Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Excellent data analytical skills Good interpersonal skills and team player PhD preferred
PhD, MS or equivalent experience Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C++
$95k-133k yearly est. 60d+ ago
Data Scientist Intern
Corsair Memory 4.4
Data science internship job in Milpitas, CA
YOU WILL:
Collect, clean and analyze datasets from multiple sources, including in-house and market data.
Apply LLM, AI tools and machine learning techniques to support predictive and exploratory analysis (EDA).
Create dashboards and visual reports in Power BI to present insights effectively.
Use version control tools to manage and collaborate on datascience projects.
Communicate findings and recommendations through clear, data-driven storytelling.
YOU ARE:
Passionate about data analytics, machine learning, AI and the gaming industry.
Proficient in Python, SQL and Power BI, with solid grasp of machine learning applications, algorithm programming, data manipulation and visualization.
Comfortable using Bitbucket and Git, and collaborating effectively in a team-based environment.
Curious, a fast learner, and detail-oriented, with a strong drive to explore innovative, data-driven solutions.
Comfortable working across time zones with Asia, and Mandarin proficiency (spoken and written) is a plus.
You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education.
Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13
th
, 2026 OR June 16
th
- September 13
th
, 2026)
Legally authorized to work in the United States
WHO WE ARE:
CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best.
CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware.
This position is onsite in Milpitas, CA and not open to remote status at this time.
This internship includes a base pay rate of $30 per hour, holiday pay, and perks access to the onsite fitness center.
We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, DataScience & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.
Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch.
Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, DataScience & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering
$103k-149k yearly est. 12d ago
2026 Intern - People Data Scientist
Adobe Systems Incorporated 4.8
Data science internship job in San Francisco, CA
Our Company 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 experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
We're seeking a curious and versatile intern to join our People DataScience team within People Analytics. This role offers a unique opportunity to work at the intersection of AI development and user experience research, helping us build and refine AI-powered tools (bots and agents) that transform how our organization works with people data.
You'll split your time between technical development and user research, giving you hands-on experience in both building AI solutions and understanding how real users interact with them. This is an ideal role for someone who wants to develop technical skills while maintaining a strong focus on human-centered design.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You'll Do
AI Tool Development
* Build and iterate on AI-powered bots and agents that help scale people analytics solutions to enable people analytics team members and internal stakeholders (e.g. HRBPs, recruiters, leaders)
* Develop prototypes and proof-of-concepts for new AI applications in HR and people analytics
* Contribute to the technical implementation of conversational AI tools, workflows, and automation
* Work with LLMs and agent frameworks to create solutions that make people data more accessible
User Testing & Enablement
* Design and conduct user testing sessions to evaluate AI tool effectiveness and usability
* Observe and document how end users interact with AI agents, identifying friction points and opportunities
* Gather qualitative and quantitative feedback on user experience with AI tools
* Synthesize findings into actionable insights and recommendations for product and enablement improvements
What You Need to Succeed
* Currently enrolled full time and pursuing a Masters or PhD degree in Industrial Organizational Psychology, Cognitive Science, DataScience, Human-Computer Interaction or related field; or equivalent degree required with an expected graduation date of December 2026- June 2027
* Ability to participate in a full time internship between May-September
* Proficiency in Python or R, and SQL
* Familiarity with large language models (LLMs) and agentic AI
* HR relevant domain expertise (e.g. employee experience, surveys, performance, selection)
* Strong interest in user experience and human-centered design principles
* Excellent communication skills with ability to translate technical concepts for non-technical audiences
* Comfortable switching between technical development work and user-facing research activities
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
$45-55 hourly 60d+ ago
Digital Technology (DT) - Associate Data Informatics Analyst Intern
ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.
Introduction
We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites.
Background Information
Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions.
Your Assignment:
The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements.
Research AI methods applicable to data processing and automation.
Analyze current workflows and identify areas for improvement.
Develop prototypes or proof-of-concept solutions using AI tools and frameworks.
Document findings and present results to the team.
Requirements:
Minimum 60 hours completed towards a Bachelor's degree in an Engineering field and an expected graduation date of December 2026 or May 2027.with experience in working with data analysis tools and techniques.
Problem Statement:
Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes.
What Makes This Internship Interesting:
You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations.
The current base annual hourly range for this role is currently $18.00 - $48.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Request an Accommodation
ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process.
Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
Job Description
This internship role will be based out of Headquarters in Mountain View, California.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are seeking datascience interns to work on our rich datasets, encompassing text, graphs, and user interactions. Join us to tackle real-world problems through cutting-edge applied research, focusing on experimentation, causal inference, and machine learning. You will have the opportunity to build models to advance our understanding of ecosystem, develop insights through data mining and analytics, and apply advanced algorithms to improve measurement and recommendations. This role is ideal for those with a passion for translating data into impactful solutions and building scalable, data-driven insights and systems.
Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later.
Our internships are 12 weeks in length and will have the option of two intern sessions
May 26th, 2026 - August 14th, 2026
June 15th, 2026 - September 4th, 2026
Responsibilities
Analyze large-scale structured and unstructured data to gain actionable insights, identify patterns, and interpret user behaviors.
Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value
Explore vast datasets to discover relevant features and attributes that can improve the performance of existing models. Extract valuable information from unstructured data sources and apply feature engineering techniques to enhance model effectiveness. Continuously optimize and fine-tune models to meet business objectives and user expectations.
Initiate and drive projects to completion independently with production quality code and thorough documentation
Qualifications
Basic Qualifications
Currently pursuing a PhD in computer science, statistics, mathematics, machine learning, or related technical field and returning to the program after the completion of the internship
Research experience related to one of the following domains: Experimentation and causal inference, Machine Learning, Differential Privacy, Forecasting, Econometrics, Operations Research, or related area, with publications in conferences.
Hands-on experience with machine learning, data mining, or statistics
Preferred Qualifications
Understanding of common programming languages used in DataScience , such as Python, Java, C++, and R
Experience with SQL/Relational databases
Suggested Skills
Machine Learning
Research
Causal Inference
As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $62 to $75. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Additional Information
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************
$62-75 hourly 12d ago
Data Analyst Junior and Mid
Remote Career 4.1
Data science internship job in San Francisco, CA
Expertise in SQL skills to profile the data.
Analyse, Profile and systematically present the data for Business and management team understanding.
ETL development and Data Migration tasks
Interpreting the functional aspect of data & reporting aspect of data.
Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source.
Identifying patterns and trends in data sets
Working alongside teams within the business, Solution team or the Technical team to establish business needs.
Documenting the data mapping rules for migration.
Skills and experience
Skills-
1+ years of experience in Data Analysis & Development experience Junior role
3+ years of experience in Data Analysis & Development experience Mid role
Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes
Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions.
You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders.
Experience in Health Cover and insurance domain desirable not mandatory.
Qualification-
Relevant degree in IT industry
Certification in Relevant Technologies
$65k-93k yearly est. 60d+ ago
Jr. Data Analyst
Artech Information System 4.8
Data science internship job in Walnut Creek, CA
Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.
Job Description
Position: Jr. Data Analyst
Duration: 12+ Months
Location: Walnut Creek, CA
Interview Type: In-person
The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation.
Education: Bachelor's Required
Minimum number of years of experience required: 4 years
Top 3 - 5 Daily responsibilities
· Gather report requirements from key stakeholders and manage their expectations accordingly
· Develop and delivery new reporting capabilities, including ad-hoc requests
· Provide coherent data analysis thru clear and concise dashboards
· Design and develop end-to-end ETLs based on business needs
Top 3 - 5 Required Skills
· Six months to a year experience with Tableau Desktop
· 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc)
· 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding)
· MS Excel high level of proficiency
Desired skills
· Basic knowledge of Microsoft Windows Server 2008 R2
· Some basic experience on Microsoft SharePoint 2013
· Previous hands-on experience building reports out of BMC Remedy data base / data mart
Soft Skills
· Ability to work on a team and work towards team goals
· Comfortable working on a virtual team
· Good listening skills: Ability to work with others to solicit and understand business requirements
· A track record of innovation / accomplishments
Additional Information
For more information, Please contact
Shubham Rastogi
**************
*********************************
$55k-77k yearly est. Easy Apply 60d+ ago
Data Analyst Intern, application via RippleMatch
Ripplematch Internships 3.9
Data science internship job in San Francisco, CA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in DataScience, Statistics, Computer Science, Economics, or a related field.
Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques.
Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar).
Ability to interpret complex data sets and provide actionable insights.
Excellent problem-solving skills and attention to detail.
Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
Strong communication and interpersonal skills, with the ability to collaborate effectively with team members.
Eagerness to learn and apply new techniques and tools in the field of data analysis.
$43k-72k yearly est. Auto-Apply 48d ago
Research, Pre-Training Data
Thinking MacHines Lab
Data science internship job in San Francisco, CA
Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You'll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance.
You'll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It's ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who's excited by the challenge of shaping frontier AI.
This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You'll Do
Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data.
Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources.
Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly.
Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use.
Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior.
Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.
Skills and Qualifications
Minimum qualifications:
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Clarity in communication, an ability to explain complex technical concepts in writing.
Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs.
Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets.
Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models.
Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation.
Contributions to open datasets, research publications, or data tooling.
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience.
Logistics
Location: This role is based in San Francisco, California.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
$58k-87k yearly est. Auto-Apply 38d ago
Healthcare Research Data Annotator
Labelbox 4.3
Data science internship job in San Francisco, CA
Remote-first labeling and verification of research datasets, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets.
How much does a data science internship earn in San Francisco, CA?
The average data science internship in San Francisco, CA earns between $37,000 and $139,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.
Average data science internship salary in San Francisco, CA
$72,000
What are the biggest employers of Data Science Interns in San Francisco, CA?
The biggest employers of Data Science Interns in San Francisco, CA are: