Research Data Analyst 3 or 4 Oakland, CA, Job ID 80657
Data science internship job in Oakland, CA
The University of California Agriculture and Natural Resources (UC ANR) seeks a Financial Data Analyst (classified as Research Data Analyst 4) to develop, maintain, and optimize financial software solutions that support the Division's financial operations. UC ANR is a complex organization with operations in 58 county offices, three campuses, and nine research and extension centers. As the land-grant arm of the UC system, ANR manages over $300 million in funding and employs over 1,600 academic and staff personnel.
The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets from multiple enterprise sources.
This role will collaborate with Resource Planning and Management, Financial Services, IT, and administrative teams to customize and implement applications that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution.
This position is a contract appointment that is 100% fixed, and ends three years from date of hire with the possibility of extension if funding permits.
This position is posted as a Research Data Analyst 4 but a Research Data Analyst 3 may be considered depending on the level of experience of the hired applicant.
The home department is Resource, Planning & Management. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University.
Pay Scale:
Research Data Analyst 3: $88,900.00/year to $126,400.00/year
Research Data Analyst 4: $109,200.00/year to $158,500.00/year
Job Posting Close Date: This job is open until filled. The first application review date will be 9/8/2025.
Key Responsibilities:
25%
Financial Data Integration & Reporting
Create and maintain scripts, queries, and reports that integrate data from multiple systems to support cross-functional financial analysis.
Build automated tools to extract, clean, and analyze large financial datasets from Oracle, Cognos, and other university financial systems.
Translate complex reporting and analysis needs into scalable, user-friendly dashboards and visualizations using tools such as Tableau, Cognos, or Power BI.
20%
Financial Application Design & Enhancement
Design and enhance financial applications that support budgeting, forecasting, and reporting within a university financial ecosystem.
Implement financial models and process automation solutions to improve operational efficiency across departments.
15%
Process Improvement & Operational Efficiency
Improve speed, accuracy, and efficiency of financial calculations and reporting systems.
Contribute to continuous improvement initiatives with university finance and IT stakeholders.
15%
Compliance & Risk Management
Ensure the use of all financial applications complies with university policies, state and federal regulations (GAAP, IFRS, OMB Uniform Guidance), and cybersecurity standards
15%
Technical Support & Issue Resolution
Diagnose and resolve system issues, provide technical support to finance teams, and ensure seamless financial operations across all campuses
10%
Stakeholder Collaboration & Documentation
Work with university finance and IT stakeholders, maintain clear documentation of system workflows, and support cross-campus coordination.
Requirements:
Bachelor's degree in Computer Science, Finance, Data Science, Business Analytics, or a related field or equivalent experience.
Proficiency in using programming or scripting languages (such as SQL, Python, or similar) to extract, analyze, and automate processes using data from financial systems.
Experience with ERP platforms (Oracle, UCPath), and business intelligence tools (Cognos, Tableau, Power BI).
Familiarity with data warehousing, cloud computing (AWS, Azure, GCP), and automation tools.
Ability to analyze large datasets and develop financial reports that align with UC's financial reporting standards.
Strong problem-solving, analytical thinking, and collaboration skills.
Preferred Skills:
Strong understanding of fund accounting, grant management, and UC financial policies.
Experience working in higher education finance, UC financial operations, or public sector budgeting.
Knowledge of UC policies related to finance, grants, and compliance.
Certifications such as CPA, CFA, or data analytics certifications.
Special Conditions of Employment:
Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies.
The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities.
As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited.
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations.
Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
Abusive Conduct in the Workplace
To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=80657&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant
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Inventory Data Analyst/Data Visualization Specialist (No C2C/No Sponsorship)
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 data science, 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, Data Science, or Data Engineering (a Master's degree is a plus) or equivalent experience.
Data Scientist 4
Data science internship job in Fremont, CA
Analyze large, complex datasets from diverse sources to uncover insights and identify opportunities for innovation. Design, build, and deploy robust machine learning models with meaningful uncertainty quantification. Perform rigorous data engineering and model evaluation, including feature engineering, hyperparameter tuning, and model selection.
Collaborate with engineering teams to integrate models into production codebases, promoting best practices in code quality and maintainability.
Communicate findings and technical results clearly to both technical and non-technical stakeholders.
Master's degree with 6+ years of experience or Ph.
D.
with 3+ years in Computer Science, Engineering, Physics, Applied Mathematics, Statistics, or a related quantitative field.
Machine Learning Expertise: Strong theoretical foundation and hands-on experience in ML algorithms, deep learning, AI, statistics, or optimization.
Programming Skills: Proficient in Python, with motivation to write efficient, maintainable, testable, and well-documented code.
ML Frameworks: Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow.
Problem Solving: Demonstrated analytical and critical thinking skills, with a track record of delivering impactful R&D solutions.
Team Collaboration: Proven success working in cross-functional teams with strong execution and communication skills.
Domain expertise in semiconductor engineering, Bayesian statistics, process engineering, multi-physics modeling, or numerical simulation.
Familiarity with Linux/Unix operating systems.
Experience with MLOps tools and principles (e.
g.
, Docker, CI/CD pipelines).
Machine Learning Data Scientist - Logistics Algorithms
Data science internship job in San Francisco, CA
, Inc.
Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.
About the Team
At Stitch Fix, our data science team combines data insights with expert human judgment to generate innovative recommendations that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. The diversity of the problems that we work on, and the data-rich environment of our business, make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for data scientists and leaders to join us as we revolutionize retail.
The Logistics Algorithms team helps the business put the right things in the right places and at the right times in order to delight our clients and efficiently operate the business. Team members are owners of the health and efficiency of our fulfillment network, ensuring inventory availability for all clients so they can find the fits and styles they love. Alongside partnerships in merchandise planning, finance, and operations, we build tools to optimally manage the ingestion and circulation of merchandise and to power decision frameworks that help the business understand impacts through leveraging data insights in how inventory can work best to support the client journey.
About the Role
This role will combine technical expertise in data science with strong decision-making capabilities to drive data-informed strategic decisions across the organization. The ideal candidate will have a passion for solving complex business problems, utilizing data to derive insights, and providing actionable recommendations that guide key business decisions. As a Data Scientist at Stitch Fix, you will design, implement, and validate improvements to the way our inventory surfaces to clients, improving how we match our finite assortment of available inventory to our client demand. Optimizing our inventory has considerable opportunity for impact at Stitch Fix, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin.
You're excited about this opportunity because you will…
Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques
Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making.
Solution at high speed with a small, agile team of coworkers to produce outsized impact on the business
Have the autonomy to identify unaddressed problems in the business as well as offer new, improved solutions to existing challenges
Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions.
Be exposed to a wide-open field of opportunity for impact with plenty of challenges to make your own
Work in concert with and learn from a large, diverse, and world-class Algorithms team towards the common goal of transforming the way people find what they love.
We're excited about you because…
You have proficiency in Python
You have experience with machine learning frameworks such as scikit-learn, statsmodels and other explainable predictive algorithms
You're comfortable with SQL and experience working with large datasets to gather insights
You have an understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action
You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact
You're curious about what's happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own
You have familiarity with data visualization tools such as matplotlib, seaborn, looker etc
You're happiest as a team player, able to balance time against multiple systems and work streams with defined objectives
Why you'll love working at Stitch Fix...
We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix.
We cultivate a community of diverse perspectives- all voices are heard and valued.
We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
We boldly create the future while keeping equity and sustainability at the center of all that we do.
We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
We offer comprehensive compensation packages and inclusive health and wellness benefits.
Compensation and Benefits
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
Salary Range$106,000-$177,000 USD
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Auto-ApplyData Scientist
Data science internship job in Berkeley, CA
LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position.
LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more.
Benefits
Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan.
Responsibilities
* Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations.
* The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee
* Maintains integrity of the data warehouse in their content areas or as assigned
* Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development.
* Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients.
* Collaboratively develops data strategy for core content area
* Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic.
* Communicates with clients and key stakeholders to develop and create specification analytical applications.
* Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems.
* Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor.
* Protects operations by keeping information confidential and complies with HIPAA requirements.
Qualifications
* Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins.
* Be creative and mature with a "can do," proactive attitude.
* Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team.
* Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills.
* Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change.
* Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations.
* Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive.
* Work in a team-oriented environment with a number of professionals with different work styles and support needs.
* Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff.
* Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations.
Job Requirements
* Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience.
* Minimum 10 years of experience in programming and data analysis involving duties listed above.
* Experience in Healthcare related field and/or data reporting related work and data visualization development
* Excellent skills in SQL scripting and knowledge of database development.
* Basic understanding of SSIS
* Proficiency in Microsoft Offices, including Excel, PowerPoint, Word.
Job Preferences
* Community Health Center experience.
* Microsoft Certified Solution Associate (MCSA) in SQL database development.
Auto-ApplyData Science Intern (Winter or Summer 2026)
Data science internship job in San Francisco, CA
About Us:
Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
This internship will take place from January - April or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time.
About The Role:
Millions of people use Notion - and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in. You will be one of our first data science interns and will help us forge a performant and reliable path forward to Notion's future.
During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers.
What You'll Achieve:
Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business.
Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!).
Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas.
Create metrics and build dashboards to monitor the growth and health of Notion.
Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making.
Qualifications:
Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Targeting a full time start date prior to Summer 2027.
This internship will take place from January - April (for winter) or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time.
Previous data science internship experience.
Proficient in SQL for data extraction, transformation, and analysis.
Working towards proficiency in one or more scripting languages such as Python or R.
You find large challenges exciting and enjoy discovering problems as much as solving them.
You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
Skills You'll Need to Bring:
Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad.
Willingness to learn: If you haven't worked in the SaaS productivity tool space before or have never analyzed an A/B test, you are open to acquiring the necessary domain knowledge and skills to contribute.
Balance work quality and speed: You can deliver high-quality, accurate analyses while recognizing that the goal is to influence business decisions rather than achieve perfect measurement.
Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
Nice to Haves:
You have previous intern experience working with product, engineering, or GTM teams.
You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work.
You have interests outside of technology, such as in art, history, or social sciences.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master's.
#LI-HYBRID
Auto-ApplyData Labeling Intern
Data science internship job in Berkeley, CA
SwingVision is the AI tennis & pickleball app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes. Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what's possible on a mobile device.
Recent achievements include:• 2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day • Featured in Apple Keynote events, Forbes, Esquire, CNET, The New York Times• Trusted by 50k+ players, coaches, and federations all across the globe• Investors include Andy Roddick, Lindsay Davenport, and James Blake
💼 The Role
We are currently seeking part-time Data Labelers to bring our ball-tracking A.I. to all racket sports. As a data labeler in our startup, you will work alongside our Machine Learning team in Berkeley, become knowledgeable in basic computer vision concepts, and learn how a consumer artificial intelligence product is made.Responsibilities
Record video of pickleball & tennis players on the court
Accurately label images of pickleball/tennis balls and players
Update data labeling guidelines with edge cases and other difficult scenarios
Provide feedback & suggestions to help improve the design of our labeling interface
Maintain a labeling accuracy of greater than 95%
Requirements
Agility in using a keyboard & mouse
Deep attention to detail, quality and patience
Thorough knowledge of tennis or pickleball terminology (e.g. serviceline, baseline, doubles alley, deuce court, ad court, kitchen/NVZ, forehand, backhand, topspin, slice, etc.)
Preferred
Comfortability using mac OS
Passion for playing video games with a keyboard & mouse
Bonus
Avid user of the SwingVision app
Passion for Racket Sports or Artificial Intelligence
SwingVision is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Auto-ApplyMachine Learning / Data Science Intern
Data science internship job in Berkeley, CA
Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.
Responsibilities
Work with the Eluvio Machine Learning and Data Science Team
Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
Develop multi-functional learning pipelines
Collaborate with product and engineering teams to implement models at scale
Requirements
Desired Qualifications
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
Deep classroom experience in data science or machine learning or prior internship
Comfortable with Python or R
Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
Knowledge of computer vision and natural language processing
Great communication skills, organized, able to multitask and be a team player
Ability to balance attention to detail with agile execution
Benefits
Paid internship
Auto-ApplyData Science Intern
Data science internship job in Redwood City, CA
Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You'll Be Contributing to Moloco:
Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.
Some examples of past intern projects are:
Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system.
Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges
Minimum Qualifications:
Able and willing to work from our Redwood City, CA. office.
Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September).
Actively enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline during the internship.
Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027.
Preferred Qualifications:
Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
Ability to work independently, owning projects end-to-end, solving problems without much guidance.
For more information about our internship program, please visit our site here: Moloco Internship Program.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail.
Additional Resources:
Moloco Company Blog
Moloco Leadership
Moloco Newsroom
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.
Auto-ApplyData Scientist Intern (Summer 2026)
Data science internship job in San Francisco, CA
At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK
As a Ripple intern, you will work on challenges that impact our mission and shape our company. With support from your team, access to learning and development resources, and opportunities for fun along the way, our program will give you the foundation to start your career journey.
As a Data Scientist Intern, you will have the unique opportunity to work with a best-in-class data team and contribute to the analysis and interpretation of sophisticated on-chain data. Your work will play a crucial role in driving business decisions and crafting the future of blockchain technology. This internship will provide you with valuable experience in working with on-chain data and exploring the innovative world of web3.
WHAT YOU'LL DO
Preprocess on-chain data using SQL and PySpark to ensure its accuracy and reliability.
Perform exploratory data analysis using Python notebooks and Git, uncovering valuable insights and patterns.
Experiment with statistical modeling techniques using Python notebooks and machine learning tools in Databricks, predicting trends in metrics.
Build visually engaging and insightful visualizations using tools like Tableau, optimally conveying data insights to relevant individuals or groups.
WHAT YOU'LL BRING
Currently pursuing a Graduate degree or equivalent experience in data analytics, research methods, statistics, computer science, or another highly relevant field of study.
Proven experience in manipulating datasets through script-based languages like R or Python.
Proficiency in SQL, allowing you to efficiently extract and analyze data.
Strong understanding of statistical principles and experience analyzing large datasets using methods such as regression, clustering, and dimension reduction.
Passionate about learning about crypto and web3, with a desire to contribute to the future of blockchain technology.
For positions that will be based in CA, the hourly range for this position is below. Actual rates may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.
CA Hourly Rate Range$48-$50.50 USD
WHO WE ARE:
Do Your Best Work
The opportunity to build in a fast-paced start-up environment with experienced industry leaders
A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
Competitive salary, bonuses, and equity
Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
Employee giving match
Mobile phone stipend
Take Care of Yourself
R&R days so you can rest and recharge
Generous wellness reimbursement and weekly onsite & virtual programming
Generous vacation policy - work with your manager to take time off when you need it
Industry-leading parental leave policies. Family planning benefits.
Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Auto-ApplyData Science Intern
Data science internship job in San Francisco, CA
Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
As a Data Science Intern at Mercor, you'll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You'll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you'll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies.
You'll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You'll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness.
At the end of the process, you'll be team-matched to where you can have the most impact, on one of the following:
Talent platform analytics - improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling.
Applied AI/human data insights - partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models.
What You'll Work On
As an intern, you'll take on projects such as:
Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems.
Designing and running A/B tests and quasi-experiments; translating results into product decisions within days.
Building dashboards and lightweight data models that empower teams to self-serve insights.
Instrumenting events with engineers and improving data quality, observability, and latency.
Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems.
Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing.
What We're Looking For
Pursuing a degree in a quantitative field (graduating 2025-2027).
Strong fundamentals in statistics, SQL, and Python.
Experience with experiment design, causal reasoning, and data analysis.
Ability to communicate clearly with engineers, product managers, and leadership.
Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus).
Excited to work in person and thrive in a fast-paced environment.
Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation.
Why Mercor
Impact: Your work powers how AI labs train and deploy their models
Learning: Get early exposure to frontier AI research and engineering
Growth: Work with a high-velocity team where interns ship to production
Benefits
Competitive internship stipend.
Mentorship from experienced engineers.
Work on real, high-impact projects.
$1K monthly stipend for meals
Free Equinox membership
Team events and offsites.
Potential full-time return offer.
Auto-ApplyData Scientist Intern
Data science internship job in San Mateo, CA
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
Perform large-scale data analysis, find interesting patterns and translate them into product improvements
Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
Develop data infrastructure and improve data collection and processing tools and techniques
Qualifications
Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
Proficient in SQL and able to write complex SQL queries
Experience with scripting languages such as Java and Python
Excellent problem-solving and analytical skills
Curious and creative about data, and comfort with ambiguity
Additional Information
We offer competitive salaries, meals, snacks, etc.
Data Science Intern (Summer 2026)
Data science internship job in Mountain View, CA
About the role
Muon seeks experienced candidates for the position of Data Science intern. Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response. The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission. The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing. Muon is looking for self-motivated candidates who are comfortable working with a remote team. We welcome applicants who are passionate about addressing climate change.
Responsibilities:
Internship projects may include some or all of the following:
Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data.
Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products.
Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders.
Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission.
Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team.
Qualifications:
Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field.
Technical Skills:
Strong programming skills in Python.
Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments.
Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn.
Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS).
Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions.
Data Experience: Experience working with messy, complicated real-world data
Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience.
Passion for Climate: A strong interest in addressing climate change through the development of new technology.
Nice-to-have Skills:
Experience working with geospatial data processing concepts and software (geopandas, rasterio, GDAL; projections, remote sensing data)
Knowledge of cloud computing platforms (e.g., AWS).
Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.).
Experience working with remote sensing data.
Salary
The hourly wage for this role is $50.
About Muon Space
Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.
Taking Care of Our Team
At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.
Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
ITAR/EAR Requirements
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.
Auto-ApplyData Science - Intern (Summer 2026)
Data science internship job in Redwood City, CA
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results.
As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms-from predictive maintenance to fraud detection-at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions.
Responsibilities:
Drive adoption of Deep Learning systems into the next generation of C3 AI products
Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance
Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements
Qualifications:
Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning)
Experience with prototyping languages such as Python and R
Strong mathematical background (linear algebra, calculus, probability, and statistics)
Experience with scalable ML (MapReduce, streaming)
Ability to drive a project and work both independently and in a team
Smart, motivated, can-do attitude, and seeks to make a difference
Proficient in spoken and written English
Preferred Qualifications:
Experience with JavaScript and Java
Experience with time series and dynamical system
A portfolio of projects (GitHub, papers, etc.)
C3 AI provides excellent benefits and a competitive compensation package, which include:
Salary range: $6,000 - $8,000 USD per month.
At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team.
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Auto-ApplyPrincipal Data Scientist : Product to Market (P2M) Optimization
Data science internship job in San Francisco, CA
About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.
This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team.
About the Role
Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization.
The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels.
What You'll Do
* Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges.
* Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals.
* Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment.
* Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility.
* Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly.
* Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights.
* Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success.
* Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value
* Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP.
* Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality.
Who You Are
* Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline.
* 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains.
* Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes.
* Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation.
* Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib.
* Hands-on experience with enterprise platforms such as Databricks and cloud environments
* Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions.
* Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences.
* Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations.
* Experience managing code quality, CI/CD pipelines, and GitHub-based workflows.
Preferred Qualifications
* Experience shaping and executing multi-year analytics strategies in retail or supply chain domains.
* Proven ability to balance long-term innovation with short-term deliverables.
* Background in agile product development and stakeholder alignment for enterprise-scale initiatives.
Benefits at Gap Inc.
* Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
* One of the most competitive Paid Time Off plans in the industry.*
* Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.*
* Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.*
* Employee stock purchase plan.*
* Medical, dental, vision and life insurance.*
* See more of the benefits we offer.
* For eligible employees
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
Salary Range: $201,700 - $267,300 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
Data Scientist
Data science internship job in Mountain View, CA
The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success.
If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable.
Your Impact
* Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations.
* Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors.
* Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies.
* Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies.
* Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation.
* Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps.
* Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes.
* Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness.
We're Looking for Someone Who
* 3+ years as a Data Scientist, in a software technology or AI-driven company.
* Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization.
* Strong background in data analysis, statistical modeling, and other data science techniques.
* Familiarity with B2B SaaS business models.
* Excellent ability to translate complex findings into actionable insights for non-technical stakeholders.
* Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
* Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment.
About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.
Accessibility & Accommodations
Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact *********** at least 3 business days before your interview.
* Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
Salary range
Salary Range: $155,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
#LI-Hybrid
Artificial Intelligence, Machine Learning & Data Science - Summer 2026 Internships
Data science internship job in Palo Alto, CA
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, Data Science & 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, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering
Auto-ApplyData Scientist - User Risk Measurement
Data science internship job in San Francisco, CA
About the Team The Intelligence & Investigations (I2) team detects and disrupts abuse and strategic risk so people can use our products safely. Within I2, Strategic Intelligence & Analysis is building a first-of-its-kind user-risk measurement function: policy-grounded baselines, confidence intervals, and attribution that reveal how real users engage with frontier AI-and how that changes when we ship mitigations. We sit between Safety Systems, Data Science, Integrity, and Product, turning heterogeneous safety signals into decision intelligence that appears in executive dashboards, launch/post-launch readouts, and weekly briefs.
About the Role
As a Data Scientist on this new function, you will help define how the industry measures complex, adaptive human-AI behavior at scale: You will establish trustworthy baselines for user-level risk, create attribution that links changes to real-world mitigations and events, and deliver concise narratives and metrics that guide safety strategy and product decisions. The work spans end-to-end ownership-from framing the questions to delivering decision-ready outputs with clear quality standards and governance-while collaborating closely across Safety Systems, Data Science, Product, and Policy
This role is based in San Francisco, CA (hybrid, 3 days/week): Relocation support is available
In this role, you will:
* Define the measurement framework for user-level risk across products and cohorts: scope the questions that matter and align on clear, policy-grounded definitions
* Establish baselines and statistical confidence for core metrics: prevalence, intensity, trends, and cohort dynamics
* Build decision-ready reporting surfaces: executive dashboards, weekly briefs, and launch readouts that translate insights into action
* Clean and organize ambiguous data from disparate sources, with an eye toward building automated pipelines and systems
* Create attribution and change-tracking: connect shifts in user behavior to mitigations, product changes, and external events
* Partner across Safety Systems, Data Science, Integrity, Product, and Policy: ensure one coherent analytics entry point and consistent standards
* Uphold quality, privacy, and governance: document methods, ensure auditability, and maintain durable measurement hygiene
* Monitor signals for emerging risks and anomalies: recommend priorities that reduce harmful usage and improve user safety
* Communicate clearly and concisely: deliver insights and trade-offs to executives and engineering teams in language that drives decisions
You might thrive in this role if you:
* Have 3-6+ years in data science, measurement/causal inference, or risk analytics in high-stakes domains:
* Are strong in sampling, inference, uncertainty quantification, probability theory, and rare-event estimation; comfortable with time-varying metrics:
* Write solid Python and SQL; are fluent with data warehouses and productionizing notebooks/pipelines:
* Communicate crisply, translating complex estimators into clear actions for executives and cross-functional partners:
* Nice to have: experience with Airflow DAGs or other ETL pipelines, Databricks, survival analysis, streaming/online detection, classifier evaluation/QA, privacy reviews/audit trails, or integrity/fraud/safety experience:
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Scientist Intern (Spring 2026)
Data science internship job in South San Francisco, CA
Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world.
Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term.
Join us, and build the future of logistics with the best humans around!
About the Software Integration Team
Are you excited about learning how complex software systems come together to power real-world autonomy? At Zipline, we operate the world's largest autonomous delivery network, and our Software Integration team plays a critical role in making sure the software that flies our aircraft works reliably and safely in the real world.
As a Software Integration Intern, you'll get hands-on experience at the intersection of robotics, embedded software, and systems engineering. Our team doesn't just write code-we bring together planning, perception, and controls software, and make sure all of it works smoothly on the aircraft, in simulation, and in real operations.
You'll help test and integrate features that affect how our autonomous aircraft fly, adapt routes, and respond to unexpected situations. That means working with simulation tools, flight telemetry, and testing infrastructure to ensure new software behaves the way it should before it ever goes into the sky.
This internship is a chance to learn how large, safety-critical autonomy systems are built and scaled, while contributing to technology that directly impacts communities around the world.
The Role
We are seeking a Data Science Intern with an interest in applying technical and engineering skills to real-world problems. The ideal candidate is eager to learn how to use data science and programming to support hardware systems integration and engineering projects. This internship provides the opportunity to work with large datasets, gain exposure to modern data tools, and apply engineering principles to create actionable insights. Familiarity with Python, SQL, and basic software development is helpful, but a strong willingness to learn is most important.
What You'll Do
Data Analysis & Modeling: Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts.
Data Visualization: Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings.
Dashboard Development: Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance.
Data Engineering: Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis. Write simple SQL queries and learn how to work with databases.
Machine Learning: Gain exposure to machine learning by assisting with model development and validation for autonomy applications
Scientific Programming: Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations.
What You'll Bring
Educational Background: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field.
Technical Skills:
Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.).
Basic understanding of SQL for querying and working with data.
Exposure to software development practices (version control with Git, debugging, documentation) is a plus.
Mathematical & Analytical Skills:
Coursework or experience with statistics, linear algebra, or numerical methods.
Interest in applying engineering and data analysis to solve real-world problems.
Problem-Solving:
Curiosity and analytical thinking to approach technical challenges.
Ability to learn how to frame engineering problems as data science problems.
Communication Skills:
Willingness to communicate findings clearly with technical and non-technical teammates.
Strong written and verbal skills for documentation and presentations.
Machine Learning & Data Modeling:
Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras).
Some experience from coursework, projects, or self-study in building or experimenting with models.
Bonus Qualifications:
Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus.
Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus.
Cloud Computing/Big Data Tools: Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is helpful but not required
What Else You Should Know
Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Spring 2026 interns from January to April.
Candidates are limited to three (3) applications within a 30-day period.
The starting cash range for this internship is $44 - 48/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more.
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.
Auto-ApplyAI Business Analyst Intern
Data science internship job in Palo Alto, CA
Business UnitWhat the Role Entails
Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.
Responsibilities:
1.Monitor and analyze cutting-edge AI technology trends and their applications in the gaming industry, such as AI animation generation, AI 3D generation, AI NPC and AI gameplay generation.
2.Integrate insights from internal and external experts, combine them with logical understanding, and deliver insights on AI technology development trends and implementation recommendations.
Who We Look For
1.Strong interest in gaming and AI technology. good at information acquisition and analysis.
2.A background in STEM (Science, Technology, Engineering, Mathematics) is preferred
Location State(s)
US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $27.00 to $57.70 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Auto-Apply