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
Copyright ©2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency
jeid-186599039718bd4cabfba1b0577b375d
Staff Data Scientist
Data science internship job in San Jose, CA
Staff Data Scientist | San Francisco | $250K-$300K + Equity
We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI.
In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
What you'll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade-off clarity
What we're looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross-functional teams
If you're excited by the sound of this challenge- apply today and we'll be in touch.
Data Analyst
Data science internship job in Fremont, CA
HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity.
Job Title: Advanced Data Analyst
Position Type: Full Time
Location: Onsite
Role Overview
Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience
Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers.
Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement.
Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau.
* Develop deep understanding of analytical data models.
*Simulation Tools experience is must. Anylogic experience is big plus.
* Support project development life cycles through data modeling, reporting and analytics.
Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization.
Create training materials to guide business users on how to use dashboards.
Participate in the creation and support of development standards and best practices.
Explore and recommend emerging technologies and techniques to support/enhance BI landscape components.
* Automate solutions where appropriate. Skills
* At least 4-6 years of business intelligence and data warehouse experience.
* At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL.
* At least 1 year of experience with Tableau.
* Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.)
* Prefer a candidate with experience building and maintaining pipelines
* Knowledge of ETL processes and designs.
Pay and Benefits
Pay Range Minimum: $59,000 per year
Pay Range Maximum: $109,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation.
A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You'll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your
brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Data Scientist
Data science internship job in San Francisco, CA
We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics.
We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability.
This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions.
Key Responsibilities
Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records)
Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers
Research and prototype innovative approaches leveraging both classical and modern machine learning techniques
Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments
Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs
Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations
Required Qualifications
Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis
Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.)
Proven track record of transitioning models from research prototypes to production systems
Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued)
Bonus Qualifications
Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC)
Background in actuarial modeling, claims forecasting, or risk adjustment methodologies
Data Scientist V
Data science internship job in Menlo Park, CA
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow's ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.
******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future***
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
Education/Experience:
• Master of Science degree in computer science or in a relevant field.
Lead Data Scientist - Computer Vision
Data science internship job in Santa Clara, CA
Lead Data Scientist - Computer Vision/Image Processing
About the Role
We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection.
Responsibilities
Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection
Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning
Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch.
Familiarity with version control (Git) and collaborative development practices
Founding Data Scientist (GTM)
Data science internship job in San Francisco, CA
An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers).
We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions.
Responsibilities:
Analyze data to improve how the company finds, converts, and supports customers
Create models that predict lead quality, conversion, and customer value
Build clear dashboards and reports for leadership
Work with teams across the company to answer key questions
Take initiative, communicate clearly, and dig into data to solve problems
Try new methods and tools to keep improving the company's GTM approach
Qualifications:
5+ years related industry experience working with data and supporting business teams.
Solid experience analyzing GTM or revenue-related data
Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.)
Comfortable owning data workflows-from cleaning and modeling to presenting insights.
Able to work independently, prioritize well, and move projects forward without much direction
Clear thinker and communicator who can turn data into actionable recommendations
Adaptable and willing to learn new methods in a fast-paced environment
About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: *********************
How We Work:
We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.
Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.
Air Quality Data Analyst
Data science internship job in San Francisco, CA
Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position!
Title: Air Quality Data Analyst
Salary: $36/hr-$45/hour-salary commensurate with experience
Job Type: Part-time, Temporary
Benefits: Sick leave accrual
Duration of Appointment: Est. 2 months from start date
Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week
About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below.
Air Quality Data
Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports
Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking.
Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report.
Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data.
Participate in meetings related to our air quality work, including with vendors and other key partners.
Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information.
Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc.
General Support:
Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc.
Assist Brightline team members with other projects as needed
Required Qualifications, Skills, and Abilities:
3-5 years of related experience, including some direct work with environmental mapping
Experience with utilizing ArcGIS
Experience with R, modeling or other coding languages
Familiarity utilizing Google Suite, Canva (or other design software)
Strong interpersonal, written and oral communication skills
Ability to work with data and identify trends and areas where further data points or analysis are needed
Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community
Ability to collaborate with multiple stakeholders and take and incorporate feedback/input
Outstanding relationship-building skills, as well as ability to adapt communication style
Must demonstrate strong organizational skills, ability to adapt and must be detail oriented.
Desire to learn more about Brightline's work
Passion for working in environmental justice
Desire to work with diverse communities and neighborhoods in San Francisco
Preferred Skills & Qualifications
Masters or PhD in related field
Experience with Tableau or other data visualization software
Experience with website coding
Spanish, Cantonese, or Arabic language skills
Experience working with community-based organizations and or low-income communities
How to Apply
Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.
Data Analyst with Pyspark & AB Testing
Data science internship job in Sunnyvale, CA
In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
At least 4 years of experience in Information Technology
Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models
Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data
Strong experience using Python, Advanced SQL and PySpark
Preferred Qualifications:
Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field
Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns)
Knowledge of Machine Learning techniques
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
EEO/About Us :
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Staff Data Scientist, Full Stack
Data science internship job in Santa Clara, CA
Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description
Your Career
As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives.
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
This is an in office role 3 days/week in our HQ, Santa Clara, CA
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Qualifications
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Additional Information
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.
We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Operation Support Intern-Bilingual in Mandarin
Data science internship job in San Jose, CA
About Us
Gala Circle is a service provider offering integrated cutting-edge technology solutions for North American enterprises. It focuses on helping enterprises achieve business growth, efficiency improvement, and innovation, covering multiple industries such as catering and retail.
Its core services consist of four major segments:
1.Ecological Operation Integration: Including alliance ecosystem restructuring, and cost reduction through centralized procurement.
2.Marketing & Customer Operations: Providing omnichannel social marketing, private domain establishment, and membership system services.
3.Payment & Compliance: Launching comprehensive payment solutions tailored to the North American market (covering major payment methods), while ensuring transaction security, compliance, and tax support.
4.Customized Technology Development: Covering systems such as CRM/ERP/HRM, industry-specific platforms, and SaaS/API integration.
Key Responsibilities:
Hardware & Technical Support:
Assist with the coordination and tracking of hardware shipments.
Support installation processes to ensure smooth deployment.
Provide basic software guidance and troubleshooting assistance to users.
Operational & Community Engagement:
Maintain organized documentation of operational procedures.
Assist in fostering strong relationships with customers and stakeholders.
Support internal teams in cross-departmental operational initiatives.
Qualifications:
Strong communication and organizational skills.
Basic technical proficiency with the ability to troubleshoot minor issues.
Ability to work collaboratively with multiple teams.
Adaptability and a proactive approach in a dynamic work environment.
Bilingual proficiency in Spanish is a plus.
Additional Information:
This is a paid internship opportunity,20hours/week.
The role is based at 1580 Oakland Rd San Jose, CA 95131.
Future visa sponsorship opportunities may be available for eligible candidates.
Equal Opportunity Employer Statement: Gala Circle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, ethnicity, gender, age, disability, or any other legally protected status.
Digital Technology (DT) - Associate Data Informatics Analyst Intern
Data science internship job in Santa Clara, CA
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
* As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills.
The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise.
What you get to do in this role
* Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions.
* Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders.
* Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions.
* Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics.
* Develop quick utility dashboards and reports to help accelerate and scale insights delivery
Qualifications
* Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university.
* Graduating December 2026, or later.
* Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field).
* Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail.
* Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
* Demonstrated ability to work collaboratively
* SQL skills with the ability to perform effective querying involving multiple tables and subqueries.
* Experience with Tableau and/or Power BI (or similar analytical packages) required.
* Advanced Excel and PowerPoint skills.
* Experience with R, SAS, or Python a plus.
For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.
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-ApplyData Analyst Intern, application via RippleMatch
Data science internship job in Sunnyvale, CA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques.
Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar).
Ability to interpret complex data sets and provide actionable insights.
Excellent problem-solving skills and attention to detail.
Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
Strong communication and interpersonal skills, with the ability to collaborate effectively with team members.
Eagerness to learn and apply new techniques and tools in the field of data analysis.
Auto-ApplyData and Evaluation Non-paid Internship
Data science internship job in Oakland, CA
ORGANIZATION BACKGROUND:
The Hidden Genius Project is a non-profit headquartered in Oakland, California, that trains and mentors Black male youth in technology creation, entrepreneurship, and leadership skills to transform their lives and communities. The Hidden Genius Project seeks to reveal the true potential of Black male youth and empower them to become leaders who drive change from within their communities.
Through a student-centered, project-based approach, we invest in young Black men, equipping them with technology training and connecting them to an ecosystem of innovation and empowerment. Since its founding in 2012 and establishment of a full-time infrastructure in 2015, The Hidden Genius Project has expanded to operate Intensive Immersion Programs in Oakland, Richmond (CA), Los Angeles, Detroit, Chicago, Atlanta, and Baltimore. As we continue our national growth trajectory in 2025, we remain committed to delivering impactful programming while navigating the evolving landscape of public health challenges. Our vision is to continue expanding our reach and positively impacting thousands of young Black males and their communities.
JOB IDENTIFICATION:Job Title: Data and Evaluation InternDepartment: ProgramsSupervisor Title: Learning and Evaluation Director
POSITION PURPOSE AND SUMMARY:The Data and Evaluation Intern will support The Hidden Genius Project's data systems and reporting functions, contributing directly to the organization's mission of training and mentoring Black male youth in technology creation, entrepreneurship, and leadership. This entry-level role provides hands-on experience with Salesforce, Google Workspace, and other technical platforms, offering an opportunity to develop data management, cybersecurity-adjacent, and administrative IT skills that are valuable for future workforce opportunities.DUTIES AND RESPONSIBILITIES:Essential Functions:Salesforce Data Entry & Management
Enter, update, and clean data within Salesforce.
Support account management tasks (account creation, sign-ins, password resets, etc.).
Assist with contact and account data organization to support national program operations.
Help implement and test basic Salesforce features such as fields, page layouts, templates, and list
views (training provided).
Assist with onboarding completion checks, stipend data entry, and related programmatic
workflows.
Technical and Systems Support
Troubleshoot basic technical issues related to Salesforce, Google Workspace, and other internal tools.
Support form setup, survey links, and distribution across program sites.
Assist with maintaining internal data tools and system documentation.
Data Reporting & Evaluation
Support quarterly and end-of-year reporting through data compilation and light analysis.
Assist with survey programming, distribution, and response monitoring.
Provide basic reporting support for program, operations, and evaluation needs.
Email and Communication Systems
Help create and manage Google Groups/listservs.
Generate organizational emails and assist with email account/password recovery.
Non-Essential Functions:
Provide support for organizational initiatives, community engagement efforts, and national programming.
Assist with curriculum refinement, events, logistics, and occasional facilitation.
General All-Staff Responsibilities:
Engage and mentor youth participants through hands-on, relationship-centered practices.
Foster safe, inclusive, and supportive learning environments.
Collaborate across teams and sites to optimize program delivery.
Participate in professional development and continuous learning.
Support operational tasks beyond the defined job scope when needed to ensure youth success.
QUALIFICATIONS, SKILLS, AND ABILITIES:Required:
Demonstrated interest in technology, data management, or database systems.
Strong organizational skills with high attention to detail.
Commitment to The Hidden Genius Project's mission, youth development model, and collaborative culture.
Experience in nonprofit, youth development, education, or technology environments.
Strong interpersonal and communication skills.
Flexibility to work evenings and weekends based on program needs.
Adaptability to take on tasks outside the formal job description based on real-time organizational needs.
Desired:
Familiarity or prior experience with Salesforce (highly desired).
Interest in supporting Salesforce implementation, including learning how to configure fields, reports, and page layouts.
Experience troubleshooting basic technical issues (Google Workspace, account login issues, etc.).
Interest in pursuing a career in technology, data systems, evaluation, or database administration.
ROLE OVERVIEW:Role Location: (Oakland, CA) Status: Intern (part time hours) Schedule: [Total hours per week], starting [start time], including evenings and weekends as needed.
Manages: N/A
Years of experience: 0-3
Working relationships: At each location, site team members work closely with their immediate team, supervisor, and key leadership to support daily operations and program success. They also connect with colleagues in similar roles across different locations to share best practices and strengthen our collective impact. Central team members provide organization-wide support, collaborating across departments and locations to ensure seamless operations and strategic growth. Together, every team member plays a vital role in advancing our mission.
Our organization operates within a dynamic structure that supports both site-based and central team roles. Site-based team members play a key role in our 15-month youth program, with an immersive summer schedule (Monday-Friday, between 7 AM - 6 PM for seven weeks) and a structured fall schedule that includes full-time hours, one evening per week, and one Saturday per month. Meanwhile, central team members maintain a Monday-Friday schedule (typically between 7 AM - 6 PM), supporting organizational needs through strategic initiatives, cross-functional collaboration, and efforts beyond core job duties. Regardless of role, every team member contributes to our shared mission and the success of our Geniuses.WORK ENVIRONMENT:The Hidden Genius Project operates in a dynamic and flexible work setting to best support our mission and the needs of our youth. We are flexible but require an onsite commitment for the first year of employment. Site-Based Roles: Staff in these roles work from programming locations within local communities. These locations have traditionally included school sites, faith-based institutions, and other commercial or community spaces designated for youth development programs. Site-based roles require adaptability to varying facilities and settings, ensuring a safe and engaging environment for program delivery. Site-based roles have the flexibility to work remotely as approved by supervisors and within our workplace policy and program needs. Central Team: Primarily based between our headquarters in Oakland and our Los Angeles site in CA, both feature a modern office setting. While many responsibilities are managed from a central location, team members have the flexibility to work remotely as needed and within our workplace policy. Remote work arrangements require supervisor approval, proactive communication, self-discipline, and the ability to collaborate effectively across time zones and locations. General Work Conditions:
Requires occasional travel for site visits, events, and meetings.
Collaboration with staff, partners, and youth may extend beyond traditional work hours to meet programmatic and organizational demands.
Flexibility is key in this role, as responsibilities may shift based on programmatic needs and youth engagement.
BENEFITS OF THE ROLE:
Exposure to real-world database management and secure account administration.
Resume-building experience in Salesforce, data reporting, and survey programming.
Opportunity to strengthen technical problem-solving and IT support skills.
Direct mentorship and professional development within a dynamic nonprofit.
Dynamic, collaborative, and purpose-driven work environment.
Meaningful opportunity to impact the lives of Black male youth and other youth of color.
Entrepreneurial organization with opportunities for innovation and leadership.
Direct connection to industry professionals and networking opportunities.
Competitive compensation and benefits package.
Opportunity to contribute to the growth of a national nonprofit.
COMPENSATION:This is a non-pay internship.PHYSICAL DEMANDS:
Employees may occasionally climb, balance, stoop, kneel, crouch, or crawl.
Regularly talk, and/or hear.
Vision abilities required for maintaining safety in programming spaces.
Ability to travel and supervise youth transportation as needed.
National (and possibly international) travel is required.
Non-traditional work demands: The nonprofit sector and our commitment to youth development require flexibility beyond a standard work structure, often necessitating engagement in unexpected situations and responsibilities.
Data 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.
User Growth Business Analyst Intern
Data science internship job in San Jose, CA
Epic is the leading digital reading platform for kids in the U.S., providing engaging and high-quality reading experiences for children around the world. As a User Growth Business Analyst Intern, you'll join the global growth team to support the planning, tracking, and analysis of Epic's user growth strategies in the U.S. market. You'll work across projects such as performance marketing, SEO, educator community growth, and influencer marketing-providing data insights that inform key business decisions.
Key Responsibilities
1. Data Analysis & Reporting
Support collection, cleaning, and visualization of user growth data (registrations, subscriptions, ROI, retention, funnel performance, etc.).
Help maintain growth dashboards and generate weekly/monthly insights reports.
2. Market & Growth Research
Monitor U.S. EdTech competitors and analyze their growth strategies.
Study growth models (Growth Flywheel, AARRR, LTV modeling, etc.) to support Epic's growth planning.
3. Project Support & Cross-Team Collaboration
Assist with user growth initiatives including ad testing, SEO content deployment, A/B testing, and conversion rate optimization.
Collaborate with product, marketing, design, and tech teams to ensure smooth implementation of growth strategies.
4. Insights & Reporting
Translate data into actionable insights and strategic recommendations.
Support preparation of weekly reports, monthly summaries, and executive presentations.
Requirements
Bachelor's degree or above (in progress). Majors in Economics, Statistics, Marketing, or Business Analytics preferred.
Strong analytical and data interpretation skills; proficient in Excel/Google Sheets; SQL or Python experience is a plus.
Familiar with key growth metrics (CAC, ROI, LTV, Retention, ARPU, etc.).
Good English communication skills; comfortable working in a bilingual environment.
Self-motivated, detail-oriented, and passionate about education and children's content.
Minimum 3 days per week for at least 3 months.
What You'll Gain
Real-world experience collaborating with global cross-functional teams.
Hands-on participation in U.S. market growth projects (ads, SEO, educators, influencers, etc.).
1:1 mentorship from experienced growth and analytics leads.
Priority consideration for a full-time Growth Analyst / Marketing Analyst role upon outstanding performance.
Internship Pay : $20 per hour
Auto-ApplyResearch Data Analyst 3 Oakland, CA, Job ID 81754
Data science internship job in Oakland, CA
Gathers, analyzes, and interprets a wide variety of programmatic data. Designs and conducts data analysis. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Manages operations of several information systems and provides technical assistance to academic and administrative users statewide.
This position is a career appointment that is 100% fixed.
The home department is the Program Planning & Evaluation Department. 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: $88,900.00/year to $126,400.00/year
Job Posting Close Date: This job is open until filled. The first application review date will be 10/24/2025.
Key Responsibilities:
35%
Gathers, analyzes, prepares, and summarizes the collection of information and data. Recommends approaches, trends, sources, and uses. Writes complex queries to gather programmatic data from multiple systems, using SQL in Microsoft SQL Server Management Studio and Microsoft Access, for annual reporting and ad hoc requests. Analyzes and prepares data to inform administrative and program decision making. Provides leadership to compile data for the Program Planning and Evaluation team and contributes to the analysis to meet annual federal program reporting requirements, strategic communications, and advocacy efforts.
20%
Manages day-to-day operations for several information systems, including the following federal systems: The National Institute of Food Agriculture's (NIFA) Reporting System; the Research, Extension, and Education Project Online Reporting Tool; and the National Information Management and Support System, with over 500 UC ANR academic users. Provides training and technical assistance to users and to campus partners. Is a core member of the multicampus Program Reporting Group with administrative staff from the Deans' Offices. Liaises with Deans' Offices across multiple campuses and with USDA NIFA on policy and technical questions. Is a core member of the Product Owner Group for Project Board, the UC Cooperative Extension information system developed in-house, working closely with IT that is responsible for programming the system. Conducts testing when enhancements are deployed. Provides technical assistance to users statewide. Be a core team member, working with IT, to replace the publications data collection system Bibliography Project to improve administrative efficiencies.
20%
Develops systems for organizing data to analyze, identify, and report trends. Structures and categorizes raw data to make it easily accessible, usable, and analyzable. Completes tasks such as data cleaning, standardization, classification, and potentially data warehousing. For example, retrieves, analyzes, and compiles UCPath data, the UC systemwide personnel system, for all UC ANR academics across multiple campuses and locations, to provide a quarterly report to leadership to illustrate trends and inform their academic staffing decisions. Manages an annual statewide survey of community educators to collect on data programmatic scope. Organizes and updates this academic and programmatic staff data in large, complex tables.
15%
Prepares data for presentation in clear and compelling ways for a variety of audiences including administrators across the UC system and academics across disciplines, from senior leadership to researchers in the field, as well as UC ANR clientele/members of the public. For example, manages the programmatic and non-sensitive personnel data tasks for presentation in the online ArcGIS UC ANR Programmatic Footprint Maps. Tests maps to ensure the data is represented properly. Acts as a member of the project team that works on continued process improvements and map data enhancements.
5%
Analyzes the interrelationships of data and defines logical aspects of data sets. Contributes to researching, assessing, and selecting new data reporting products.
5%
Implements related business processes. Adapts processes to retrieve and analyze programmatic data when organization makes related changes. Manages proposal submission and provides process oversight for academic position planning and funding opportunities.
Requirements:
Bachelor's degree in related area and / or equivalent experience / training.
Thorough skills in analysis and consultation.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Skills in project management.
Skills at a level to evaluate alternate solutions and develop recommendation.
Ability to create and edit tables in Structured Query Language (SQL).
Ability to work independently and with a team.
Interpersonal and verbal skills to effectively communicate with diplomacy and to interact with a wide range of academics and staff.
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:
https://apptrkr.com/get_redirect.php?id=6751108&target URL=
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=81754&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant
Copyright ©2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency
jeid-b9a81a9e9cf59842a913c67f9291ce56
Staff Data Scientist
Data science internship job in San Francisco, CA
Staff Data Scientist | San Francisco | $250K-$300K + Equity
We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI.
In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
What you'll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade-off clarity
What we're looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross-functional teams
If you're excited by the sound of this challenge- apply today and we'll be in touch.