Research 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
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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.
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 Mountain View, CA
Job Title: Data Scientist V - Data Analytics & Engineering
Location: Onsite preferred (Mountain View, CA); Remote considered for strong candidates (US time zones only)
Duration: 12 months (possible extension)
Required Skills:
Strong project or product management experience
Excellent communication and consulting skills
Proficiency in SQL and Python
Nice to Have:
Experience with marketing analytics or campaigns
Experience in large tech or fast-paced startup environments
Familiarity with AI-driven workflows
Why Join:
High-visibility, cross-functional role
Opportunity to work on advanced measurement and automation tools
Small, agile team with enterprise-scale impact
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
Data Analyst PySpark A B 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. 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
Along with competitive pay, as a full-time employee you are also eligible for the following benefits :-
Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off
Data Scientist
Data science internship job in Pleasanton, CA
Key Responsibilities
Design and develop marketing-focused machine learning models, including:
Customer segmentation
Propensity, churn, and lifetime value (LTV) models
Campaign response and uplift models
Attribution and marketing mix models (MMM)
Build and deploy NLP solutions for:
Customer sentiment analysis
Text classification and topic modeling
Social media, reviews, chat, and voice-of-customer analytics
Apply advanced statistical and ML techniques to solve real-world business problems.
Work with structured and unstructured data from multiple marketing channels (digital, CRM, social, email, web).
Translate business objectives into analytical frameworks and actionable insights.
Partner with stakeholders to define KPIs, success metrics, and experimentation strategies (A/B testing).
Optimize and productionize models using MLOps best practices.
Mentor junior data scientists and provide technical leadership.
Communicate complex findings clearly to technical and non-technical audiences.
Required Skills & Qualifications
7+ years of experience in Data Science, with a strong focus on marketing analytics.
Strong expertise in Machine Learning (supervised & unsupervised techniques).
Hands-on experience with NLP techniques, including:
Text preprocessing and feature extraction
Word embeddings (Word2Vec, GloVe, Transformers)
Large Language Models (LLMs) is a plus
Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).
Experience with SQL and large-scale data processing.
Strong understanding of statistics, probability, and experimental design.
Experience working with cloud platforms (AWS, Azure, or GCP).
Ability to translate data insights into business impact.
Nice to Have
Experience with marketing automation or CRM platforms.
Knowledge of MLOps, model monitoring, and deployment pipelines.
Familiarity with GenAI/LLM-based NLP use cases for marketing.
Prior experience in consumer, e-commerce, or digital marketing domains.
EEO
Centraprise is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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.
Data Scientist with Gen Ai and Python experience
Data science internship job in Palo Alto, CA
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Here's the job details,
Data Scientist with Gen Ai and Python experience
Palo Alto CA- 5 days Onsite
Interview Mode:-Phone & F2F
Job Overview:
Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models
DS skills with GenAI and LLM Knowledge,
Expertise in Python/Spark and their related libraries and frameworks.
Experience in building training ML pipelines and efforts involved in ML Model deployment.
Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model.
Familiar with DS/ML Production implementation.
Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks.
Azure cloud and Databricks prior knowledge will be a big plus.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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.
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.
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.
+ 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
+ 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.
**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 Analytics Intern
Data science internship job in Concord, CA
retailcloud is an omnichannel commerce platform that provides sports and entertainment merchants the ability to easily manage their orders, inventory, customers, and other related tasks while providing them with actional analytics to improve operational efficiencies. We are the proud partner of over 30 professional sports teams and work closely to utilize our 30+ homegrown application and range of out of the box integrations to build a tailored solution to meet the customers needs.
Position Overview:
retailcloud is seeking a Data Anyltics Intern to work with large and complex datasets and turn them into clear insights and visualizations. We are looking to utilize our data and technology to transform a retailers data into actionable analytics for the retailer. The ideal candidate will have 1 -3 years experience in a prior data analytics role. This role will require to create and improve our analytics dashboards to support our retailers operations.
Responsibilities:
· Demonstrated ability to work with large and complex datasets.
· Strong written and verbal communication skills to explain findings to decision -makers who are not business analysts or data analysis experts.
· Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and conclusions.
· Tech -savvy, particularly when it comes to data mining and cleansing.
· High attention to detail as it relates to data integrity and organization.
· Willingness to take on multiple departmental responsibilities and multitask.
· Ability to organize and create catalogs for large streams of data collected.
· Project organization and management.
Qualifications and Experience
· Bachelor's degree or equivalent industry experience preferred.
· 1 -3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company
· Ideally worked in a start -up environment
· Highly organized
Compensation:
Base salary of $60,000 -$70,000 with PTO and full medical benefits
Data Analyst Intern, application via RippleMatch
Data science internship job in San Francisco, CA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in 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 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.
Intern, Quality, Data Analysis, AI
Data science internship job in San Jose, CA
Please review the job details below.
Lanteris Space Systems is seeking a motivated Quality Engineering Intern to pioneer the integration of our new Claude AI system with legacy quality data systems. This role will focus on bridging modern AI capabilities with existing manufacturing data infrastructure to unlock continuous improvement opportunities across our spacecraft manufacturing operations. The ideal candidate will have experience applying cutting-edge AI tools to our data systems.
Key Responsibilities
Lead AI integration efforts: Design and implement strategies to connect Claude with multiple legacy quality data systems
Develop prompts, workflows, and integration approaches that enable Claude to analyze data from PLM/MES/QMS/ERP/MRP systems
Apply AI-assisted analysis to multiple nonconformance reports (NCRs) to identify patterns and improvement opportunities
Leverage Claude for automated Pareto analysis, trend identification, and root cause analysis across disparate datasets
Create AI-powered solutions to synthesize information from disconnected data sources
Develop and document best practices for using Claude 4.5 in quality engineering workflows
Support Control Plan development using AI-assisted data analysis
Collaborate with IT and Quality teams to overcome data format and accessibility challenges
Train quality team members on effective AI tool utilization
Required Qualifications
Must be a U.S. citizen or permanent resident.
Currently enrolled in a bachelor's degree program in Quality Engineering, Data Science, Computer Science or related discipline with completion of two years or more, or currently enrolled in a master's degree program.
Preferred Qualifications
Demonstrated experience applying AI/LLM tools (Claude, ChatGPT, etc.) to real-world data analysis problems
Foundation in statistical analysis and quality engineering principles
Understanding of Pareto analysis, control charts, and statistical process control (SPC)
Experience with data wrangling, ETL processes, and data integration challenges
Proficiency in Python, SQL, or similar languages for data manipulation and API integration
Understanding of prompt engineering and AI workflow design
Direct experience with Claude AI (Anthropic) or similar large language models
Experience building data pipelines or integrations between modern and legacy systems
Lean Six Sigma certification (Yellow Belt or higher) or coursework
Familiarity with API integration and automation tools
Experience with data visualization tools (e.g., Power BI, Tableau, Python libraries)
Exposure to manufacturing or aerospace environments
Understanding of quality management systems (AS9100, ISO 9001)
Experience documenting AI use cases and building reproducible AI workflows
Passion for the space industry and spacecraft manufacturing
Key Projects May Include
Developing Claude-based analysis pipelines for NCR trend analysis
Creating AI-assisted dashboards that synthesize data from multiple legacy systems
Building prompt libraries and workflows for quality engineering use cases
Documenting ROI and effectiveness of AI integration initiatives
Prototyping solutions for automated quality data insights
The base pay for this position within California is: $28.00 - $31.00 hourly
The salary range listed is based on two years or more of completed studies. This range will vary based on the number of years of experience and work location.
In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position ranges from our lowest geographic market up to our highest geographic market within California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, and Washington:
We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: **************************************
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Maxar's Career page at the top of each job posting.
To apply, submit your application via Maxar's Career page.
Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Auto-ApplyData Analyst Intern
Data science internship job in Oakland, CA
As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation.
Responsibilities
Collect, clean, and organize large datasets for analysis
Perform quantitative and qualitative analysis to identify trends and patterns
Support investment team in evaluating potential investment opportunities
Assist with financial modeling and forecasting
Conduct market research to identify industry trends and competitive landscapes
Create and maintain databases and analytical tools
Prepare reports and presentations for senior management and investors
Requirements
Strong analytical and problem-solving skills
Proficiency in Excel and data analysis tools such as Python or R
Excellent attention to detail and ability to work with large datasets
Strong verbal and written communication skills
Ability to work independently and within a team
Self-motivated and eager to learn about venture capital and private equity
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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