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  • Research Data Analyst 3 or 4 Oakland, CA, Job ID 80657

    University of California Agriculture and Natural Resources 3.6company rating

    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
    $88.9k-158.5k yearly 4d ago
  • Data Analyst - IV (USC/GC Only)

    Varite Inc. 4.2company rating

    Data science internship job in San Francisco, CA

    VARITE is looking for a qualified Data Analyst - IV for one of its clients. WHAT THE CLIENT DOES? A U.S. based regional bank and financial services company that provides a wide range of banking products and services, including personal banking, business banking, mortgages, wealth management, and investment services. WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services. **Note: We only work on W2, we do not work on C2C/1099, we do not provide Visa sponsorship, kindly refrain from applying if you do not meet this criteria, thank you for understanding!** HERE'S WHAT YOU'LL DO: Job Title: Data Analyst - IV (USC/GC Only) Duration: 12 Months Pay Rate: $90-106/hr. on W2 Work Mode: Remote role Job Description Essential Responsibilities: • This is a hands-on role. Applicants should not be managers or architects. • Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors. • Monitor application, production and/or implementation support, both technical and user, for new releases. • Consult on application testing strategies, document observations and coordinate responses. • Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely. • Document end-user interactions into the automated call logging tools for tracking and productivity purposes. • Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management. • Ability to perform involved, independent research and develop highly creative work products and proposals. • Demonstrate a high degree of creativity in addressing problems/issues and opportunities. • Demonstrated concentration on customer service orientation. • Ability to work effectively in a highly matrix or virtual organization. • Strong verbal and written communication skills with an ability to present/facilitate effective training sessions. • Strong experience in Agile delivery, requirements engineering, backlog development and refinement. • Strong experience in stakeholder engagement. • Experience working with distributed teams, and providers of software solutions. • Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions. • Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira. • Excellent analytical and design skills. • CBAP, Agile Analysis Certification or similar certifications preferred. • Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday. • Hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions on a data lake house hosted in a cloud environment utilizing technologies such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python and/or Alteryx. Quals-- • Sr. Technical Analyst roles for one-year assignments to implement and manage data products, ensuring that our data pipelines are scalable, secure, and efficient. Requirements: Specific skill mixes we need from the tech stack: o Databricks AND (R or sparklyr) OR (Pyspark or Python) o Databricks AND (Starburst OR Tableau) o Databricks AND (Collibra OR Altreyx) HANDS-ON Experience for the following: • Databricks -Pyspark, Data Quality Framework, Building custom dashboards • R/SparklyR - as a data analyst • Pyspark/Python -with scripting and automation, performance tuning and debug capabilities • Starburst - as a data analyst or Starburst developer or support engineer • Collibra - as a Collibra developer or support engineer • Alteryx - as a developer or support engineer • Tableau - as a developer with performance tuning / debug capabilities • Immuta - As a security analyst. Must have good Role Based and Attribute Based Security knowledge.
    $90-106 hourly 4d ago
  • Staff Data Scientist

    Quantix Search

    Data science internship job in Santa Rosa, 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.
    $250k-300k yearly 2d ago
  • Data Scientist

    Skale 3.7company rating

    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
    $123k-171k yearly est. 22h ago
  • Founding Data Scientist (GTM)

    Greylock Partners 4.5company rating

    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.
    $116k-155k yearly est. 3d ago
  • Air Quality Data Analyst

    Brightline Defense

    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.
    $36 hourly 2d ago
  • Data Labeling Intern

    Swingvision

    Data science internship job in Berkeley, CA

    SwingVision is the AI tennis & pickleball app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes. Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what's possible on a mobile device. Recent achievements include:• 2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day • Featured in Apple Keynote events, Forbes, Esquire, CNET, The New York Times• Trusted by 50k+ players, coaches, and federations all across the globe• Investors include Andy Roddick, Lindsay Davenport, and James Blake 💼 The Role We are currently seeking part-time Data Labelers to bring our ball-tracking A.I. to all racket sports. As a data labeler in our startup, you will work alongside our Machine Learning team in Berkeley, become knowledgeable in basic computer vision concepts, and learn how a consumer artificial intelligence product is made.Responsibilities Record video of pickleball & tennis players on the court Accurately label images of pickleball/tennis balls and players Update data labeling guidelines with edge cases and other difficult scenarios Provide feedback & suggestions to help improve the design of our labeling interface Maintain a labeling accuracy of greater than 95% Requirements Agility in using a keyboard & mouse Deep attention to detail, quality and patience Thorough knowledge of tennis or pickleball terminology (e.g. serviceline, baseline, doubles alley, deuce court, ad court, kitchen/NVZ, forehand, backhand, topspin, slice, etc.) Preferred Comfortability using mac OS Passion for playing video games with a keyboard & mouse Bonus Avid user of the SwingVision app Passion for Racket Sports or Artificial Intelligence SwingVision is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
    $51k-101k yearly est. Auto-Apply 60d+ ago
  • Data Science Intern (Winter or Summer 2026)

    Notion

    Data science internship job in San Francisco, CA

    About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. This internship will take place from January - April or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. About The Role: Millions of people use Notion - and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in. You will be one of our first data science interns and will help us forge a performant and reliable path forward to Notion's future. During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Targeting a full time start date prior to Summer 2027. This internship will take place from January - April (for winter) or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. Previous data science internship experience. Proficient in SQL for data extraction, transformation, and analysis. Working towards proficiency in one or more scripting languages such as Python or R. You find large challenges exciting and enjoy discovering problems as much as solving them. You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. Skills You'll Need to Bring: Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad. Willingness to learn: If you haven't worked in the SaaS productivity tool space before or have never analyzed an A/B test, you are open to acquiring the necessary domain knowledge and skills to contribute. Balance work quality and speed: You can deliver high-quality, accurate analyses while recognizing that the goal is to influence business decisions rather than achieve perfect measurement. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. Nice to Haves: You have previous intern experience working with product, engineering, or GTM teams. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master's. #LI-HYBRID
    $55-59 hourly Auto-Apply 60d+ ago
  • Data Scientist Intern (Spring 2026)

    Zipline 4.7company rating

    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.
    $44-48 hourly Auto-Apply 60d+ ago
  • Jr. Data Analyst

    Artech Information System 4.8company rating

    Data science internship job in Walnut Creek, CA

    Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education : Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************
    $55k-77k yearly est. Easy Apply 14h ago
  • Data Analyst Junior and Mid

    Remote Career 4.1company rating

    Data science internship job in San Francisco, CA

    Expertise in SQL skills to profile the data. Analyse, Profile and systematically present the data for Business and management team understanding. ETL development and Data Migration tasks Interpreting the functional aspect of data & reporting aspect of data. Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source. Identifying patterns and trends in data sets Working alongside teams within the business, Solution team or the Technical team to establish business needs. Documenting the data mapping rules for migration. Skills and experience Skills- 1+ years of experience in Data Analysis & Development experience Junior role 3+ years of experience in Data Analysis & Development experience Mid role Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions. You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders. Experience in Health Cover and insurance domain desirable not mandatory. Qualification- Relevant degree in IT industry Certification in Relevant Technologies
    $65k-93k yearly est. 60d+ ago
  • Data Analyst Intern, application via RippleMatch

    Ripplematch Internships 3.9company rating

    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.
    $43k-72k yearly est. Auto-Apply 60d+ ago
  • Data and Evaluation Non-paid Internship

    Hidden Genius Project, Inc. 3.7company rating

    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.
    $42k-71k yearly est. 28d ago
  • RESEARCH DATA ANALYST II

    State of California 4.5company rating

    Data science internship job in Sacramento, CA

    This position supports the California Department of Public Health's (CDPH) mission and strategic plan by developing a variety of complex health data research reports. The Research Data Analyst II (RDA II) performs assessments which may include established objectives using various statistical and informational databases and the application of appropriate research designs and methodologies in the report analysis. Acts as subject matter expert in data assessment and product development for health-related data topics and participates in projects regarding other health related data research. Creates complex reports utilizing R, SQL, and PowerBl. Resolves issues and oversees project development, as well as interprets and applies statutes, policies, procedures, rules, regulations, and legal opinions. The incumbent works under the general supervision of the Research Data Supervisor I, Chief of the Data Reporting Unit. In July 2025, the State of California implemented the Personal Leave Program (PLP) 2025. This program temporarily reduces employees' monthly base pay in exchange for paid leave credits. This position is subject to PLP 2025 and will have a monthly base pay reduction of 3% in exchange for 5 hours of leave credits through June 2027. The salary ranges shown on this job posting do not reflect the salary reduction. Please let us know how you heard about our position by taking this brief survey: ********************************************** You will find additional information about the job in the Duty Statement. Working Conditions Telework Information This position may be eligible for telework. The amount of telework permitted is at the discretion of the Department and is subject to change, consistent with CDPH's Telework Program. All employees who telework are required to be California residents in accordance with Government Code 14200. Candidates who reside outside of the state of California may be interviewed; however, the selected candidate must have a primary residency in the state of California prior to appointment (and continue to maintain California residency) as a condition of employment. Failure to meet this requirement may result in the job offer being rescinded. Travel may be required for this position. Reimbursement for travel takes into consideration an employee's designated headquarters, as reflected in the duty statement, and is subject to regulations and bargaining unit contract provisions. All commute expenses to the designated headquarters office will be the responsibility of the selected candidate. The headquarters office location for this position is identified in the attached duty statement. Minimum Requirements You will find the Minimum Requirements in the Class Specification. * RESEARCH DATA ANALYST II Additional Documents * Job Application Package Checklist * Duty Statement Position Details Job Code #: JC-501583 Position #(s): ************-706 Working Title: Data Analyst Classification: RESEARCH DATA ANALYST II $6,647.00 - $8,325.00 A New to State candidates will be hired into the minimum salary of the classification or minimum of alternate range when applicable. # of Positions: 1 Work Location: Sacramento County Telework: Hybrid Job Type: Permanent, Full Time Department Information At the California Department of Public Health (CDPH), equity, diversity, and inclusion are at the core of our mission to advance the health and well-being of California's diverse people and communities. We are genuinely and strongly committed to cultivating and preserving a culture of inclusion and connectedness where we can grow and learn together with a diverse team of employees. In recruiting for team members, we welcome the unique contributions that you can bring to us and the work we do. The Vital Records and Statistics Division (VRSD) is responsible for department-wide initiatives to improve the effectiveness of our work through better health information systems, increased application of epidemiologic methods of analysis, strong liaisons with public health organizations and schools of public health, and effective partnerships with local health agencies and professionals. VRSD houses the Office of Vital Records, responsible for registering all California vital events and providing birth, death, and marriage records to the public. In addition, VRSD is involved in many cross-cutting and innovative data projects including the statewide Open Data Portal and Health Information Exchange. The Research and Analytics Branch (RAB), Data Analytics Section (DAS), Data Reporting Unit (DAR) supports the California Department of Public Health's (CDPH) mission, "To optimize the health and wellbeing of the people of California." RAB is integral to this mission by collecting data for birth, death, and fetal death vital events, developing data products related to vital events, and creating annual source data files of these data. Free Parking in Natomas! * The salary information listed on this advertisement may not reflect recent salary increases from salary adjustments or changes in the fiscal year. * The CDPH is an E-Verify employer. Department Website: *********************** Special Requirements In order to be considered for this position, you must submit a copy of your college transcripts official or un-official and/or Degree for education verification. For experience/education to qualify during the application screening process, and to ensure that minimum qualifications can be determined, applicants should include all employment history on the Employment Application (STD 678) and/or Resume, including detailed job descriptions, hours worked per week, and start/end dates (MM/DD/YYYY). Application packages without this information will experience delayed processing times and your eligibility for this position may be impacted. A completed State application (STD. 678) and any other relevant documents (e.g. unofficial transcript, copy of degree, resume, etc.) should be submitted electronically via your CalCareers Account. Please reference Job Control # (501583) and indicate the basis of your eligibility in the Examination(s) or Job Title(s) section. SROA and surplus candidates should submit a copy of their letter with their application. Please remove any confidential information (i.e. social security number, date of birth) from your documents prior to submission. Complete Application Packages (including your Examination/Employment Application (STD 678) and applicable or required documents) must be submitted to apply for this Job Posting. Application Packages may be submitted electronically through your CalCareers Account at ********************** Submitting an electronic application through your CalCareers account is strongly recommended since electronic applications will be received/processed faster than other methods of filing. Please submit only one application. If you are unable to submit your application electronically through your CalCareers account, please email ***************** for assistance and a CDPH Human Resources Division staff member will contact you to assist with the online application process or, a hard copy application package may be submitted through an alternative method as explained in the How to Apply section below. When submitting your application in hard copy, a completed copy of the Application Package listing must be included. Application Instructions Completed applications and all required documents must be received or postmarked by the Final Filing Date in order to be considered. Dates printed on Mobile Bar Codes, such as the Quick Response (QR) Codes available at the USPS, are not considered Postmark dates for the purpose of determining timely filing of an application. Final Filing Date: 12/26/2025 Who May Apply Individuals who are currently in the classification, eligible for lateral transfer, eligible for reinstatement, have list or LEAP eligibility, are in the process of obtaining list eligibility, or have SROA and/or Surplus eligibility (please attach your letter, if available). SROA and Surplus candidates are given priority; therefore, individuals with other eligibility may be considered in the event no SROA or Surplus candidates apply. Individuals who are eligible for a Training and Development assignment may also be considered for this position(s). Applications will be screened and only the most qualified applicants will be selected to move forward in the selection process. Applicants must meet the Minimum Qualifications stated in the Classification Specification(s). How To Apply Complete Application Packages (including your Examination/Employment Application (STD 678) and applicable or required documents) must be submitted to apply for this Job Posting. Application Packages may be submitted electronically through your CalCareer Account at ********************** When submitting your application in hard copy, a completed copy of the Application Package listing must be included. If you choose to not apply electronically, a hard copy application package may be submitted through an alternative method listed below: Address for Mailing Application Packages You may submit your application and any applicable or required documents to: Department of Public Health CCAU Mailing Attn: Classification & Certification Unit P.O. Box 997378 MS 1700-1702 Sacramento, CA 95899-7378 Address for Drop-Off Application Packages You may drop off your application and any applicable or required documents at: Department of Public Health CCAU Drop Off Classification & Certification Unit 1615 Capitol Avenue Suite 73.430 Sacramento, CA 95814 08:00 AM - 05:00 PM Required Application Package Documents The following items are required to be submitted with your application. Applicants who do not submit the required items timely may not be considered for this job: * Current version of the State Examination/Employment Application STD Form 678 (when not applying electronically), or the Electronic State Employment Application through your Applicant Account at ********************** All Experience and Education relating to the Minimum Qualifications listed on the Classification Specification should be included to demonstrate how you meet the Minimum Qualifications for the position. * Resume is required and must be included. * Other - Please see Supplemental Questionnaire instructions below at end of Posting. Any applications received that do not provide a written response to the SQ will not be scored/reviewed. Applicants requiring reasonable accommodations for the hiring interview process must request the necessary accommodations if scheduled for a hiring interview. The request should be made at the time of contact to schedule the interview. Questions regarding reasonable accommodations may be directed to the EEO contact listed on this job posting. Desirable Qualifications In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate: * Excellent written and verbal communications skills. * Team leadership skills. * Strong attention to detail, work both independently and as part of a team, perform work accurately and throughly to meet deadlines. * Data analytics background with intermediate experience in data software and computer skills in a coding language (i.e., SAS, R, Python, and/or SQL), Databricks, Microsoft Excel, and any data visualization software (e.g., Power Bl, Tableau). * Data analytics and statistics experience with a background in quantitative and qualitative research skills. * Confidentiality, proactive initiative, and originality. Benefits Benefit information can be found on the CalHR website and the CalPERS website. Contact Information The Human Resources Contact is available to answer questions regarding the application process. The Hiring Unit Contact is available to answer questions regarding the position. Department Website: *********************** Human Resources Contact: Human Resources Division ************** ***************** Hiring Unit Contact: Khou Vang ************** ********************* Please direct requests for Reasonable Accommodations to the interview scheduler at the time the interview is being scheduled. You may direct any additional questions regarding Reasonable Accommodations or Equal Employment Opportunity for this position(s) to the Department's EEO Office. EEO Contact: EEO Office ************** California Relay Service: ************** (TTY), ************** (Voice) TTY is a Telecommunications Device for the Deaf, and is reachable only from phones equipped with a TTY Device. Supplemental Questionnaire (SQ) Instructions A Supplemental Questionnaire (SQ) is required for this position. The SQ must be limited to one (1) page in total length, minimum twelve (12) point font. Please insert your name in the right corner, title the document "Supplemental Questionnaire", and number your responses to the following: * Please describe your experience leading a data analysis project that produced an actionable result or influenced the decision-making process in a professional setting. Please describe the results, particularly any reports or presentations produced. Equal Opportunity Employer The State of California is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation. It is an objective of the State of California to achieve a drug-free work place. Any applicant for state employment will be expected to behave in accordance with this objective because the use of illegal drugs is inconsistent with the law of the State, the rules governing Civil Service, and the special trust placed in public servants.
    $60k-86k yearly est. 3d ago
  • Research, Pre-Training Data

    Thinking MacHines Lab

    Data science internship job in San Francisco, CA

    Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You'll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance. You'll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It's ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who's excited by the challenge of shaping frontier AI. This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You'll Do Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data. Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources. Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly. Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use. Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior. Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia. Skills and Qualifications Minimum qualifications: Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales. Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some: A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets. Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models. Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation. Contributions to open datasets, research publications, or data tooling. PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
    $58k-87k yearly est. Auto-Apply 23d ago
  • Data Scientist Intern

    Brilent

    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.
    $37k-60k yearly est. 60d+ ago
  • Healthcare Research Data Annotator

    Labelbox 4.3company rating

    Data science internship job in San Francisco, CA

    Remote-first labeling and verification of research datasets, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets.
    $59k-85k yearly est. Auto-Apply 7d ago
  • Data Analyst Intern

    Cai 4.8company rating

    Data science internship job in Sacramento, CA

    **Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
    $20 hourly 60d+ ago
  • Research Data Analyst 3 Oakland, CA, Job ID 81754

    University of California Agriculture and Natural Resources 3.6company rating

    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
    $88.9k-126.4k yearly 4d ago
  • Staff Data Scientist

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    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.
    $250k-300k yearly 2d ago

Learn more about data science internship jobs

How much does a data science internship earn in Fairfield, CA?

The average data science internship in Fairfield, CA earns between $36,000 and $134,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in Fairfield, CA

$70,000
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