{"schemaVersion":"jobsearcher.job.v1","id":"99b62e5b8d94f135edd81ef1","url":"https://jobsearcher.com/jobs/99b62e5b8d94f135edd81ef1","canonicalUrl":"https://jobsearcher.com/jobs/99b62e5b8d94f135edd81ef1","title":"Data Analytics & Data Science Intern Spring & Summer 2027","description":"Simbe is building the AI-powered operating system for physical retail. Our autonomous robots and multimodal data collection systems turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and analytics to help retailers improve shelf availability, inventory accuracy, store execution, and operational decision-making.\r\nSimbe is looking for a Data Analytics & Data Science Intern to join our Data Science & Analytics team and help turn large-scale retail and robot data into reliable insights, analytical products, and internal tools.\r\nThis internship is designed for students who want hands-on experience working with production data systems and solving real analytical problems at the intersection of data engineering, analytics, AI, and robotics.\r\nWhy This Internship Is High Impact Work with real production data. Analyze data generated across Simbe's robot fleet, retail environments, and operational systems.\r\nLearn modern analytics engineering. Gain experience with SQL, Python, BigQuery, dbt, dimensional modeling, data quality, and BI workflows.\r\nContribute to meaningful work. Your project will align with an active team initiative rather than being isolated \"intern work.\"\r\nOwn a defined project. You'll have clear goals and an appropriately scoped problem you can meaningfully contribute to during the internship.\r\nConnect data to real-world outcomes. Help translate robot, store, inventory, service, and operational signals into useful insights and tools.\r\nLearn from experienced data practitioners. You'll work directly with Simbe's Data Science & Analytics team and have a dedicated mentor separate from your hiring manager.\r\nResponsibilities Own and contribute to a scoped project aligned with the Data Science & Analytics team's priorities during your internship.\r\nWrite and maintain SQL and Python used for data analysis, transformation, validation, or automation.\r\nWork with data in BigQuery and help transform raw information into trustworthy analytical datasets.\r\nContribute to dbt models, tests, documentation, and other analytics engineering workflows.\r\nSupport dimensional modeling and development of organized data marts for analytical and reporting use cases.\r\nBuild or improve dashboards and reporting in tools such as Looker.\r\nInvestigate data-quality issues, validate results, and help ensure metrics are accurate and reliable.\r\nAnalyze fleet, service, store, or retail data and communicate useful findings to technical and non-technical stakeholders.\r\nDepending on team priorities, contribute to AI-assisted analytics prototypes or tools that make data easier to explore and understand.\r\nCollaborate with Data Science, Engineering, Product, Operations, and other teams to understand data requirements and business context.\r\nCommunicate progress, technical decisions, challenges, and results throughout the internship.\r\nPresent your project, approach, results, and key learnings at the end of the program.\r\nRequired Qualifications Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Statistics, Analytics, Applied Mathematics, Engineering, or a related technical field.\r\nWe primarily target students in their final year of study and will also consider strong juniors.\r\nStrong SQL skills and comfort working with structured datasets.\r\nExperience using Python for data analysis, scripting, or automation.\r\nCoursework or hands-on experience in data engineering, analytics, data science, databases, or a related area.\r\nFamiliarity with Git or another source-control system.\r\nAbility to investigate data carefully, recognize when results do not make sense, and validate conclusions.\r\nStrong technical problem-solving skills and willingness to work through ambiguous or unfamiliar problems.\r\nStrong written and verbal communication skills.\r\nBonus Qualifications Experience with BigQuery, Google Cloud Platform, or another cloud data warehouse/platform.\r\nFamiliarity with dbt or another SQL-based data transformation framework.\r\nExposure to dimensional modeling concepts, including star schemas or Kimball-style modeling.\r\nExperience building dashboards or reports in Looker, Tableau, Power BI, or a similar BI tool.\r\nFamiliarity with data pipelines, ETL/ELT, workflow orchestration, or tools such as Airflow.\r\nExperience with pandas, Jupyter notebooks, or other Python data tooling.\r\nExperience writing automated data tests, monitoring data quality, or documenting analytical models and metrics.\r\nPersonal data, software, analytics, or AI projects outside of coursework.\r\nPrevious internship, research, or project experience involving data engineering, analytics engineering, BI, or data science.\r\nExperience using AI-assisted coding, LLMs, or automation tools to accelerate analysis or software development, with good judgment around validating generated output.\r\nInterest in building conversational or natural-language interfaces over structured data.\r\nInternship Program Structure Interns join Simbe as part of a structured cohort and work full time from our Burlingame, California headquarters.\r\nEach intern will have\r\nA defined technical project aligned with current team priorities\r\nA hiring manager responsible for project scope, performance, and feedback\r\nA dedicated mentor separate from the hiring manager\r\nStructured midpoint feedback\r\nRegular opportunities to collaborate with and learn from Simbe engineers and data practitioners\r\nA final project presentation at the end of the internship\r\nWe do not believe in creating busywork for interns. Your project will be selected closer to your start date based on active team priorities so that you can contribute to meaningful work alongside our full-time team.\r\nSimbe Values: R. E. T. A. I. L. Result Driven — We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.\r\nEmpathetic — We are sensitive and mindful. We support each other in challenging times, both professionally and personally.\r\nTransparent — We value open communication internally, and with our partners and customers. We are receptive to feedback.\r\nAgile — We are eager to learn and adapt quickly to changes and customer needs.\r\nInnovative — We are bold and innovative, with an intense focus on product design, user experience, and customer value.\r\nLeaders — We strive for excellence. We are accountable, the best at what we do, and leaders in our field.\r\n35 - 40 USD\r\nThis internship is a W-2, non-exempt position. Compensation within the posted range may vary based on relevant skills, prior experience, academic background, and other objective job-related considerations.#J-18808-Ljbffr","company":"Simbe Robotics","rawCompany":"simbe robotics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-02T15:55:08.170Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics & Data Science Intern Spring & Summer 2027","description":"Simbe is building the AI-powered operating system for physical retail. Our autonomous robots and multimodal data collection systems turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and analytics to help retailers improve shelf availability, inventory accuracy, store execution, and operational decision-making.\r\nSimbe is looking for a Data Analytics & Data Science Intern to join our Data Science & Analytics team and help turn large-scale retail and robot data into reliable insights, analytical products, and internal tools.\r\nThis internship is designed for students who want hands-on experience working with production data systems and solving real analytical problems at the intersection of data engineering, analytics, AI, and robotics.\r\nWhy This Internship Is High Impact Work with real production data. Analyze data generated across Simbe's robot fleet, retail environments, and operational systems.\r\nLearn modern analytics engineering. Gain experience with SQL, Python, BigQuery, dbt, dimensional modeling, data quality, and BI workflows.\r\nContribute to meaningful work. Your project will align with an active team initiative rather than being isolated \"intern work.\"\r\nOwn a defined project. You'll have clear goals and an appropriately scoped problem you can meaningfully contribute to during the internship.\r\nConnect data to real-world outcomes. Help translate robot, store, inventory, service, and operational signals into useful insights and tools.\r\nLearn from experienced data practitioners. You'll work directly with Simbe's Data Science & Analytics team and have a dedicated mentor separate from your hiring manager.\r\nResponsibilities Own and contribute to a scoped project aligned with the Data Science & Analytics team's priorities during your internship.\r\nWrite and maintain SQL and Python used for data analysis, transformation, validation, or automation.\r\nWork with data in BigQuery and help transform raw information into trustworthy analytical datasets.\r\nContribute to dbt models, tests, documentation, and other analytics engineering workflows.\r\nSupport dimensional modeling and development of organized data marts for analytical and reporting use cases.\r\nBuild or improve dashboards and reporting in tools such as Looker.\r\nInvestigate data-quality issues, validate results, and help ensure metrics are accurate and reliable.\r\nAnalyze fleet, service, store, or retail data and communicate useful findings to technical and non-technical stakeholders.\r\nDepending on team priorities, contribute to AI-assisted analytics prototypes or tools that make data easier to explore and understand.\r\nCollaborate with Data Science, Engineering, Product, Operations, and other teams to understand data requirements and business context.\r\nCommunicate progress, technical decisions, challenges, and results throughout the internship.\r\nPresent your project, approach, results, and key learnings at the end of the program.\r\nRequired Qualifications Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Statistics, Analytics, Applied Mathematics, Engineering, or a related technical field.\r\nWe primarily target students in their final year of study and will also consider strong juniors.\r\nStrong SQL skills and comfort working with structured datasets.\r\nExperience using Python for data analysis, scripting, or automation.\r\nCoursework or hands-on experience in data engineering, analytics, data science, databases, or a related area.\r\nFamiliarity with Git or another source-control system.\r\nAbility to investigate data carefully, recognize when results do not make sense, and validate conclusions.\r\nStrong technical problem-solving skills and willingness to work through ambiguous or unfamiliar problems.\r\nStrong written and verbal communication skills.\r\nBonus Qualifications Experience with BigQuery, Google Cloud Platform, or another cloud data warehouse/platform.\r\nFamiliarity with dbt or another SQL-based data transformation framework.\r\nExposure to dimensional modeling concepts, including star schemas or Kimball-style modeling.\r\nExperience building dashboards or reports in Looker, Tableau, Power BI, or a similar BI tool.\r\nFamiliarity with data pipelines, ETL/ELT, workflow orchestration, or tools such as Airflow.\r\nExperience with pandas, Jupyter notebooks, or other Python data tooling.\r\nExperience writing automated data tests, monitoring data quality, or documenting analytical models and metrics.\r\nPersonal data, software, analytics, or AI projects outside of coursework.\r\nPrevious internship, research, or project experience involving data engineering, analytics engineering, BI, or data science.\r\nExperience using AI-assisted coding, LLMs, or automation tools to accelerate analysis or software development, with good judgment around validating generated output.\r\nInterest in building conversational or natural-language interfaces over structured data.\r\nInternship Program Structure Interns join Simbe as part of a structured cohort and work full time from our Burlingame, California headquarters.\r\nEach intern will have\r\nA defined technical project aligned with current team priorities\r\nA hiring manager responsible for project scope, performance, and feedback\r\nA dedicated mentor separate from the hiring manager\r\nStructured midpoint feedback\r\nRegular opportunities to collaborate with and learn from Simbe engineers and data practitioners\r\nA final project presentation at the end of the internship\r\nWe do not believe in creating busywork for interns. Your project will be selected closer to your start date based on active team priorities so that you can contribute to meaningful work alongside our full-time team.\r\nSimbe Values: R. E. T. A. I. L. Result Driven — We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.\r\nEmpathetic — We are sensitive and mindful. We support each other in challenging times, both professionally and personally.\r\nTransparent — We value open communication internally, and with our partners and customers. We are receptive to feedback.\r\nAgile — We are eager to learn and adapt quickly to changes and customer needs.\r\nInnovative — We are bold and innovative, with an intense focus on product design, user experience, and customer value.\r\nLeaders — We strive for excellence. We are accountable, the best at what we do, and leaders in our field.\r\n35 - 40 USD\r\nThis internship is a W-2, non-exempt position. Compensation within the posted range may vary based on relevant skills, prior experience, academic background, and other objective job-related considerations.#J-18808-Ljbffr","datePosted":"2026-11-02T15:55:08.170Z","dateModified":"2026-11-02T15:55:08.170Z","hiringOrganization":{"@type":"Organization","name":"Simbe Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"99b62e5b8d94f135edd81ef1"},"url":"https://jobsearcher.com/jobs/99b62e5b8d94f135edd81ef1"}}