Data Science Internship jobs at Shure - 220 jobs

A leading technology company is seeking a Mid Data Scientist in San Diego, California. In this role, you will analyze diverse data sets using advanced data analytics techniques to deliver actionable insights for complex problems. The ideal candidate will have a bachelor's degree, experience in data science, and a passion for transforming data into meaningful information. Join us to leverage AI and machine learning to tackle global challenges and drive data-driven decision-making. #J-18808-Ljbffr

Apply for JobJob ID696282 Full/Part TimePart-Time Regular/TemporaryTemporary Add to Favorite JobsEmail this Job What Your Job Will Be Like Sandia National Laboratories is seeking enrolled college students at Tribal Colleges and Universities (or students who have officially transitioned from a TCU feeder school) for 2026 undergraduate summer internships, as part of the DOE/NNSA funded TEPP/BEST (Tribal Education Partnership Program / Business Enablers in Science & Technology) summer internship program. Interns will be placed in our Mission Services organization, supporting various business needs of the Laboratories, and partnering closely with the Mission Services Talent Acquisition Team (MSTAT) Summer Internship Program. We are active in identifying candidates with relevant academic and work experience to provide valuable internships, build a pipeline for possible future year-round internships and/or regular employment, and to meet near-term project deliverables. Selected applicants will be interviewed by a subcommittee of business managers and/or business staff. Subsequently, successful applicants will be matched for placement based on internship interests and Sandia's project needs. Those selected are expected to commit to ten (10) to fourteen (14) weeks of employment over the summer. In addition to a matrix assignment, the program consists of on-boarding meetings, possible group projects, and networking events, among other business activities. Interviews are expected to take place between mid-January and early February 2026. Interns will be expected to team with others to support Sandia's mission by adding value, improving operations, offering innovative solutions and appropriately managing risk for the corporation. Work will reside within specific organizations at Sandia that support various business functions such as financial management, project management and/or procurement/supply chain. Examples of past team projects include: Research and recommend ways to leverage technology to improve business products and workflow. Research and recommend opportunities to improve the efficiency and effectiveness of meetings. Research and recommend a model for segmenting construction commodity procurement's to proactively address risk. Day to day activities might include assisting with cost estimating, budget management, website development and maintenance (Confluence, SharePoint, WordPress), generating reports, or implementing solutions to improve workflows or reports. Salary Range At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here. Qualifications We Require You bring the confidence and skills to be eligible for the job by meeting these minimum requirements: Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited related undergraduate program Minimum cumulative GPA of 3.0/4.0 Ability to work up to 40 hours per week during the summer U.S. citizens, legal permanent residents, asylees or refugees in the U.S Note: If you have not earned a HS diploma or equivalent, please apply to a high school intern position. Qualifications We Desire Aligned with approved DOE/NNSA funding, applicants must be officially accepted into a Tribal College & University or officially transitioned from a TCU feeder school and pursuing a business-related degree. Degree program in a relevant business discipline: Finance Accounting Project Management Procurement/Contracting Logistics/Operations Human Resources Economics Demonstrated leadership Problem solving skills Communication skills Time management skills Research experience Microsoft Office proficiency Introduction to scheduling software (ex. MS Project, Primavera P6) Experience working with large data sets Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. About Our Team The TEPP/BEST Program and Mission Services Talent Acquisition Team are focused on recruiting efforts for Division 10000, Mission Services. Mission Services leads financial management systems, project management processes, business excellence and process improvements, work authorization systems, information technology, purchasing, and other administrative services. Division 10000 also facilitates cost estimating, budgeting, and business planning activities across Sandia through a combination of business staff within and matrixed to various Divisions and Programs. The MSI Partnership Program (MSIPP) is designed to advance the Department of Energys (DOE) National Nuclear Security Administrations (NNSA) workforce development and research priorities by building strong collaborations with Minority Serving Institutions (MSIs). The program focuses on strengthening institutional capacity, advancing research capacity, and enhancing pathways for students in STEM disciplines to pursue careers in the nuclear security enterprise. Since its inception, MSIPP has focused on building institutional capacity at MSIs and creating robust career pathways to DOE laboratories, plants, and sites. Together, these programs foster excellence in STEM education and advance the mission of supporting the Nations nuclear security needs. About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: *These benefits vary by job classification. Security Clearance This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking PhD students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research. + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision,Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes.Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing. + **Software Engineering & Architectures** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing** : We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering.Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization. + **Operational Readiness & Enablement** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: cloud computing, DevSecOps, software testing, data and AI engineering, project management Positions are available in Richland, Seattle, WA and internships may be supported remotely or on-campus at one of these locations, based on business need. ****HOW TO APPLY**** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: Step 1: Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). Step 2: Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable. **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Role Description As a Dropbox Data Engineer Intern in the Customer Strategy Organization (CSO), you'll be part of a top-notch learning experience working alongside experienced individuals from diverse backgrounds. You'll have a dedicated Dropboxer mentoring you every step of the way as you build foundational and practical data engineering skills. Our goal is to create a robust and impactful learning experience. You can expect to learn how modern data platforms and pipelines are designed, built, and operated to support analytics, data science, and business decision-making across our revenue, marketing, and product teams. We're all about feedback, so anticipate continual guidance refining your approach. And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network. We will work with you to accommodate your school end and start dates, culminating in a minimum of a 12-week long internship. In this role, you will work with a wide range of data sources-including customer surveys, support tickets, call transcripts, and product usage data-to help design, build, and maintain reliable data pipelines and datasets. You will gain hands-on experience with data ingestion, transformation, and quality validation. You are a self-starter with a strong affinity for problem-solving, a solid foundation in programming and data concepts, and an eagerness to learn scalable, production-ready data systems. You bring a curious, detail-oriented mindset and are excited to experiment with new tools, technologies, and engineering patterns. Responsibilities Design, build, and maintain data pipelines that ingest and process structured and unstructured data sources such as surveys, support tickets, call transcripts, and product usage data. Develop and experiment with scalable data processing workflows that support downstream analytics, machine learning, and large language model (LLM) use cases. Transform, validate, and model large, multi-dimensional customer behavior and usage datasets to ensure they are reliable, well-structured, and analytics-ready. Partner with data scientists, analysts, and business stakeholders to enable clear understanding and effective use of data through well-defined datasets, documentation, and data quality standards. Document data pipelines, schemas, and engineering best practices, and share learnings within the team to help promote a strong, data-driven culture at Dropbox. Collaborate proactively with stakeholders across Customer Experience and Success to understand business needs, translate requirements into technical data solutions, and support accurate and timely data delivery. Requirements Currently enrolled as an undergraduate (sophomore or above) or graduate student, with an expected graduation date of 2027 or later, majoring in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field. Strong written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate effectively with both technical and non-technical partners. Familiarity with core data engineering concepts, including data ingestion, transformation, and storage workflows. Good programming skills in Python, with experience using libraries commonly used for data processing and pipeline development (e.g., pandas, PySpark, or similar). Preferred Qualifications Experience working with SQL and querying large datasets in relational or cloud-based data warehouses. Basic familiarity with data modeling concepts (e.g., dimensional models, schemas) and data quality or validation practices. CompensationUS Pay Range$7,500-$7,500 USD

Role Description As a Dropbox Data Science intern in the Customer Strategy Organization (CSO) you are part of a top-notch learning experience with data scientists from all backgrounds. You'll have a dedicated Dropboxer by your side, mentoring you every step of the way. Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams. We're all about feedback, so anticipate continual guidance refining your approach. And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network. We will work with you to accommodate your school end and start dates culminating in a minimum of a 12-week long internship. In this role, you will analyze a wide range of data sources, including customer surveys, support tickets, call transcripts, and product usage data, to identify trends, insights, and areas of opportunity. You will gain hands-on experience applying statistical methods, natural language processing (NLP) techniques and Large Language Models (LLM) to real-world customer problems. You are a self-starter with a strong affinity for problem-solving and a solid foundation in data analysis and statistical concepts. You bring a curious, analytical mindset and are eager to learn and experiment with new tools and approaches. Responsibilities Apply natural language processing (NLP) techniques to identify trends and patterns in unstructured text data such as surveys, support tickets, and call transcripts. Develop and experiment with solutions using large language models (LLMs) to help automate and scale analytical processes. Use machine learning and statistical methods to extract actionable insights from large, multi-dimensional customer behavior and usage datasets. Communicate complex analytical concepts to non-technical audiences through clear written and verbal communication, supported by compelling data visualizations. Document, gather, and share best practices and insights within the team to help promote a data-driven culture at Dropbox. Collaborate proactively with stakeholders across Customer Experience and Success to understand business needs and support accurate and relevant analytical deliverables. Requirements Currently enrolled as an undergraduate (sophomore or above) or graduate student, with an expected graduation date of 2027 or later, majoring in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field. Strong written and verbal communication skills, with the ability to explain technical concepts clearly. Familiarity with data analysis workflows and foundational machine learning concepts. Strong programming skills in Python, with experience using data science libraries such as pandas, NumPy, scikit-learn, or similar. Preferred Qualifications Experience working with SQL and/or querying large datasets. Basic familiarity with natural language processing (NLP) techniques and models (e.g., BERT or similar transformer-based models). Familiarity with large language models (LLMs), including prompt design and basic evaluation techniques. CompensationUS Pay Range$7,500-$7,500 USD

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$203,200-$274,900 USDUS Zone 3$180,500-$244,300 USD

Mizuho is a bank on the rise climbing the league tables, disrupting the status quo and attracting top talent. Positions are available across investment and corporate banking, capital markets, advisory, research, sales & trading, derivatives and corporate functions. We are looking for candidates who want to contribute to our entrepreneurial culture where people at all levels are inspired to share ideas. Our creativity sets us apart, and our commitment drives results in creating bespoke, client-focused solutions. If you are interested in working for an organization with a growth mindset that is a global leader in financial services, we would like to hear from you. General: The Data Stewardship Intern will be part of the Data Stewardship Tower, which manages the operating model for data ownership across the organization. This position is responsible for working closely with the Tower Lead, participating in weekly intern cohort programming, and collaborating with other interns on a group project. Role Description: As the Data Stewardship Intern you will assist the Data Stewardship Tower in monitoring initiatives that strengthen data governance, enable advanced analytics and facilitate access to data. This is an excellent opportunity to gain hands-on experience in data management, visualization, and best practice documentation within a strategic enterprise setting. A general understanding of Data Management & Analytics systems, preparation of documentation, spreadsheets & presentations to enhance executive reporting capabilities are part of the role. Functional Responsibilities: Perform Basic Data Analysis and Visualization: Assist in analyzing datasets to identify trends and insights. Create clear and compelling visualizations to support reporting and decision-making. Support Documentation and Best Practices: Help organize and document data stewardship processes, standards, and workflows. Contribute to creating reference materials for metadata management, lineage capture, and data quality monitoring. Collaborate with Data Stewardship Team: Participate in meetings and discussions on Data Management deployment strategies Assist in preparing materials for Data Stewards and EDMO leadership to provide visibility into data initiatives. Job Knowledge Requirements: Basic knowledge of data analysis tools (Excel, SQL, or Python preferred). Familiarity with data visualization tools (Power BI or similar). Strong organizational and documentation skills. Interest in data governance, metadata management, and AI-driven analytics. Qualifications: Current students with an expected graduation date of May/June 2027 Currently pursuing a degree in Data Science, Computer Science, Information Systems, Business Analytics, or related field. Salary: $35/ hour Other requirements Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process. Company Overview Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill , Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit *********************** Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.

You don t see it, but it s there. Our employees work on the world s most advanced electronics from saving emissions in the City of Lights to powering the Mars Rover to protecting the F35 fighter jet. At Electronic Systems, you ll be among the brightest minds, working on the aerospace and defense industry s most difficult problems. Drawing strength from our differences, we re innovating for the future. And you can, too. Our flexible work environment provides you a chance to change the world without giving up your personal life. We put our customers first exemplified by our missions: We Protect Those Who Protect Us and We Innovate For Those Who Move The World TM. Sound like a team you want to be a part of? Come build your career with BAE Systems. In Controls & Avionics Solutions, you will have the opportunity to help define and develop the next generation of avionics whether it is fly-by-wire flight controls, full authority digital engine controls, or power management. Because this role involves a combination of independent and collaborative work, this position can be conducted 100% remotely. The Controls and Avionics Solutions business is part of the Electronic Systems sector within BAE Systems Inc. We are a leader in high integrity controls for both the military and commercial aviation markets, and are focused on investing and developing for future growth. In Controls & Avionics Solutions, you will have the opportunity to help define and develop the next generation of avionics whether it is fly-by-wire flight controls, full authority digital engine controls, or power management. Our core capabilities and future technologies lie in: active controls, aftermarket services, aircraft electrification, autonomy, cabin systems, engine systems, and next-gen controls. This internship will be in support of our aftermarket services where we provide world class support throughout the lifecycle of our products, up to 600 airlines and MROs globally. BAE Systems is looking for an Intern with experience using data visualization tools that has an interest in the business lifecycle, customer relationship management (CRM), and operations optimization through data analysis, data modeling, and data management. The qualified candidate will have the opportunity to assist in the design and development of these capabilities and opportunity identification to help support all phases of the business lifecycle. Responsibilities include but are not limited to: + Identifying, quantifying, capturing and/or modeling new business opportunities + Gathering, analyzing, and evaluating information collected on internal operations, customers, competitors and other market factors that can contribute to a business's competitive advantage and its operations + Advancing and implementing new tools to support various functions (customer account management, winning business, repair center optimization, etc) + Refining how we utilize data (capture, cleaning, organization, and modeling) **Required Education, Experience, & Skills** + Currently enrolled in, or recently a post grad (with good academic standing) for a Bachelor or Master degree in Analytics, Business, Mathematics (or other related fields), or a degree with an Analytics or Business minor/concentration + Experience using data visualization software such as PowerBI, Tableau or Looker, data preparation and cleaning tools such as Alterx or Tableau Prep, SQL, MS Office suite of programs (MS Word, PowerPoint, and Excel) **Preferred Education, Experience, & Skills** + Experience using Python + Comfortable with complex data relationships (ERD) + Knowledge/Experience with machine learning, time series analysis, and deep learning frameworks + Effective prompt engineering skills to leverage AI when necessary + Prior experience in the aerospace industry **Pay Information** Full-Time Salary Range: $39861 - $53766 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Temporary employees generally are not eligible for BAE Systems benefits, but can elect to participate in the 401(k) savings plan. Temporary employees working 20 hours per week are eligible for medical benefits, the employee assistance program, and business travel accident insurance. **Business Analyst Intern Remote** **119037BR** EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression

Job Description You don't see it, but it's there. Our employees work on the world's most advanced electronics - from saving emissions in the City of Lights to powering the Mars Rover to protecting the F35 fighter jet. At Electronic Systems, you'll be among the brightest minds, working on the aerospace and defense industry's most difficult problems. Drawing strength from our differences, we're innovating for the future. And you can, too. Our flexible work environment provides you a chance to change the world without giving up your personal life. We put our customers first - exemplified by our missions: "We Protect Those Who Protect Us" and "We Innovate For Those Who Move The World TM." Sound like a team you want to be a part of? Come build your career with BAE Systems. In Controls & Avionics Solutions, you will have the opportunity to help define and develop the next generation of avionics - whether it is fly-by-wire flight controls, full authority digital engine controls, or power management. Because this role involves a combination of independent and collaborative work, this position can be conducted 100% remotely. The Controls and Avionics Solutions business is part of the Electronic Systems sector within BAE Systems Inc. We are a leader in high integrity controls for both the military and commercial aviation markets, and are focused on investing and developing for future growth. In Controls & Avionics Solutions, you will have the opportunity to help define and develop the next generation of avionics - whether it is fly-by-wire flight controls, full authority digital engine controls, or power management. Our core capabilities and future technologies lie in: active controls, aftermarket services, aircraft electrification, autonomy, cabin systems, engine systems, and next-gen controls. This internship will be in support of our aftermarket services where we provide world class support throughout the lifecycle of our products, up to 600+ airlines and MROs globally. BAE Systems is looking for an Intern with experience using data visualization tools that has an interest in the business lifecycle, customer relationship management (CRM), and operations optimization through data analysis, data modeling, and data management. The qualified candidate will have the opportunity to assist in the design and development of these capabilities and opportunity identification to help support all phases of the business lifecycle. Responsibilities include but are not limited to: * Identifying, quantifying, capturing and/or modeling new business opportunities * Gathering, analyzing, and evaluating information collected on internal operations, customers, competitors and other market factors that can contribute to a business's competitive advantage and its operations * Advancing and implementing new tools to support various functions (customer account management, winning business, repair center optimization, etc) * Refining how we utilize data (capture, cleaning, organization, and modeling) Required Education, Experience, & Skills * Currently enrolled in, or recently a post grad (with good academic standing) for a Bachelor or Master degree in Analytics, Business, Mathematics (or other related fields), or a degree with an Analytics or Business minor/concentration * Experience using data visualization software such as PowerBI, Tableau or Looker, data preparation and cleaning tools such as Alterx or Tableau Prep, SQL, MS Office suite of programs (MS Word, PowerPoint, and Excel) Preferred Education, Experience, & Skills * Experience using Python * Comfortable with complex data relationships (ERD) * Knowledge/Experience with machine learning, time series analysis, and deep learning frameworks * Effective prompt engineering skills to leverage AI when necessary * Prior experience in the aerospace industry Pay Information Full-Time Salary Range: $39861 - $53766 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Temporary employees generally are not eligible for BAE Systems benefits, but can elect to participate in the 401(k) savings plan. Temporary employees working 20+ hours per week are eligible for medical benefits, the employee assistance program, and business travel accident insurance. About BAE Systems Electronic Systems BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems' game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere - from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact - for our customers and the communities we serve. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

**Description:** By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\. With our employees as our priority, we provide career opportunities designed to propel development and boost agility\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility\. Your Mission is Ours\. Performs assignments in technical/engineering organizations \(e\.g\., Electronics Engineering, Software Engineering, Facilities Engineering, Manufacturing Engineering\) during vacations and short\-term breaks from college attendance while enrolled in an accredited degree program\. **Basic Qualifications:** - Pursuing a Bachelors degree in Program Management, Business Administration, from an accredited college - Microsoft Office Suite -Ability to learn new tools and software -Good communication skills **Desired Skills:** Experience with data analysis and visualization tools such as Tableau, Power BI Familiarity with programming languages like Python, R, or SQL Knowledge of data modeling and database management systems **Clearance Level:** None **Other Important Information You Should Know** **Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match\. Should this match be identified you may be contacted for this and future openings\. **Ability to Work Remotely:** Part\-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility\. The specific weekly schedule will be discussed during the hiring process\. **Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\. Schedules range from standard 40 hours over a five day work week while others may be condensed\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\. **Schedule for this Position:** 4x10 hour day, 3 days off per week **Lockheed Martin is an equal opportunity employer\. Qualified candidates will be considered without regard to legally protected characteristics\.** **The application window will close in 90 days; applicants are encouraged to apply within 5 \- 30 days of the requisition posting date in order to receive optimal consideration\.** At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility\. If this sounds like a culture you connect with, you're invited to apply for this role\. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications\. **Experience Level:** Co\-op/Summer Intern **Business Unit:** AERONAUTICS COMPANY **Relocation Available:** Yes **Career Area:** Data Science **Type:** Part\-Time **Shift:** First

Description:By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. Performs assignments in technical/engineering organizations (e.g., Electronics Engineering, Software Engineering, Facilities Engineering, Manufacturing Engineering) during vacations and short-term breaks from college attendance while enrolled in an accredited degree program. Basic Qualifications: * Pursuing a Bachelors degree in Program Management, Business Administration, from an accredited college * Microsoft Office Suite * Ability to learn new tools and software * Good communication skills Desired Skills: Experience with data analysis and visualization tools such as Tableau, Power BI Familiarity with programming languages like Python, R, or SQL Knowledge of data modeling and database management systems Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Co-op/Summer Intern Business Unit: AERONAUTICS COMPANY Relocation Available: Yes Career Area: Data Science Type: Part-Time Shift: First

Are you passionate about progressive politics? Are you interested in presenting messaging guidance to decision makers? Do you enjoy paying fierce attention to detail? Are you excited to leverage your skills and talents to safeguard our freedoms and build a better future for all of us? Then you should consider working with us! Blue Rose Research develops a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research undergirds short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers. The Blue Rose Research team has a storied history and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by the team is widely regarded as among the most technically sophisticated in the space. If you join us, you'll be plugging into a diverse team of decorated engineers, PhD data scientists and political insiders who are closely connected to some of the most important decision makers in the progressive ecosystem. Analysts at Blue Rose Research coordinate among our data scientists, machine learning engineers, and the principals managing client relationships to deliver results on time. The insights from our products are used for understanding the issues important to the American public, what policies should be supported, how best to argue for them, and much more. We are responsible for research products that are scalable, robust, accurate, and useful. We're a fast and dynamic team, and you'll be contributing to an increasingly rapid cadence of research projects with a growing roster of clients from across the progressive political world. We're looking for you to bring your passion for politics, an ability to translate between technical and non-technical stakeholders, a strong attention to detail, and a desire to make a big impact on a timeline. We offer a competitive salary, medical, dental, and health benefits, and the ability for you to be your full self at work! While the work is remote, most of the team is NYC based where we have an office. Salary range: $70-100k per annum, commensurate with experience. This position is full time. Remote allowed. Your work would include: Designing and launching surveys that will be taken by hundreds of thousands of Americans Managing the fielding of multiple surveys simultaneously to ensure sufficient data collection on time and on budget Tracking timelines and priorities and liaising between data scientists, engineers, and client-facing stakeholders Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants Analyzing data to answer questions from political strategists and clients Building subject matter context and thinking critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists Contributing new ideas to the ways we analyze, interpret, and communicate our data - we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal Providing product feedback to engineers to improve our tools for internal and external usage Qualified candidates ideally: Have at least 1-2 years professional experience, including internships Are comfortable with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data Have some background in R or python programming Have strong oral and written communication skills, especially in a remote environment Enjoy spending as much of their time interacting with other people as they do writing code Have a desire to work in multi-disciplinary teams with engineers, machine learning data scientists, statisticians and political experts. Are excited about working with less-technical stakeholders and seeing how their work impacts real-world decision making Enjoy and have experience working in fast-paced environments turning around a high volume of relatively small projects Are interested in and passionate about progressive politics; willing to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight Are solutions-oriented, have strong attention to detail, and are a creative thinker who isn't daunted by open-ended research questions Are a kind person and a team player who contributes to a warm working environment We don't expect every applicant to have expertise in every area listed above. We encourage you to apply if you don't feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team's ability to learn and excel at new skills and challenges. Join us! Candidates must be authorized to work lawfully in the United States.

":"As the Data Services Intern, you will work with customer lists and customers over the phone to validate and audit applications. You will also assist and lead an audit project on one of our databases to ensure it is up-to-date and organized. Additional team projects will be assigned by management. If you have a strong attention to detail and organization skills, this is the position for you!","job_category":"Internships and Part-time","job_state":"OH","job_title":"Data Services Intern","date":"2026-01-12","zip":"45430","position_type":"Part-Time","salary_max":"0","salary_min":"0","requirements":"Strong attention to detail and organization skills~^~Analytical and communication skills~^~Open to any major or college level~^~Proficient in Microsoft Word and Excel","training":"Training will be on the job","benefits":"We strive to offer an environment that provides our associates with the right balance between work and family. We offer a comprehensive benefits package including: - Free on-site fitness center with a cardiovascular fitness area, weight room, daily fitness classes - Health Center staffed by a Nurse Practitioner and on-site prescription delivery - Company sports leagues including softball, volleyball, soccer, and many more - World-class cafeteria with complimentary breakfast and lunch options - Convenience store with a full-service coffee bar, snacks, and beverages - Associate discounts for cell phones, cars, computers, entertainment, and much more Reynolds and Reynolds promotes a healthy lifestyle by providing a non-smoking environment. Reynolds and Reynolds is an equal opportunity employer. ","

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: + Data analysis and visualization + Augmented decision-making and trusted analytics + Applied mathematics, statistics, and optimization + Simulation and computational analytics + Systems modeling and analysis + Operational effectiveness and efficiency + Knowledge discovery + Next-generation data environments Basic Qualifications + Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. + Must continue to be enrolled the semester following the internship. + Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. + Must have sustained excellence in academic performance. Preferred Qualifications + Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. + Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. + Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. 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Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Data Scientist, you will be responsible for algorithm and methodology development for an innovative company using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results for our customers, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Build, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 3-6 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $120,000-$145,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

We are currently looking for Business Analyst interns to join us in Raleigh, NC. You will work closely with a senior mentor to gain technical knowledge and experience in your field, and cooperate with a broader international team both locally and globally. During this internship, you will help apply data management and analysis techniques to quantify the health and sustainability of open source software communities. You will have regular contact with AL/ML engineers and other data scientists gaining important insights into how Red Hat fosters its open source communities to grow its business. And you'll collaborate with open source community builders to provide timely reports of upstream activities to Red Hat stakeholders. The focus for Red Hat's Intern Program is a dual partnership between the Emerging Talent Team, and our intern managers. We can offer you professional development, social engagement and networking, performance and development, and meaningful work throughout your time at Red Hat. Job Responsibilities: Collect and document input from Red Hat technology users, customers, and other stakeholders to understand customer needs and requirements. Execute and develop a competitive analysis through researching competitive solutions and documenting their relative strengths and weaknesses. Develop and prioritize and document requirements, epics, and user stories for new releases of our offerings. Translate key findings into visualized presentations Network with other talented interns in an inclusive workplace where you can be yourself and thrive Required Skills: Excellent written and verbal communication skills in English Ability to manage tasks, meet deadlines and analyze data to foster data-driven decisions Ability to effectively establish and maintain communication with both internal and external stakeholders Strong organizational and logistical skills Passion, curiosity, and desire to create new things and examine how things work internally Willingness to learn and proactively work as a part of a wider team About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Our internships are designed to give you a comprehensive understanding of the department you're placed in, as well as an overview of every department's contribution to our business. The Business Analyst Intern will perform routine, entry-level pricing, reporting, and sales automation tasks with the goal of developing more advanced applied data analytics and process optimization skills. This internship will begin in the summer of 2026. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Provides general, entry-level support to the commercial department. Emphasis on pricing, data management, process documentation and workflow analysis. Duties may include the following… Pricing Analysis Assists in collecting and analyzing pricing data across products and markets. Supports development of pricing models and competitive benchmarking. Implements and documents pricing best practices and workflows. Prepares reports and dashboards to monitor pricing trends and profitability. Data Integrity & Governance Validates and maintains accuracy of data in ERP, CRM, and pricing systems. Performs regular audits to identify discrepancies and ensure compliance with data standards. Documents processes and contributes to continuous improvement of data quality practices. Demand Planning Coordinates with sales, product management and operations to identify key demand planning workflows Analyzes current business processes for areas to drive efficiency Works with senior leadership to implement new processes Establishes a regular method of measuring and reporting key metrics REQUIRED QUALIFICATIONS Current college junior/senior pursuing a bachelor's degree in sales, engineering, computer science or related fields. Must have at least a 2.8 GPA (3.0 or 3.2+ preferred) Must be involved in at least 1 extra-curricular activity or volunteer activity Strong proficiency in Microsoft Word, Excel, and PowerPoint Familiarity with LEAN and Six Sigma Philosophies and/or ERP systems like SAP and Oracle a plus Ability to analyze data and decipher information