Data Science Internship jobs at Qorvo - 630 jobs

We're looking for two passionate and motivated interns excited to gain hands-on experience working with one of the most prominent Gen Z lifestyle YouTubers, with millions of followers on all social media platforms. Interns will be shadowing and assisting with the production of a highly-anticipated podcast/radio show focused on lifestyle, well-being, and culture. Please note: only LA-based applicants will be considered! This learning experience is designed for students and can be completed for student credit, with a flexible schedule that accommodates school commitments. The internship requires a minimum 4-month commitment and offers the opportunity to work directly with a high-profile creator and a talented team. Position 1: Productions Intern Responsibilities: Assist in setting up and testing audio and video equipment, including cameras, microphones, and lighting. Ensure all production equipment functions properly before recordings. Support the production team during recording sessions to ensure smooth operation on set. Help organize and maintain project files for post-production. Requirements: Interest or experience in podcast production, media, or entertainment. Basic knowledge of audio/video equipment setup and operations. Strong attention to detail and organizational skills. Ability to work efficiently in a fast-paced environment. Must be based in Los Angeles or able to commute for on-site work. Able to receive student credit for the internship. Must commit to a minimum 4-month period. Who You Are: Familiar with YouTube content and an understanding of demographics, especially Gen Z. Interested in trends, pop culture, and current affairs. Possess a strong eye for high-quality visuals and design. Have a positive, can-do attitude. Involved in entertainment-related extracurriculars or other clubs. Majoring in Film and Media Production, Entertainment, Communications or other related fields. Position 2: Operations Intern Responsibilities: Assist in managing the workflow and logistics of podcast production and distribution. Support the coordination of guest scheduling, recording sessions, and content delivery. Help track and organize podcast assets, including audio files, transcripts, and promotional materials. Monitor and maintain podcast publishing schedules across platforms like Spotify, YouTube, and Apple Podcasts. Assist in optimizing operational processes to improve efficiency and audience engagement. Analyze key performance metrics and help identify areas for improvement in production and distribution. Requirements: Strong organizational skills with attention to detail. Interest or experience in operations, project management, or digital media production. Familiarity with podcast platforms, content management systems, or scheduling tools. Excellent communication skills and ability to coordinate with multiple team members. Proactive problem-solver with a structured and efficient work approach. Able to work both in-person in the LA Valley and remotely for online tasks. Available to work as an intern with a flexible schedule to accommodate school commitments. Able to receive student credit for the internship. Must commit to a minimum 3-month period. Who You Are: Passionate about media production and operational efficiency. Familiar with content distribution strategies and digital workflows. Interested in podcasting, entertainment, and digital media trends. Detail-oriented with strong multitasking abilities. Have a positive, problem-solving attitude. Majoring in Business Operations, Media Production, Communications, or related fields. What You'll Gain: Hands-on experience in podcast production and operations management. Exposure to behind-the-scenes logistics of content creation, scheduling, and distribution. Mentorship and skill-building in a dynamic, fast-paced environment. Insights into optimizing digital workflows and streamlining media production. How to Apply: Please email your resume detailing your interest in the position (Production or Marketing) and include a portfolio with your previous work to ****************. Location: LA Valley, CA Internship Start: FEB 15, 2025 or ASAP

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.

**This position is for students currently enrolled in a degree program. To qualify, applicants must be returning to their academic institution at the end of Summer 2026, with a graduation date of December 2026 and beyond. If you do not meet these criteria, we invite you to explore other opportunities available on our careers website.** At Intuit, we believe in the power of early talent. Our internship and co-op program provides hands-on experience, mentorship, and opportunities to contribute to real-world projects that impact millions. We get up every morning with our hearts beating fast, driven by the knowledge that we're transforming the world of consumer and small business finance. It's why our products continue to resonate with 50 million consumers around the globe. Ready to dive deep into the world of AI and make a real impact? As an AI Science Intern at Intuit, you won't just be observing; you'll be on the front lines. You'll work side-by-side with our world-class AI Scientists and Machine Learning Engineers, collaborating with Data Analysts, Software Engineers, and product managers. This is your chance to uncover critical insights and develop powerful machine learning models that directly understand and enhance customer experiences across Intuit's beloved products.. Some projects previous AI Science interns have worked on: + Improving customer experiences by applying adversarial deep learning to ranking algorithms and assessing call quality using transcript data. + Innovating with NLP and Deep Learning to link form lines to documentation, build temporal recommendation models, and develop unsupervised knowledge acquisition for Q&A systems. + Forecasting and Prediction through transaction time series forecasting, real-time churn prediction, and predicting cognitive biases with financial data. + Enhancing Model Training by exploring active learning for event labels and creating customer intent classifiers for digital assistants. **Responsibilities** + Gather, clean, and perform exploratory analysis on large datasets to uncover patterns and prepare them for modeling. + Build, train, and evaluate various machine learning and deep learning models. + Dive into cutting-edge AI research and methodologies to inform new solutions and stay ahead of the curve. + Analyze model results and data to extract meaningful insights and provide actionable recommendations. + Develop proofs-of-concept for innovative, AI-driven features or solutions. + Work closely with diverse teams, clearly communicating your findings and progress to both technical and non-technical stakeholders. + Create clear documentation for your research, model architectures, code, and experimental results. **Qualifications** + Desire to learn and grow within a technical environment. + Excellent verbal and written communication skills. + Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations + Ability to explore, discover and import data from multiple sources and make them machine learning ready + Design and test hypotheses about causes and cures + Strong programming skills (Python and Scala preferred) + Experience in developing machine learning solutions to solve real-world problems + Experience with Hadoop or Spark + Published works in top tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc. is a plus + **Currently enrolled in a PhD program in Computer Science or a related technical field. Alternatively, a Bachelors or Masters program with prior relevant experience.** + **A graduation date at least 4 months after the end of the internship** + **Must be legally authorized to work in the US on a full-time basis during the duration of the internship** + **Ability to work onsite for a minimum of 3 days per week in one of the following Intuit locations: Mountain View, San Diego, New York, or Atlanta** **About Intuit, Inc.** Join our mission to power prosperity around the world. Intuit has been revolutionizing the financial industry since the company was founded over 40 years ago. Through innovations in our evolving suite of products including TurboTax, QuickBooks, Credit Karma, and Mailchimp, we help consumers, small business owners, and the self-employed achieve their financial goals. From uncovering data patterns for how wealth is created to designing conversational interfaces that deliver personalized experiences, we're using AI, ML, and Intuit's unrivaled set of data to help millions reach financial freedom. At Intuit, diversity and inclusion isn't just something we do -- it's part of who we are. Our culture has earned us a spot on "Best Companies to Work For" lists year after year. When our workforce composition reflects our customers and communities, we believe we can develop deeper customer empathy, accelerating innovation to solve the biggest problems our customers face. We're dedicated to living our mission of powering prosperity, not just through our products, but through our social impact initiatives. Through Intuit's Prosperity Hubs, we're bringing new jobs, teaching new skills, and supporting small businesses in distressed communities to help local economies rebuild and thrive.Learn more about our Intern, Co-op, and full-time opportunities: **************************************************** Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: **_Mountain View, CA:$36.50 - $73.79 USD_** EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Intuit's Identity Data Science & Analytics team is looking for a hands-on Data Science Intern who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit's Identity capabilities within Intuit's Platform. As a member of the Data Science team, you will have a track record of combining analytical skills with business acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm. This is an exciting time to join the Identity Data Science team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network and modern Authentication capabilities that will power Generative AI experiences and password-less biometric-based authentication, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit's decision-making process, and data scientists are critical to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit's future growth. Responsibilities * Partner with cross-functional teams to drive data-backed decisions and actionable insights * Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights * Communicate analytical findings and recommendations clearly and concisely to non-technical audiences, both in writing and through oral presentations * Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals * Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases * Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution Qualifications * Strong SQL skills and proficient in Tableau and/or Excel * Excellent problem-solving skills and end-to-end quantitative thinking * Outstanding communications skills with the ability to influence decision makers and build consensus with teams * Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that can improve both customer and business outcomes * Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines * Experience working with granular web and native clickstream data and behavior tracking tools like Adobe Analytics is a plus * Experience in programming languages, automation tools, and stats packages (e.g. Python, R, Hive) is a plus; comfortable creating re-usable data sets with high-quality data * Currently enrolled in a degree seeking program in Data Science, Statistics, Mathematics or a related technical field. * A graduation date at least 4 months after the end of the internship * Must be legally authorized to work in the US on a full-time basis during the duration of the internship * Ability to work onsite for a minimum of 3 days per week Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California $ TBD

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $22.80 - $31.00 Hourly for the 705.1 level This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year. Job Description Position will be closed to applicants on January 30, 2026. Internship Dates: Please select the session that best works for you and your mentor's schedule: Session 1: May 18, 2026 - August 7, 2026 Session 2: June 22, 2026 - September 11, 2026 We have multiple openings for our Undergraduate summer internship program in data science. Our openings are for undergraduate level students to join the Data Science Summer Institute (DSSI). The DSSI is a 12-week summer internship program and selected interns will be given the opportunity to engage in practical research to further their educational goals. The selected interns will work in the data science field and provide technical and/or research support to projects in the area of Machine Learning, Statistics, High Performance Computing, and other related fields. If you are graduating with your bachelor's degree this summer, then apply to the Data Science Summer Institute Graduate Student Intern position. Before applying, please understand the following: This is an on-site internship; attendance in person is required. Confirm with your university that you are permitted to participate in and work for the full 12-week internship program (i.e. CPT hours). Modifications to the internship dates will not be accepted. If you have pre-planned travel or commitments during the internship, this needs to be disclosed in the interview process. For FAQ, please visit: **************************************** You will Work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields. Participate in research in assigned areas under close supervision. Gather and analyze data and information in support of scientific research. Participate in research planning and evaluation discussion. Work with other DSSI interns on a data science challenge problem. Attend data science related short courses/seminars, meetings, tours, and events. Present work through presentations and/or poster sessions during your internship. Perform other duties as assigned. Qualifications Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering, or other related fields. Effective programming skills in a high-level language such as R, Python or Matlab. Ability to apply basic principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems. Ability to present and communicate concepts and ideas. Ability to work in a team environment. Effective communication skills. Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems. Desire to improve skills in public presentation of scientific results by giving presentations. Eagerness to obtain an understanding of new application areas. Exposure through coursework or relevant experience to some of the following topics: Statistical modeling and data analysis Bayesian and frequentist statistical frameworks Inverse problems Uncertainty quantification Machine learning Computer vision Multimedia signal and video processing Combinatorics and algorithms Graph modeling and social network analysis Modeling and simulation Qualifications We Desire GPA of 3.0 or above. Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Holiday Pay Sick leave accrual Individual 401(k) contributions Our values - visit ***************************************** Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.) National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms-from predictive maintenance to fraud detection-at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Hungry, Humble, Honest, with Heart. Digital Transformation Analyst Intern The Opportunity Are you an analytical thinker passionate about process optimization and digital transformation, eager to make a tangible impact in a dynamic tech environment? If so, joining our Digital Workplace Experience team as an IT Business Process Intern will provide you with the invaluable opportunity to enhance core IT processes, work alongside industry leaders, and gain hands-on experience in consulting and automation strategies, all while directly benefiting from our mission to support Nutanix employees and contribute to our broader organizational goals. About the Team Digital Workplace experience team comprises IT Applications, End User Computing, Unified Communications, Service Management, Software Asset Management, and the Global Operations team. This team is a critical internal support function within Nutanix. While the team has an indirect impact on external Nutanix customers, its core mission is to provide direct support to employees worldwide. The team manages a wide variety of essential functions, including providing and managing employee-facing applications (such as Zoom, Microsoft Office, and Slack), managing and delivering employee laptops using internal tools, deploying technology in conference rooms across Nutanix offices, and overseeing help desk employees at various sites. The team is widely distributed geographically, spanning across the US, EMEA, APAC, and India. The team operates with a mix of hybrid and remote employees. The average tenure for team members is relatively high, standing at around four years or more. The work culture is outcome-driven, which is how the hiring manager describes their own management style. When working with the hiring manager, interns can expect daily 15-minute syncs. Your Role Analyze and document current core IT processes related to IT operations. Identify optimization opportunities and propose new digital transformation workflows to reduce costs and improve efficiency. Identify how AI and Automations can be leveraged in the proposed workflows. Develop detailed process maps and write business justification proposals for significant process changes. Collaborate with team members in daily syncs to align on project objectives and share progress updates. Engage in change management initiatives, providing insights on the impact of proposed process changes on employees. Present final proposals and documented automation workflows to leadership and Subject Matter Experts (SMEs). What You Will Bring Applicants must be authorized to work in the US without requiring current or future sponsorship for an employment visa, such as an F-1, H-1B, or TN visa. Currently pursuing or recently completed a degree in Business Administration, Information Technology, or a related field. Strong analytical skills with experience in data analysis and process documentation. Familiarity with IT Tools and technologies related to collaboration, communication, and data analysis. Familiarity with process mapping and modeling methodologies. Knowledge of digital transformation concepts and cost optimization strategies. Excellent communication skills, with the ability to present proposals effectively. Proactive, self-motivated, and able to work collaboratively in a distributed team environment. Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e., San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney, and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager. The pay range for this position at commencement of employment is expected to be between USD $ 26 and USD $ 36 per hour. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith. --

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst MBA Intern to join our Data Center Compute FP&A team at NVIDIA. This is a great role for a highly motivated individual who can succeed in a fast-paced and rapidly changing environment! This role requires an individual who will thrive in an ambiguous environment and make a big impact. You will have a passion for providing data-based decision making, looking for areas of improvement and implementing automation to reduce your manual workload to focus on delivering insights to the business. What you'll be doing: * Provide in-depth financial analysis of sales pipelines and opportunities to drive insights on demand trends, regional market dynamics, and solutions adoption/transitions. * Prepare monthly and quarterly management reporting packages. * Assist in developing the forecasting models for customer regions and industry verticals across business lines to understand the dynamic demand environment. * Identify opportunities to drive new insights and process improvement leveraging systems and tools such as Salesforce, PowerBI, and advanced Excel financial modeling. * Detail oriented, highly analytical, and able to translate data and trends into powerful strategies and compelling messages. * Own financial data and reports to ensure they are both accurate and updated. * Provide analyses is to assist in driving key decision making for executive leadership. * Create insightful business dashboards and reports to monitor high-priority focus areas. What we need to see: * Currently pursuing an MBA degree * Proficiency in Power BI or Tableau, specifically creating automated dashboard * Ability to question the output of a financial model and consider options for improvement. * Detail oriented with the ability to perform with accuracy under deadlines. * Desire to learn new technologies and have a great intellectual curiosity. * Positive and upbeat attitude that thrives in a team environment. * Background in finance, business analytics, or other analytically focused positions Ways to stand out from the crowd: * Balance of strong academic and extracurricular activities. * Leadership positions. * Strong analytical skills and advanced financial modeling techniques. * Exemplary communication, written and verbal, and interpersonal skills. * Prior work experience in Finance in the Technology sector. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

, Responsibilities and Expectations: Strong proficiency working with Python, SQL, C++ as well as other programming languages used in ML Implementing data pipelines. Construct data pipelines that handle large datasets, ensuring data is processed and available for ML model training. Experience working with Big Data tools like DBT, Spark, Hadoop and AWS Use statistical analysis and fine-tuning techniques to maximize model performance in real-world applications. Knowledge of web scraping libraries and frameworks (e.g., Scrapy, Beautiful Soup) and automation tools (e.g., Selenium Web Driver) Deploy, monitor, and maintain machine learning systems to ensure reliable, efficient operations. Automating model training and deployment. Use automation tools to streamline the model training and deployment process, enhancing efficiency and scalability. Experience with scikit-learn, Keras, and either TensorFlow or PyTorch Good experience in Power BI reporting and data engineering. Essential Skills and Experience: Python SQL DBT Spark/Hadoop Scikit-learn TensorFlow/PyTorch Docker AWS Beautiful Soup/Scrapy You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education. Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13 th , 2026 OR June 16 th - September 13 th , 2026) Legally authorized to work in the United States WHO WE ARE: CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $30 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

, Responsibilities and Expectations: Strong proficiency working with Python, SQL, C++ as well as other programming languages used in ML Implementing data pipelines. Construct data pipelines that handle large datasets, ensuring data is processed and available for ML model training. Experience working with Big Data tools like DBT, Spark, Hadoop and AWS Use statistical analysis and fine-tuning techniques to maximize model performance in real-world applications. Knowledge of web scraping libraries and frameworks (e.g., Scrapy, Beautiful Soup) and automation tools (e.g., Selenium Web Driver) Deploy, monitor, and maintain machine learning systems to ensure reliable, efficient operations. Automating model training and deployment. Use automation tools to streamline the model training and deployment process, enhancing efficiency and scalability. Experience with scikit-learn, Keras, and either Tensorflow or PyTorch Essential Skills and Experience: Python SQL DBT Spark/Hadoop Scikit-learn TensorFlow/PyTorch Docker AWS Beautiful Soup/Scrapy You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education. Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13 th , 2026 OR June 16 th - September 13 th , 2026) Legally authorized to work in the United States CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $30 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities We are looking for a talented and motivated intern to join our team and help build the next generation of autonomous data management systems. In this role, you will work with foundation models (FMs) and AI agents to make data systems smarter, easier to use, and more efficient. Topics include but are not limited to: * Using large language models (LLMs) for code generation, such as writing SQL/NoSQL queries or Python code for analytics. * Exploring how knowledge graphs and multi-modal data can be combined with LLMs to improve data discovery and question answering. * Improving the performance and efficiency of AI model inference. * Building generative AI tools for DataOps (like DevOps, but for data engineering and analytics). This internship is a great fit for students who are: * Pursuing an undergraduate degree or masters in computer science or a related field * Excited about AI, agentic AI, data systems, and software engineering * Comfortable with programming (Python, SQL, or similar languages) * Curious and eager to learn how AI can be applied to real-world data problems Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Pursuing education in computer science and related fields * Familiarity and working expertise with large language models Preferred technical and professional experience * Familiarity with knowledge graphs, SQL, RAG, and agentic frameworks * Familiarity with reinforcement learning and AI planning * Familiarity with prompt optimization techniques ABOUT BUSINESS UNIT IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Portfolio Data Analyst San Mateo, CA The Staff Portfolio Data Analyst will serve as the senior data authority within the Portfolio Management team for the Platform Business organization. This role will design and implement advanced data solutions that provide reliable, real-time portfolio insights to inform high-impact strategic decisions. As a technical and analytical leader, the Staff Analyst will own the architecture of portfolio data pipelines, introduce new methods of analysis, and partner with senior stakeholders to ensure data is actionable and trusted across the organization. This role partners with Program Delivery, Finance, and other key teams to ensure our portfolio data is accurate, meaningful, and actionable. Responsibilities Architect and maintain scalable data pipelines and frameworks that integrate program management, finance, and operational datasets into a single source of truth for portfolio insights. Lead the design and delivery of advanced dashboards, reports, and analytics products that empower leadership to assess portfolio health, performance, and value realization. Own ongoing operational portfolio reporting cadence - delivering automated dashboards and recurring reports (e.g., budget vs. actuals, delivery metrics, and resource data) to enable day-to-day visibility. Perform hands-on querying and data validation to ensure completeness, consistency, and accuracy of portfolio datasets across systems. Proactively identify opportunities to automate manual workflows, reducing cycle times for portfolio reporting and rebalancing, and implement repeatable solutions. Define and enforce data quality standards, validation processes, and governance practices to ensure consistent use, adoption, and best practices for portfolio data and reporting. Maintain and document portfolio analytics definitions, data lineage, and business rules in partnership with Portfolio Enablement and Insights teams to promote shared understanding. Provide complex data modeling, scenario testing, and portfolio performance measurement in partnership with the Insights & Analytics Lead and Strategic Planning. Partner closely with Finance and Data Strategy to align portfolio metrics with ROI and outcome-based frameworks, align data definitions, and establish trust in the numbers. Partner with Portfolio Enablement to evaluate and implement BI platforms, ensuring data solutions are scalable and integrated into the rhythm of the business. Provide technical mentorship to junior analysts and upskill broader team members on analytics tools, dashboards, and best practices. Support executive-level portfolio reviews by ensuring accuracy, integrity, and clarity of all portfolio data presented to senior leadership. Qualifications Bachelor's degree in Data Analytics, Computer Science, Finance, or related field; advanced degree a plus. 6-8 years of experience in data analytics, business intelligence, or related field, ideally within technology or portfolio/program management. Expertise in SQL and at least one advanced analytics language (Python, R, etc.), with proven experience building automated data pipelines and models. Proficiency with Excel and BI tools (e.g., Tableau, PowerBI), including experience designing executive-ready dashboards. Strong knowledge of data governance, system integrations, and performance optimization. Demonstrated experience managing recurring operational reporting cycles and validating data integrity at scale. Experience maintaining data documentation and collaborating cross-functionally to align business and technical definitions Ability to partner with cross-functional leaders and translate complex data into actionable insights for decision-making. Track record of driving measurable improvements in reporting processes, data reliability, and analytical capabilities. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$188,600-$283,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. Location We're seeking a dynamic and motivated contributor to join our team in one of our key office locations: San Francisco. About the Internship We are looking for a Data Analyst who has a passion for storytelling with data. You will be successful if you are detail-oriented, like solving big problems, understand technical systems, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What You'll Get To Do Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics and insights solutions Document in-depth business requirements Identify trends and key drivers of metrics to unveil insights Provide support to stakeholders, investigate data issues, and create ad hoc reports and/or dashboards Answer complex business questions with data through investigation and data forensics Develop report and dashboard prototypes Work with the team to define, implement, and test new data sources and transformations Provide input to Data Engineering on requirements and enhancements to existing data pipelines, data sets, and data platforms Conduct QA activities for new development and enhancements Develop expertise in data modeling, transformation, and normalization Develop expertise in visualization and storytelling with data best practices Support new tool and technology assessments to improve stakeholder adoption Proactively identify process improvements, standardize processes, and help ensure new processes become institutionalized Who We Are Looking For BS in CS, MIS, related technical degree and graduating in December 2026 or Spring 2027. Interest in pursuing a career as a Data Analyst/Data Engineer/BI Developer Hands-on SQL experience Excellent communication skills, both written and verbal Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, and Snowflake Excellent time management and prioritization skills Okta's Intern Program As an intern, you'll do real work that matters. While you're on board, you'll work on meaningful projects and have an opportunity to see what working at Okta is all about. You'll also have the assistance of your mentor and manager to help you develop new skills. Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you'll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too. We offer 12-week summer internships in the U.S. with two available start dates. You may choose from the following options: May 26 - August 14 or June 15 - September 4. LI-Hybrid SRC - Data Analyst Intern (Summer 2026) What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-KC Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$212,200-$318,200 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

YOU WILL: Learn and Understand Cost Accounting concepts per US GAAP (Generally Accepted Accounting Principles) Obtain an overview of data and sources thereof used by the Cost Accounting team in various analyses. Review and build upon current Excel models used in cost accounting and reporting to improve their efficiency (filtering, sorting, and data structuring. Develop and implement streamlined processes for data manipulation. Create standardized templates and macros to automate repetitive tasks. Document changes/create SOPs (Standard Operating Procedures) for enhancements. YOU ARE: I am currently pursuing a degree in Accounting, Finance, Business Analytics, Management Information Systems, Data Analytics, or a related field. Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, conditional formatting). Familiarity with data analysis and process improvement techniques. Attention to detail and ability to work independently. Excellent communication and organizational skills. You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education. Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13 th , 2026 OR June 16 th - September 13 th , 2026) Legally authorized to work in the United States. WHO WE ARE: CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $25 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

YOU WILL: Learn and Understand Cost Accounting concepts per US GAAP (Generally Accepted Accounting Principles) Obtain an overview of data and sources thereof used by the Cost Accounting team in various analyses. Review and build upon current Excel models used in cost accounting and reporting to improve their efficiency (filtering, sorting, and data structuring. Develop and implement streamlined processes for data manipulation. Create standardized templates and macros to automate repetitive tasks. Document changes/create SOPs (Standard Operating Procedures) for enhancements. YOU ARE: I am currently pursuing a degree in Accounting, Finance, Business Analytics, Management Information Systems, Data Analytics, or a related field. Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, conditional formatting). Familiarity with data analysis and process improvement techniques. Attention to detail and ability to work independently. Excellent communication and organizational skills. You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education. Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13 th , 2026 OR June 16 th - September 13 th , 2026) Legally authorized to work in the United States. WHO WE ARE: CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $25 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Rev up your career as a Material Master Data Quality Analyst at Monster Energy, where you'll ensure our data roars with integrity, accuracy, and consistency! Dive into the action by identifying, analyzing, and crushing data quality issues, all while developing rock-solid controls. You'll collaborate with cross-functional teams to keep our data standards high and mighty. Your mission? To ensure our product components and processes are fueled by reliable data, driving effective decision-making across the Monster universe. Get ready to unleash your analytical prowess with the unstoppable energy of Monster! The impact you'll make: Perform data profiling and cleansing activities to identify and document data quality issues. Develop metrics and key project indicators (KPIs) to measure the accuracy, completeness, and consistency of material master data; Work with subject matter experts (SMEs) to identify root causes of data inconsistencies. Analyze data quality issues to determine their origins and potential impacts; Create detailed reports outlining findings, recommendations, and implemented solutions. Collaborate with data stewards and other stakeholders to address the root causes and implement corrective actions. Define and implement data quality rules, validation procedures, and quality checks tailored to material master data. Develop profiling reports and ensure adherence to data governance policies, regulatory requirements, and organizational workflows; Maintain comprehensive documentation of data quality rules and processes. Regularly monitor data quality metrics and dashboards to assess data health and identify areas for improvement; Conduct regular audits to ensure material master data meets organizational standards. Work closely with decision-makers to convey the impact of data quality issues and present actionable solutions; Partner with data stewards, SMEs, and other organizational members to resolve data quality problems effectively. Provide training and educational resources to stakeholders to promote data literacy and governance. Collaborate with data analysts, engineers, and architects to ensure that data quality is a key consideration throughout the data lifecycle; Participate in Agile or similar project management workflows to enhance data systems and ensure compliance with data quality standards. Who you are: Prefer a Bachelor's Degree in the field of -- Data Management, Data Analysis, Data Science or related field of study Additional Experience Desired: Between 3-5 years of experience in data analysis, data management or data science Additional Experience Desired: Minimum 1 year of experience in data analysis, data profiling, root cause analysis, and data quality improvement Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SQL, Python Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Unleash your potential as a Data Quality Analyst at Monster Energy, where you'll supercharge our data management process! Be the ultimate speedster in organizing and analyzing data for flawless, timely, and reliable reports that drive our epic business decisions. You'll be the first line of defense, training data analysts on all things new and shiny. Craft killer training materials like MU courses and presentations, and dive into massive data sets with your razor-sharp critical thinking. Master our reporting and data systems, making game-changing recommendations with a focus on volume reporting and call point management. As the data champion, guide business initiatives and mentor a powerhouse team of analysts, making a legendary impact on Monster Energy's data journey! The impact you'll make: Develop data quality and standards: These are based on analytical research to avoid similar problems in the future. These standards will include building data validation procedures, quality checks and profiling reports. Once created, it is their duty to ensure adherence to regulatory requirements, data governance and documentation workflows. Work with stakeholders and Customers: This could entail informing decision-makers about the implications of issues, working with data stewards to resolve data quality problems or creating educational resources to help other organization members and clients. Data Cleaning and Transformation: Extract, Transform and Load data. Cleanse and transform data to improve its quality and consistency. Implement data cleansing techniques such as standardization, normalization, and deduplication. Develop and execute data quality rules and scripts to automate data cleansing processes. Analyses data quality issues: When problems with data integrity are discovered the Data Quality Analyst will analyze and determine the root cause. This may involve working with other SMEs of the organization such as data stewards to understand how the data is collected, processed, and stored. Data Validation and verification: Validate data against business rules and industry standards. Verify data accuracy through cross-referencing. Implement data validating procedures to ensure data integrity. Identifying data quality issues: This entails using a variety of tools and techniques such as data profiling and cleansing. It is likely that they will work with other SMEs to develop metrics that can be used to measure the accuracy, completeness, and consistency of the data. Monitor data quality: This amounts to assessing and reviewing the data to ensure that it meets the organization's standards. This may involve developing and running tests or using dashboards to track the health of the data. Collaborate with other data professionals: To ensure that data quality is integrated across the entire data lifecycle, it is necessary for them to work closely with other professionals including data analysts and engineers. This may involve collaborating on data modelling and working with data architects to ensure that the structure and quality is considered during the designing and implementation of systems. Create and distribute ad-hoc reports, standard reports, and dashboards based on requestor's detailed requirements. Supports Leadership with ad-hoc assignments. Who you are: Bachelor's Degree, preferably in statistics, computer science, or business administration 3-5 years experience of in-depth analytical and use of reporting tools with large data sets. 3-5 years of experience in related role. Proficient in MS Office with highly developed skills in Excel. Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information. Proficiency in Python, SQL and power BI. Ability to use and learn a variety of query and reporting tools Ability to respond to requests accurately and in a timely manner Ability to identify issues within highly detailed data Ability to develop a solution and/or business process Effective interpersonal and communication skills Highly effective analytical and problem-solving skills - Sees multiple relationships between different sources of data, identifying several likely causes or consequences of a situation. Thorough understanding of Big Data Analytics and processes. High degree of accuracy and attention to detail. Ability to work in group dynamics and stand out during individual projects Good time management skills Strong multi-tasking abilities Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. Location We're seeking a dynamic and motivated contributor to join our team in one of our key office locations: San Francisco. About the Internship Okta is looking for a motivated and enthusiastic Business Systems Analyst Intern to help us support our core business and Human Resources systems. As a Business Systems Analyst Intern you will gain hands-on experience in HR systems by supporting various projects and initiatives within Okta. This internship offers an opportunity to develop skills in Workday, Greenhouse, Cornerstone Ondemand, and contribute to the success of our team. This role will assist other core business systems analysts across IT for strategic and business as usual projects. What You'll Get To Do Assist with day-to-day tasks and projects as assigned by senior team members. Monitor ServiceNow queue, triage requests, and daily transaction processing. Assist in system configuration, reporting, troubleshooting, and overall administration of our Human Resource systems. Assist in the creation of presentations, reports, and other materials. Attend meetings and take detailed notes for reference and follow-up. Collaborate with team members to brainstorm ideas and contribute to project discussions, documentation of processes as needed to achieve project goals and deadlines. Partner with senior team members to support Business and Systems analysis work in areas of defined scope and specific business processes and use established processes to support analysis and output documentation. Develop understanding for current processes, pain points, and assumptions for business systems and continuously identify gaps and opportunities for automation projects that will streamline processes. Support implementation, test plans, and configuration tasks to support successful deployment of strategic and business as usual projects. Partner with People Operations on troubleshooting transactions, process improvements, and documentation. Collaborate with cross functional teams including HR, Finance, IT, Payroll, and business managers. Who We Are Looking For Currently enrolled in a Bachelor's or Master's degree program, preferably in Business. Administration, Human Resources, Information Systems, Computer Science, or related areas and graduating in December 2026 or Spring 2027. Basic understanding of cloud-based applications, data structures, and reporting; exposure to Workday, Greenhouse, Cornerstone Ondemand or similar HRIS is a plus. Desire to pursue a systems-based career. Strong communication and interpersonal skills. Excellent organizational skills and attention to detail. Problem solving and solution mindset. Ability to work independently and collaboratively in a fast-paced environment. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). A positive attitude and willingness to learn. Have a solid analytical mindset, excellent interpersonal communications, diligent time management skills, be team-oriented and have a strong work ethic. General Human Resource processes knowledge preferred. Okta's Intern Program As an intern, you'll do real work that matters. While you're on board, you'll work on meaningful projects and have an opportunity to see what working at Okta is all about. You'll also have the assistance of your mentor and manager to help you develop new skills. Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you'll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too. We offer 12-week summer internships in the U.S. with two available start dates. You may choose from the following options: May 26 - August 14 or June 15-September 4. #LI-Hybrid P24319_3343443 What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************