Data science internship jobs in San Francisco, CA

The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company. Responsibilities: 1. Provide in-depth analysis and language-specific knowledge to ensure high-quality, linguistically informed speech model outputs in the target language. 2. Work closely with cross-functional teams to research local market trends and voice preferences to deliver localization solutions and enhance language adaptation of several global products. 3. Assist in the management of speech and annotation data, to ensure compliance with existing standards. Provide detailed feedback on speech model performance, contributing to iterative model improvements.Minimum Qualifications: 1. Currently enrolled in an undergraduate or graduate program in Linguistics, Language Studies, Computational Linguistics, or a related discipline. 2. Native proficiency in English and one of the following languages: Indonesian and Korean. Native-level fluency in these languages will be essential for monitoring the quality of language data, evaluating speech model outputs, and researching cultural trends in these corresponding regions. 3. Ability to provide clear, objective, and structured descriptions of linguistic features of the target language, without relying on native intuition. 4. Strong phonetic perception, including the ability to distinguish phonemic contrasts and fine-grained errors in pronunciation, prosody, intonation and pitch. Preferred Qualifications: 1. Relevant experience in TTS or LLM. 2. Experience in programming, including but not limited to C, C++, Java and Python. 3. Familiarity with local popular culture associated with the target language.

As a Data Scientist Intern at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. Analytics: You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience Currently is in the process of obtaining a PhD degree in quantitative field Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Curious, self-driven, analytical and excited to play with data Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Ability to thrive in a fast paced work environment Intent to return to a degree-program after the completion of the internship Responsibilities: Perform large-scale data analysis to extract useful business insights. Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups. Work closely with a Product Manager and Engineering team to proactively create metric systems and manage decisions. Classify leads so that the teams work on the most valuable cases. Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: * May 18, 2026 - August 7, 2026 * June 15, 2026 - September 4, 2026 We're looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You'll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. What you'll do: * Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. * Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. * Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. * Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: * Currently pursuing a Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field. * Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) * experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields * Excellent communication skills and the ability to explain learnings to both technical and non-technical partners * Ability to connect data analysis to real business problems, in order to impact business performance. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection * This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We're seeking a curious and versatile intern to join our People Data Science team within People Analytics. This role offers a unique opportunity to work at the intersection of AI development and user experience research, helping us build and refine AI-powered tools (bots and agents) that transform how our organization works with people data. You'll split your time between technical development and user research, giving you hands-on experience in both building AI solutions and understanding how real users interact with them. This is an ideal role for someone who wants to develop technical skills while maintaining a strong focus on human-centered design. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do AI Tool Development * Build and iterate on AI-powered bots and agents that help scale people analytics solutions to enable people analytics team members and internal stakeholders (e.g. HRBPs, recruiters, leaders) * Develop prototypes and proof-of-concepts for new AI applications in HR and people analytics * Contribute to the technical implementation of conversational AI tools, workflows, and automation * Work with LLMs and agent frameworks to create solutions that make people data more accessible User Testing & Enablement * Design and conduct user testing sessions to evaluate AI tool effectiveness and usability * Observe and document how end users interact with AI agents, identifying friction points and opportunities * Gather qualitative and quantitative feedback on user experience with AI tools * Synthesize findings into actionable insights and recommendations for product and enablement improvements What You Need to Succeed * Currently enrolled full time and pursuing a Masters or PhD degree in Industrial Organizational Psychology, Cognitive Science, Data Science, Human-Computer Interaction or related field; or equivalent degree required with an expected graduation date of December 2026- June 2027 * Ability to participate in a full time internship between May-September * Proficiency in Python or R, and SQL * Familiarity with large language models (LLMs) and agentic AI * HR relevant domain expertise (e.g. employee experience, surveys, performance, selection) * Strong interest in user experience and human-centered design principles * Excellent communication skills with ability to translate technical concepts for non-technical audiences * Comfortable switching between technical development work and user-facing research activities Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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

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

Business UnitWhat the Role Entails Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. Responsibilities: 1.Monitor and analyze cutting-edge AI technology trends and their applications in the gaming industry, such as AI animation generation, AI 3D generation, AI NPC and AI gameplay generation. 2.Integrate insights from internal and external experts, combine them with logical understanding, and deliver insights on AI technology development trends and implementation recommendations. Who We Look For 1.Strong interest in gaming and AI technology. good at information acquisition and analysis. 2.A background in STEM (Science, Technology, Engineering, Mathematics) is preferred Location State(s) US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $27.00 to $57.70 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

at Wind River Data Platform Intern Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Data Platform Intern on our team, you'll be the data developer on an Integrated Data Platform who will model data and generate business-driven metrics, that will be illustrated through robust dashboards. In your daily job you will: * Develop SQL code in the Snowflake/dbt environment * Develop Python/Javascript to automate processes * Develop Tableau Data Sources for stakeholders to build dashboards * Apply best practices with regards to data models, dashboards, visualizations HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Working towards a degree in Computer Science with emphasis in Data is a plus * SQL skills required * HTML, Python, Javascript experience required * Snowflake Data Warehouse is a plus * Tableau Cloud experience. * Building Tableau Data Source and Dashboards is a plus * Passionate about data and contributing to the growth of a data driven organization APPLICANT PRIVACY NOTICE: Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be found here . "Wind River is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law" SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************

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 Within IBM Quantum, the Adoption Team is an elite team serving our partners as they research quantum computing solutions for their most pressing business challenges. We keep our partners up to date with the latest technical advances, and make sure they are empowered to use our software and services. As a data scientist intern, you will be supporting our data and analytics mission to drive reporting on and insights into the IBM Quantum partners and community members and your work will enable the team to make data-driven decisions. Focus areas will include adoption and impact of IBM Quantum hardware, software, learning and outreach content, and events. As a data scientist intern, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and parties at partner institutions and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will support end-to-end workstreams, such as the building of new analytics resources and performing of advanced (predictive) data analysis. Successful attributes to thrive in this role are: * Creative in framing and solving complex problems * Self-starter * Agile in navigating a complex organization and in stakeholder management * Organized, with exceptional project management skills * Quick learner with an independent growth mindset * Able to absorb new technical concepts quickly and thoroughly * Excellent communication skills, with the ability to explain technical concepts clearly * Enthusiasm about quantum computing and data science Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * Pursuing a masters or PhD degree in data science or other quantitative field such as mathematics, computer science, statistics or physics * Proficiency with SQL and experience working with relational databases * Proficiency with Python and libraries commonly used for data analysis (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.) * Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch * Experience building dashboards with one or more data visualization tools (experience with Metabase and/or Amplitude a plus) Preferred technical and professional experience * Experience with Github or other version control platform(s) * Demonstrated ability to communicate project insights and findings and propose actionable next steps 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 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.

The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact. The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data. Note: This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work). Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. WHAT YOU'LL DO: The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. CORE DUTIES: * Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. * Identify potentially problematic data, make corrections, and eliminate root cause of data problems. * Build replicable and efficient software code for data cleaning and estimation. * Design and customize reports based upon data in the database. * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics. * Create documentation for all code. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: * Substantial experience with MS Office and analytical programs, including Stata. * Excellent writing and analytical skills. * Ability to prioritize workload. Certifications and Licenses: * None DESIRED QUALIFICATIONS: * Master's or doctoral degree preferred. * 3+ years experience in Stata statistical programming preferred. * 3+ years experience supporting quantitative social science research projects preferred. * Experience managing and analyzing large datasets preferred. * Experience developing efficient code architectures preferred. * Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus. * Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS*: * Constantly perform desk-based computer tasks. * Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. * Occasionally write by hand, twist, bend, stoop and squat. * Rarely stand, walk, reach, or work above shoulders and use a telephone. * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. WORKING CONDITIONS: * Some work may be performed in a laboratory or field setting. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $108,002 to $128,138 per annum/hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4752 * Employee Status: Fixed-Term * Grade: I * Requisition ID: 107573 * Work Arrangement : Hybrid Eligible

Winter 2026 (January - April) Internship - full-time - hybrid required in Palo Alto, CA Mission: We're seeking an MBA intern for an Executive intern role focused on the intersection of finance, data, and strategy. You'll support high-impact decision-making by building dashboards, tracking key metrics, and developing executive-level presentations in close collaboration with the CEO. Responsibilities & opportunities in this role: * Develop and maintain dashboards that monitor key financial and operational metrics. * Analyze data to identify trends, gaps, and opportunities across business units. * Support financial modeling and forecasting efforts as needed. * Assist in the creation of presentations and reports for senior leadership. * Collaborate cross-functionally to gather inputs and ensure accuracy of data used in reporting. * Attend Exec level weekly meeting and manage agenda and follow up. Ideal candidates have/are: * Current MBA student with a focus in finance, strategy, analytics and project management * Strong analytical and quantitative skills; proficient in Excel, PowerPoint, and data visualization tools * Excellent communication and interpersonal skills. * Ability to work collaboratively in a team environment. * Willingness to learn and take on new challenges. * Must be authorized to work in the United States or Canada Ideal candidates have/are: * Experience with system verilog or verilog design languages * Understanding of ASIC design flows * Preferred languages: System Verilog, Python, C, shell scripting * Excellent written and verbal communication skills * Must be authorized to work in the United States or Canada Why Join Us * Purposeful Hiring: You're not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters. * Builders Wanted: You're not just riding the rocket ship, you're building it. Your work directly shapes the trajectory of our company. * Mission-Driven Work: We're here to make a real impact. Our mission fuels everything we do. * Tackling Hard Problems: If easy isn't your thing, you're in the right place. We solve some of the most complex and exciting challenges in our space. * Excellence Is The Standard: High performance isn't just encouraged, it's the baseline. And it's contagious. If this sounds like you, we'd love to hear from you! Compensation: The US pay range for our technical internships is $30-$60 / per hour. The pay range for our non-technical internships is $30-$40 / per hour. Compensation is determined by your location, skills, qualifications, experience and internal benchmarks. This range is specific to roles in the United States, compensation for candidates outside the USA will be dependent on the local market.

Epic is the leading digital reading platform for kids in the U.S., providing engaging and high-quality reading experiences for children around the world. As a User Growth Business Analyst Intern, you'll join the global growth team to support the planning, tracking, and analysis of Epic's user growth strategies in the U.S. market. You'll work across projects such as performance marketing, SEO, educator community growth, and influencer marketing-providing data insights that inform key business decisions. Key Responsibilities 1. Data Analysis & Reporting Support collection, cleaning, and visualization of user growth data (registrations, subscriptions, ROI, retention, funnel performance, etc.). Help maintain growth dashboards and generate weekly/monthly insights reports. 2. Market & Growth Research Monitor U.S. EdTech competitors and analyze their growth strategies. Study growth models (Growth Flywheel, AARRR, LTV modeling, etc.) to support Epic's growth planning. 3. Project Support & Cross-Team Collaboration Assist with user growth initiatives including ad testing, SEO content deployment, A/B testing, and conversion rate optimization. Collaborate with product, marketing, design, and tech teams to ensure smooth implementation of growth strategies. 4. Insights & Reporting Translate data into actionable insights and strategic recommendations. Support preparation of weekly reports, monthly summaries, and executive presentations. Requirements Bachelor's degree or above (in progress). Majors in Economics, Statistics, Marketing, or Business Analytics preferred. Strong analytical and data interpretation skills; proficient in Excel/Google Sheets; SQL or Python experience is a plus. Familiar with key growth metrics (CAC, ROI, LTV, Retention, ARPU, etc.). Good English communication skills; comfortable working in a bilingual environment. Self-motivated, detail-oriented, and passionate about education and children's content. Minimum 3 days per week for at least 3 months. What You'll Gain Real-world experience collaborating with global cross-functional teams. Hands-on participation in U.S. market growth projects (ads, SEO, educators, influencers, etc.). 1:1 mentorship from experienced growth and analytics leads. Priority consideration for a full-time Growth Analyst / Marketing Analyst role upon outstanding performance. Internship Pay : $20 per hour

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a Bachelor's, or Master's degree in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well * Must be able to commit to a 12-week full-time work period during Summer 2026 Preferred Qualifications: * Internship experience in data science By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. + As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills.The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. **What you get to do in this role** + Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. + Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. + Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. + Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. + Develop quick utility dashboards and reports to help accelerate and scale insights delivery + Current enrollment in a **full-time bachelor's** program in Computer Science or a related discipline at an accredited university. + **Graduating December 2026, or later.** + Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). + Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. + Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. + Demonstrated ability to work collaboratively + SQL skills with the ability to perform effective querying involving multiple tables and subqueries. + Experience with Tableau and/or Power BI (or similar analytical packages) required. + Advanced Excel and PowerPoint skills. + Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. **Work Personas** We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here (************************************************************************************************************************************* . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. **Equal Opportunity Employer** ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. **Accommodations** We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance. **Export Control Regulations** For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

**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** Within IBM Quantum, the Adoption Team is an elite team serving our partners as they research quantum computing solutions for their most pressing business challenges. We keep our partners up to date with the latest technical advances, and make sure they are empowered to use our software and services. As a data scientist intern, you will be supporting our data and analytics mission to drive reporting on and insights into the IBM Quantum partners and community members and your work will enable the team to make data-driven decisions. Focus areas will include adoption and impact of IBM Quantum hardware, software, learning and outreach content, and events. As a data scientist intern, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and parties at partner institutions and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will support end-to-end workstreams, such as the building of new analytics resources and performing of advanced (predictive) data analysis. Successful attributes to thrive in this role are: * Creative in framing and solving complex problems * Self-starter * Agile in navigating a complex organization and in stakeholder management * Organized, with exceptional project management skills * Quick learner with an independent growth mindset * Able to absorb new technical concepts quickly and thoroughly * Excellent communication skills, with the ability to explain technical concepts clearly * Enthusiasm about quantum computing and data science **Required technical and professional expertise** * Pursuing a masters or PhD degree in data science or other quantitative field such as mathematics, computer science, statistics or physics * Proficiency with SQL and experience working with relational databases * Proficiency with Python and libraries commonly used for data analysis (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.) * Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch * Experience building dashboards with one or more data visualization tools (experience with Metabase and/or Amplitude a plus) **Preferred technical and professional experience** * Experience with Github or other version control platform(s) * Demonstrated ability to communicate project insights and findings and propose actionable next steps IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. Duties include: * Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. * Compile survey data and clinical research data into usable formats. * Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. * Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. * Conduct feature engineering and missing data imputation as needed, and conduct reliability and validity checks. * Restructure datasets for analyses conducted independently and with other quantitative investigators as needed. * Analyze large, multi-dimensional and longitudinal data sets including Cox regression and multivariable modeling, employing prediction modeling or hypothesis testing approaches as appropriate. * Design and implement tools to independently interpret, analyze and visualize complex data from PAR and single ventricle physiology patients, including clinical, registry, operational, and survey data (including national data registries). * Identify currently unavailable data elements from available data sets, develop strategies for obtaining necessary data, and prioritize data collection approaches based on needs of division stakeholders. * Maintain comprehensive records of available and obtainable datasets, including data elements, dates, numbers of observations, etc. (this includes developing dashboards for data visualization, geared towards pediatric cardiology patients). * Oversee and maintain access to data resources, ensuring compliance with all local and external regulatory and privacy requirements, including the IRB, funding agencies, and database guidelines. * Devise and implement data quality checks to ensure data are clean, accurate, and ready for analysis. * Refine data pipelines as needed to minimize inaccurate or incomplete data. This includes utilizing Google Cloud platform tools to manage and analyze data. * Serve as the technical expert for the Division of Pediatric Cardiology for all new statistical design. * Directly manage and mentor team members in data quality and management. May telecommute within area of intended employment at employer's discretion. ~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~ Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $104,358.00 - $128,038.00 annually. EDUCATION & EXPERIENCE (REQUIRED): Master's in bioinformatics, Biology, Public Health, Biostatistics or a related field and three years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. Or, Bachelor's in Bioinformatics, Biology, Public Health, Biostatistics, or a related field and five years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. ALSO REQUIRES THREE YEARS OF EXPERIENCE IN: * Bioinformatics, including the analysis of longitudinal data, utilizing programming and query languages including Sql, R and Python, database management. * Domain knowledge (national cardiac registries) of PAR and single ventricle physiology datasets. * Mentoring staff in data analysis and data management. * Preparing complex research data, performing advanced statistical analysis including Cox regression and multivariable modeling for journal publications and presentations. * Working UNIX/Linux environment. * Cloud-based computing platforms such as Google Cloud Platform. * Developing and maintaining live dashboards and complex data visualizations specifically tailored for monitoring and improving outcomes in pediatric cardiology. CERTIFICATIONS & LICENSES: None WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Additional Information * Schedule: Full-time * Job Code: 4752 * Employee Status: Regular * Grade: I * Department URL: ******************************* * Requisition ID: 105966 * Work Arrangement : Hybrid Eligible