Data science internship jobs in Florence-Graham, CA - 439 jobs

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. Some of the sweetest perks we offer aren't in a typical benefit package like hefty discount on items we carry - as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Data Analyst, Editorial & Merchandising Strategy role: We're looking for a highly analytical, detail-oriented Data Analyst to join the Merchandising team. Unlike traditional BI roles, this position is embedded within the merchandising organization and focused on connecting performance data to our brand storytelling and fashion positioning. Reporting into the Director of Editorial & Merchandising Strategy, you'll be responsible for aggregating data across channels, analyzing performance through a merchandising and content lens, and delivering clear, actionable insights that help the team make adjustments in real time. Your work will directly inform how we position product, link stories, optimize imagery, refine copy, and ultimately drive traffic and conversion. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Aggregate and synthesize data from multiple sources (email, site, social, paid, merchandising reports) into a cohesive weekly performance readout. Translate data into insights tied to editorial and merchandising strategy, highlighting what's working and what's not in areas such as imagery, copy, linking strategy, and product performance. Present weekly findings in a clear, digestible format to merchandising and marketing leadership, enabling quick pivots and real-time adjustments. Own recurring reporting (weekly, monthly, quarterly) across product categories, campaigns, and trend shops - connecting results back to topline brand and merchandising strategies. Identify shifts in customer behavior, content engagement, and merchandising opportunities, surfacing recommendations proactively. Build dashboards and reports using BI tools (ie Tableau or similar) to track KPIs such as sell-through, conversion, AOV, click-through, and engagement. Partner with BI/data teams to ensure accuracy and consistency of data, while tailoring insights specifically to merchandising and content needs. Act as the “data translator” within the merchandising team, ensuring analytics are always framed within the context of storytelling Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: 2-4 years of experience in an analytical role (ideally within retail, e-commerce, or consumer-facing industry). Advanced Excel and SQL skills; experience with BI/visualization tools (Tableau, Looker, PowerBI, or Domo). Strong business acumen with the ability to connect data directly to marketing, merchandising, and content strategies. Skilled at synthesizing complex data into concise, actionable takeaways that non-technical partners can use immediately. Detail-oriented, proactive, and comfortable working independently in a fast-paced environment. Excellent communication and presentation skills, with a talent for framing insights within a broader narrative. A collaborative team player who understands the strategic vision of editorial and merchandising, not just the numbers A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. For individuals assigned and/or hired to work in California, Revolve includes a reasonable estimate of the salary or hourly rate range for this role. This takes into account the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications. A reasonable estimate of the current base hourly/salary range is $100,000 to $110,000.

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

Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Program DurationThe internship program will run from June 1 through August 28, 2026. Where you'll work This is a hybrid role that requires in-office collaboration three days per week in Los Angeles. About the Role As a Data Scientist Intern at Tinder, you'll help us uncover insights from one of the world's largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You'll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.What you'll do: Explore and analyze large-scale datasets to identify patterns, trends, and opportunities. Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement. Design and execute A/B experiments to measure the impact of product features and algorithmic changes. Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies. Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos. Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements. Participate in improving the team's tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation. What we're looking for: Passion for using data and experimentation to solve complex problems. Intermediate to advanced SQL skills for data querying and analysis. Familiarity with / building to proficiency in Python. Strong foundation in statistics, probability, and machine learning fundamentals. Understanding of data structures and algorithms. Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field. $43 - $43 an hour The compensation range listed above is representative of the hourly rate offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Team The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. You've seen the virality and impact of #TikTokMadeMeBuyIt. Come join the team that is helping scale that phenomenon, and pioneer Content & Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping. The TikTok Shop US operation team aims to deliver high quality products together with a unique customer experience via TikTok. The team is responsible for building the TikTok Ecommerce partnership for the TikTok e-commerce business in the US. With more than 1 billion loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join us to build an e-commerce ecosystem that is innovative, secure and intuitive for our users together. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities: * Developing deep knowledge across all e-commerce creator operations building * Strong data analytical skills * Building close relationships with all cross-functional partners to understand respective business units and priorities * Identify new/existing opportunities to improve operational strategies, drive efficiency and increase productivity * Establish best in class frameworks for cross functional ways of working * Projects will be defined based on the following directions: Creator Performance Management, High potential TikTok Creator incubation, and Merchandising and matchmaking for top e-commerce creators Minimum Qualifications: * Currently Pursuing an Undergraduate/Master in Business or a related discipline. * Data driven; an analytical thinker and experienced in using data and metrics to drive decisions * Experience in program or project management, consultancy, change management, or operations strategy * Proven ability in owning projects from inception to implementation * Experience in process optimization and scaling of efficiency initiatives * Experience managing or working within cross-functional teams * Expert in Microsoft Office products: Excel, Word, Outlook, PowerPoint and MS Project Preferred Qualifications: * Experience in Ecommerce or Tech organizations is preferred * Experience working in matrix, and/or global organizations * Creative, outside-the-box thinker and strategist By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and help develop predictive models and intelligent workflows that drive better member health outcomes, improve quality metrics, and enhance operational efficiency across our Medicare Advantage offerings. You'll work on a diverse portfolio of high-impact projects spanning clinical intelligence, quality improvement, payment integrity, and emerging AI/NLP solutions, all underpinned by our proprietary AVA technology platform. This is a unique opportunity to work at the intersection of healthcare, machine learning, and real-world impact, applying advanced analytics to solve complex problems that improve the quality of healthcare for our members. Job Duties/Responsibilities Collaborate with business stakeholders to understand complex healthcare and operational challenges, then design and implement analytical solutions that drive measurable outcomes Develop predictive models and workflows for AVA, our proprietary clinical intelligence platform, supporting autonomous chart review, clinical analytics, disease detection, and compliance forecasting Build and deploy scalable model pipelines that integrate NLP, random forests, gradient boosted algorithms, ensemble models, and data processing using Python, R, Databricks, MLFlow, and Unity Catalog Design and implement quality improvement models in partnership with our Quality team to enhance member health outcomes, improve Stars ratings, and support HEDIS reporting and forecasting initiatives Develop automated validation and quality assurance models for the Payment Integrity team to improve accuracy and reduce manual review burden Build AI / NLP / LLM solutions for document understanding, including the training of vision detection algos and development / deployment of OCR and NER pipelines that process medical charts at scale Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, GitHub, Azure, and cloud-based infrastructure Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets, supporting RADV audit preparedness and CMS compliance Partner cross-functionally with Pharmacy, Actuaries, Clinical, Data Engineering, and Software Engineering teams to ensure analytical outputs align with CMS guidance and regulatory requirements Support CMS Star Ratings strategy, including HEDIS, CAHPS, and HOS analysis and predictive modeling, and root cause analysis on rate movement through the measurement year Help standardize definitions, documentation logic, and reporting workflows at scale for enterprise-wide AI readiness and analytical capabilities Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling, machine learning, and data science Demonstrated ability to build end-to-end data science solutions with measurable real-world impact Education/Licensure: Preferred: MSc or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, OR equivalent professional experience Other: Strong programming proficiency in Python and/or R (primary focus for this role) Solid understanding of data structures, algorithms, and software engineering principles Demonstrated proficiency in SQL and relational databases Experience with Git and version control workflows Deep knowledge of machine learning algorithms, including deep neural networks, NLP, and LLMs Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from multiple sources Expertise in experimental design, statistical rigor (confidence intervals, significance testing, train/test/validation methodology) Strong data visualization and presentation skills; ability to translate complex analysis into actionable insights Excellent communication and collaborative problem-solving abilities Demonstrated ability to thrive in ambiguous, fast-paced environments while prioritizing effectively Strong analytical mindset with attention to detail and commitment to data quality Preferred Qualifications: Healthcare industry experience or familiarity with healthcare data challenges Hands-on experience with Databricks for distributed data processing and ML workflows Experience with MLFlow and Unity Catalog for model versioning and governance Experience with Azure, AWS, or other cloud ecosystems Familiarity with NoSQL databases Knowledge of CMS and Medicare Advantage operations Published work in academic conferences or industry circles Experience with containerized environments and CI/CD pipelines Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

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.

Vital Lyfe is a tech company redefining water autonomy through innovation - creating a new category of personal water-making technology built to scale where infrastructure can't. Mission We're looking for passionate and driven interns to join our mission and gain hands-on experience working on impactful projects. What You'll Do Conduct water quality analysis and testing for desalination systems. Research and evaluate filtration technologies and material properties. Assist in developing sustainable and efficient water purification methods. Physical Job Requirements - Essential Functions Hands on work on development hardware. Long periods of standing, crouching, walking. Lifting up to 50 lbs What We're Looking For Education: Currently pursuing a degree in Mechanical Engineering, Electrical Engineering, Environmental Science, or a related field. Skills: Experience or coursework in relevant fields (e.g., fluid dynamics, circuit design, thermodynamics, material science). Attributes: A passion for solving real-world problems. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Why Join Us? Impact: Work on technology that addresses one of humanity's most pressing challenges. Hands-On Experience: Tackle real-world projects and gain invaluable industry knowledge. Mentorship: Learn from a team of seasoned engineers and innovators. Growth Opportunities: Contribute to a growing startup and help shape its future. Vital Lyfe is an Equal Opportunity Employer; employment with VItal Lyfe is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

About the Role & Program Join the Content Understanding Data Science team within Disney's Direct-to-Consumer business as a summer intern. You will work with a group of senior data scientists to fine-tune pre-trained models developing Multi-Modal ML models to extract meaningful metadata from video, image, audio, artwork, and text that could be used in numerous downstream applications such as segmentation, forecasting, targeting, and recommendation. These applications can drive significant impacts in Content Programming, Curation, Marketing, and Ads. You will learn skills in ML, NLP, and work with state-of-the-art LLM models, building stakeholder relationships, and executive communication. This opportunity will require close collaboration with Content, Data Engineering, Product and other data scientists. What You Will Do Build pipelines based on video, audio, text, artwork data and get the data ready for modeling. Fine-tune multi-modal foundational models Collaborate with data engineers to ensure the accuracy and quality of data Work with cutting-edge LLM models to extract meaningful metadata Present the methods and outputs effectively using data visualization tools or oral presentations. Required Qualifications & Skills Solid Python programming skills Exceptional curiosity, and a drive to learn new tools and work with new models Strong ability to build relationships with teammates, business partners, and technical colleagues. Hands-on experience with PyTorch/TensorFlow Hands-on experience with modern LLM APIs and familiarity with AI orchestration tools such as Huggingface, Langchain, Google ADK or similar and MCPs Preferred Qualifications & Skills Familiarity with fine-tuning techniques like PEFT, LORA Multimodal model experience (e.g., CLIP, ViTs), Big-data or cloud experience Education Currently enrolled as a Graduate level student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field. Eligibility Requirements & Program Information Candidates for this opportunity MUST meet all the requirements below: Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information The approximate dates of this position are May/June 2026 through August/September 2026 Able to provide/have reliable transportation to/from work Fully available from Monday-Friday for the duration of the position, 40 hours per week The pay rate for this internship in California is $47 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: **************************************** Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Technology Intern Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-01-14

Requisition ID: 900045 Position:Seasonal/TemporaryShift: Total Rewards: Benefits/Incentive Information If you've worn a pair of glasses, we've already met. We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms. Our unique business model and relentless pursuit of operational excellence ensures that consumers everywhere have access to products. Balancing speed, efficiency and proximity, the Company manages a global supply chain with cutting-edge technology, based on centralization for frames and on a capillary network for lens finishing and prescription laboratories. In our dynamic environment, fueled by technology and innovation, our people have the space to pioneer new solutions. Oakley is part of EssilorLuxottica. Building on our legacy of innovative, market-leading optical technology, we manufacture and distribute high performance sunglasses, prescription lenses and frames, goggles, apparel, footwear, and accessories. Every day at Oakley is a chance to grow, go further and achieve more. Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!GENERAL FUNCTION Oakley. Designed to push the boundaries of performance. From advanced eyewear technology to apparel innovation, Oakley sets itself apart from the rest. Backed by the power of Luxottica, our athletes and customers expect the best in sports performance and Oakley employees help to fuel this drive. The Oakley Summer Internship Program is a 10-week immersion into the Oakley brand. It's a project-based internship where you will have the opportunity to learn, collaborate, and contribute to business success by working on priority projects. At Oakley, we love what we do! We are looking for students who share our passion and can turn their passion into dedication and focus to deliver great results. See possibilities at Oakley by joining us as a summer intern in an Analytics related function. MAJOR DUTIES AND RESPONSIBILITIES Create and manage operational reports to provide insights to the business. Performs in-depth research, analyzes data, and communicates findings. Performs data analysis and recommends opportunities for process improvement. BASIC QUALIFICATIONS Actively pursuing a degree in Business Analytics, Information Technology, Finance, Mathematics, Statics, or related major Strong excel skills Strong blend of analytical and creative problem-solving skills Minimum 3.0 GPA Must be authorized to work in the U.S. Available the full 10-week program, 40 hours per week Interest in corporate finance & accounting. Ability to multi-task and thrive in a fast-paced, dynamic environment PREFERRED QUALIFICATIONS Study abroad or international exposure Demonstrate leadership ability and relationship building skills Pay Range: $30/hr - Undergraduate. $35/hr - Graduate. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts. EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at ************ (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email ********************************. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law. .job Title{ display:none !important; } Nearest Major Market: Orange County Nearest Secondary Market: Los Angeles Job Segment: Supply Chain, Business Process, Garment, Apparel, Merchandising, Operations, Management, Fashion, Retail

Data Management and Entry Analyst IV(Job Number: 1398966) Description Job Summary:This position is essential for driving master data standards, governance, and integration across supply chain and clinically impacted systems, ensuring accuracy, compliance, timeliness, and operational efficiency while supporting strategic objectives on quality, service, cost optimization and risk mitigation. The role requires strong analytical capabilities and a technology-forward mindset, leveraging advanced data tools and technologies (e.g., Excel, Power Query, visualization platforms like Power BI or Tableau) and emerging solutions to optimize workflows and uncover insights. Key responsibilities include:- End-to-end data stewardship: Managing, maintaining, and reconciling complex supply chain, financial, and clinical data elements with precision and speed.- Advanced data analysis: Performing data transformation, validation, and interpretation to identify patterns and actionable insights, using technology to improve efficiency and reduce manual effort.- Integration and governance: Ensuring seamless synchronization of master data across multiple systems while enforcing standards and compliance to reduce risk.- Supply chain expertise: Applying knowledge of sourcing, contracting, procurement, and inventory management to ensure accurate master data setup and readiness for transactions across all functions.- Strategic collaboration: Partnering with cross-functional teams across sourcing, procurement, inventory, finance, IT, and operations to influence decisions, validate configurations, and support business objectives.- Continuous improvement: Developing dashboards, metrics, and reporting frameworks to monitor data integrity, identify trends, and enable proactive decision-making, while adapting to evolving technologies and industry best practices.This position requires a curious, problem-solving mindset - someone who can connect the dots across business functions and systems, anticipate impacts, identify risks, resolve issues, and apply solutions to enhance data standards, governance, and operational excellence.Essential Responsibilities:Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross-functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self-development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations. Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome.Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines . Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions.Manages overall data process and maintenance by: entering, maintaining, and reconciling data; verifying accuracy of information independently; and responding to moderately complex requests independently for data from various departments to support business processes.Contributes to data abstraction by: identifying and capturing key moderately complex administrative and clinical data elements, such as patient data; reviewing medical records to identify moderately complex data required for secondary use; leading the review of regulatory requirements to ensure that changes are integrated correctly (e.g., metric changes); leading the review of information from electronic health records and uploading for use and reduction of abstraction needs; and transferring data as needed for a variety of data transfers.Supports or leverages data processing by: conducting somewhat advanced data uploads; coordinating with the team on the verification and organization for a variety of data; and reconciling complex discrepancies between data sources and escalating issues to a supervisor/manager and coordinating with other departments as needed.Qualifications Minimum Qualifications: Minimum one (1) year of experience in a leadership role with or without direct reports. Bachelors degree in Business Administration, Health Care, Information Systems, Human Resources, Operations Research, Public Health Administration, or related field AND Minimum five (5) years of experience in health care data analysis, relational database management, business process improvement, training delivery, clinical research or a directly related field, OR Minimum eight (8) years of experience in health care data analysis, relational database management, business process improvement, training delivery, clinical research or a directly related field.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure The salary range for this role is $33.00-51.00/HR for Palo Alto based applicants, $26.00-45.00/HR for Irvine based applicants, and $25.00-$40.00/HR for Normal and Plymouth based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). There is no fixed deadline for this application; applications are accepted on an ongoing basis until the role is filled or the opening is no longer needed. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

LegalZoom is on a mission to help people navigate the legal system with confidence and clarity. As a leader in online legal services for over 20 years, we combine technology, attorney-led solutions, and expertise to protect the aspirations, lives, and legacies of millions of customers. If you're ready to contribute to a collaborative, diverse, and distributed group of creative thinkers and problem-solvers, we can't wait to meet you. Candidates must be located in the Mountain View CA or Los Angeles CA area. Overview We're hiring a Staff Data Scientist to partner with our Partnerships team and Finance as a proactive thought leader. The Partnerships team builds and scales acquisition and ecosystem relationships with partner companies, integrating experiences and co‑marketing to drive measurable growth, margin, and customer value. You'll develop metrics, experiments, and models that power partner onboarding, standardized measurement, pricing strategy, and performance optimization. You'll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to ensure data requirements are captured early and instrumentation is consistent across systems. You will * Act as a data thought partner to Partnerships and Finance, guiding strategy and prioritization with proactive analysis and clear recommendations. * Lead standardized measurement for partner performance by defining KPIs, building partner scorecards, and operationalizing a single source of truth across dashboards and self-serve tools. * Embed data requirements into the partner lifecycle (from contract discussions through onboarding) to ensure we can reliably measure attribution, conversion, LTV, revenue share, and ongoing ROI. * Drive partner onboarding analytics by aligning tracking and event schemas with Data Engineering, Product, and Engineering; close gaps in attribution and funnel visibility. * Own pricing strategy and optimization analytics (elasticity measurement, price tests, revenue and margin tradeoffs) and advise on deal structures with Finance. * Design and analyze experiments (A/B and multivariate) and run causal inference studies (e.g., diff-in-diff, matching, synthetic control) when randomized tests aren't feasible. * Build and evolve partner/channel custom attribution approaches (rule-based baselines to model-based methods) that inform spend allocation, partner incentives, and roadmap decisions. * Explore "green-field" opportunities via proactive deep dives, root-cause analyses, and opportunity sizing across the partner ecosystem and in-product experiences. * Ship durable, production-grade analytics and data layers with well-documented pipelines in partnership with Data Engineering. * Communicate insights to partner-facing stakeholders in clear, layperson terms; support adhoc analyses and weekly business review narratives as needed. You have * 7+ years in data science, decision science, or advanced analytics with a track record influencing senior stakeholders and driving measurable business outcomes. * Advanced proficiency in SQL and strong skills in Python for analysis, modeling, and reproducible workflows. * Experience working with modern data stacks including a modern cloud warehouse (e.g. Snowflake), orchestration (e.g. Airflow), attribution analytics (GA4/Segment), version control (GitHub), BI/visualization (ThoughtSpot/Tableau), and notebook tools (Hex/Jupyter). * Excellence in data storytelling-able to translate complex findings into crisp, actionable recommendations for non-technical audiences. * Business acumen in pricing, partner economics, and financial modeling, with an ability to collaborate closely with Finance. * Experience partnering with engineers on instrumentation and data quality. * Expertise in metric development and experimentation, including test design, power analysis, and end-to-end evaluation. * Hands-on experience with causal inference methods and pragmatic application to business decisions. * Familiarity with AI/ML techniques (e.g., uplift modeling, classification/propensity, forecasting) and when to apply them vs. simpler baselines. LegalZoom is a remote-friendly company and the national range for this role is ($140,500-$182,100). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below. ● Medical, Dental, Vision Insurance ● 401k, With Matching Contributions ● Paid Time Off ● Health Savings Account (HSA) ● Flexible Spending Account (FSA) ● Short-Term/Long-Term Disability Insurance ● Plus other wellness benefits to include: Fertility Mental Health One Medical Fringe lifestyle benefits up to $250 Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Additionally, LegalZoom is enrolled in the E-Verify program. For additional information on E-Verify, please visit Participation and Right to Work pages.

At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program. Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** Responsibilities Project Scope: * Automate Quality Metrics: Design and implement processes to extract, transform, and load (ETL) source data into usable formats, reducing manual reporting effort. * Develop Interactive Dashboards: Build a Power BI dashboard that provides real-time visibility into quality performance and supports business decision-making. * Create AI-Based Tools: Develop an AI-driven interface to assess risks and predict potential quality failures, leveraging machine learning concepts. * Collaborate Across Teams: Work closely with IT to secure data access and integrate enterprise systems, ensuring compliance with security and governance standards. * Deliver Business Impact: Provide solutions that improve operational efficiency, enhance data accuracy, and support continuous improvement initiatives. What you'll gain: This internship offers a unique opportunity for the student to apply classroom knowledge to real-world challenges in data analytics, automation, and AI. The intern will gain hands-on experience working with enterprise systems and MS365 tools to automate quality metrics, develop interactive dashboards in Power BI, and build AI-driven solutions for risk assessment and predictive quality analysis. They will collaborate with IT and business teams, gaining exposure to cross-functional processes and decision-making. This experience provides practical skills in high-demand areas, portfolio-worthy deliverables, and valuable networking opportunities-preparing the student for a successful career in data science, analytics, or technology-driven business roles. The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements. Qualifications * Data Science / Data Analytics: For expertise in data transformation, visualization, and predictive modeling. * Computer Science: For strong programming skills and familiarity with automation and AI/ML concepts. * Additional Preferred Skills & Tools: * Proficiency in Power BI, Excel, and MS365 tools. * Familiarity with ETL processes and data transformation. * Basic understanding of AI/ML techniques for predictive analytics. * Strong communication and collaboration skills for working with IT and business teams. * Must be able to commute and work on-site 5 days a week. * Must be currently enrolled as a fulltime student at an accredited four-year college or university * Experience with MS Project, Excel and PowerPoint. * Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken. Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation. #LI-VK1 REQ-153358

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

EPCVIP is a technology company specializing in lead generation within the Financial Services Industry. Our expertise in PPC traffic, search engine, display and email marketing has propelled us to the forefront of the lead generation industry. We have developed a customizable optimization platform, allowing us to yield the highest EPCs in the industry. The key to our success is attributed to our talented employees and superior proprietary technology. We are looking for a Junior Data Analyst to support the Revenue teams by monitoring the daily performance of marketing and revenue campaigns. This role is responsible for ensuring data accuracy, identifying trends, and recommending optimizations to improve campaign ROI and overall revenue performance. The analyst will also assist with ad hoc reporting and insights requests across cross-functional teams. Key Responsibilities Monitor daily campaign performance metrics across multiple platforms and identify areas requiring adjustment or optimization. Collaborate closely with Revenue and Marketing teams to ensure campaign targets and KPIs are achieved. Create, maintain, and update performance dashboards and reports using Excel or Amazon QuickSight. Perform ad hoc data analysis to support revenue strategy, forecasting, and operational initiatives. Ensure data integrity, consistency, and accuracy across campaign, performance, and financial reporting systems. Communicate key insights, trends, and performance updates to stakeholders in a clear and actionable format. Job requirements Education Bachelor's degree in Business, Marketing, Statistics, Data Analytics, or a related field. Experience 1-2 years of experience in data analytics, digital marketing, or a related field preferred. Skills Strong proficiency in Excel, including pivot tables, lookups, and data cleaning. Experience with data visualization tools such as Tableau or Amazon QuickSight is a strong plus. Strong analytical and problem-solving skills with the ability to identify trends and insights. Ability to interpret data and present findings clearly to both technical and non-technical audiences. High attention to detail and commitment to data accuracy and reporting quality. Certifications: Not required, but certifications in Google Analytics, SQL, or data visualization tools are a plus. AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER EPCVIP, Inc is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, criminal history, genetic information or any of the protected classes. EPCVIP, Inc is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact Human Resources at ************* . All done! Your application has been successfully submitted! Other jobs

STS Metals is a unified organization composed of five businesses working together to deliver high-quality titanium, stainless and alloy steel and nickel products. We proudly serve the aerospace, medical, industrial, and space industries with a commitment to innovation, manufacturing excellence, and superior customer service. We are seeking a detail-oriented and analytical Production Data Analyst Intern to support our operations team in improving data accuracy and efficiency across key production areas. The intern will record, analyze, and benchmark run-time data from Saws, Grinding, and Forge operations. This position provides valuable hands-on experience in time studies, process analysis, and continuous improvement within a manufacturing environment. The intern's findings will directly support improved production benchmarking and quoting accuracy across operations. This role will help identify better methods for capturing key performance data to support data-driven decision making This position is classified as a temporary internship, part-time (approximately 20 hours per week), with an expected duration of six months. Typical days and hours of work will be coordinated with the assigned supervisor to accommodate both school and business schedules. This role is ideal for students pursuing a degree in Mechanical, Manufacturing or Industrial Engineering who are eager to apply classroom concepts to real-world challenges while developing technical, analytical, and professional skills. Successful interns may be considered for a full-time positions upon graduation, depending on performance and business needs. Conduct detailed time studies and data collection on Saws, Grinding, and Forge operations. Analyze collected data and compare findings to current assumptions and standards. Evaluate setup times, run rates, wheel consumption, and blade life by alloy and operation. Identify opportunities for improved data accuracy and process efficiency. Develop recommendations for enhancing production data capture methods and KPI tracking. Prepare reports and visual summaries to communicate key findings and trends. Qualifications Currently enrolled in a Mechanical Engineering or Industrial Engineering program (junior or senior level preferred). Strong proficiency in Microsoft Excel and data analysis Attention to detail and analytical thinking Ability to work independently and handle multiple tasks Interest in process improvement, time studies, or manufacturing analytics

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you! ZURU is on a mission to disrupt across industries, challenge the status quo and catalyst change through radical innovation and automation advances. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; ZURU Edge is pioneering new generation FMCG brands to better serve modern consumers. Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5000 direct and indirect members across more than 30 international locations. One of the largest toy companies in the world, globally recognised and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns and Smashers. Our global FMCG brands include MONDAY Haircare, Rascals, NOOD, BONKERS, Gumi Yum Surprise. What You'll Do Assist in collecting and organizing data from various sources, including databases, file shares, and external data sets, ensuring accuracy and completeness for analysis. Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets using statistical tools and software. Write and execute SQL queries to retrieve information from databases for specific analysis projects, ensuring data integrity and efficiency. Collaborate with cross-functional teams to understand data needs and deliver actionable insights through data analysis. Participate in the design and implementation of new data collection and analysis methodologies to improve the quality and efficiency of data-driven decision-making processes. Document analytical methodologies, coding procedures, statistical findings and progress reports to ensure transparency and reproducibility of results. Support the maintenance and troubleshooting of data analytics tools and software, including performing updates and ensuring compatibility with data sources. The hourly rate for this position is $20 - $25 per hour. Please note this role is based in-person in our LA office. What You'll Gain Experience with real-world data analysis and hands-on application of techniques. Learn practical skills and best practices applicable to industry-wide analytics tools. Develop your data analyst skills by working with experienced professionals to improve your insight creation and practical expertise in data collection, analysis, and interpretation. Be exposed to an ever-expanding and far-reaching business across a wide variety of sectors and industry groups giving you a chance to learn about market practices, challenges, and trends. You'll gain valuable insights into how data is used across different sectors, helping you see how your skills make a real impact in the business world. What You'll Bring Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. A go-getter with energy, creativity and determination to continuously improve and push boundaries. $20 - $20 an hour LIFE@ZURUAt ZURU, we have cultivated a high-performing culture that encourages excellence. Our team works towards ambitious goals, learning, performing, and improving together, all while having fun. We empower talented individuals to do their best work every day. At ZURU, you get out what you put in. You are responsible for driving your own career and we provide the platform to achieve it. As ZURU is on such a fast growth trajectory, there are opportunities here that you won't find anywhere else. We recognise that ZURU's success stems from our people and you can only be at your best when you are looking after yourself. ZURU encourages all our team members to invest in their wellbeing by providing an array of benefits and tools. WHAT WE OFFER🌱 Culture for Growth🌎 Global Opportunities💡 Be surrounded by an A Player Team💰 Competitive Remuneration ZURU - Tomorrow Reimagined🚀ZURU.com#LI-AJ1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Introduction A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. About Business Unit: IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. Your role and responsibilities Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in telling stories through data to solve real world business problems. The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution. As an intern Data Scientist, you'll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on innovative projects that generate value for external client engagements or internal initiatives. 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 must make critical decisions every day 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. This position resides in Toronto, Montreal or Ottawa and is a 4 months work term commencing in May 2026. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work-term. Please note that MBA and PHD Candidates are not eligible for this program. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications. * Experience with one or more scripting languages (Python preferred), or a proven computer science foundation * Hands-on experience with GenAI/Agentic AI Famework (eg. langchain, semantic kernel, LangGraph, AutoGen, etc.) and LLM concepts (prompt-engineering, RAG, etc.) * Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team. Preferred technical and professional experience * Minimum one work term in a data science or machine learning related role. * Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, TensorFlow). * General familiarity with databases and data-engineering tools (SQL, Spark). * Familiarity with cloud platforms (e.g. IBM, Cloud, Azure, AWS). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. 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 Must have the ability to work in Canada without sponsorship. This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.

PIMCO is a global leader in active fixed income. With our launch in 1971 in Newport Beach, California, PIMCO introduced investors to a total return approach to fixed income investing. In the 50+ years since, we have worked relentlessly to help millions of investors pursue their objectives - regardless of shifting marketing conditions. As active investors, our goal is not just to find opportunities, but to create them. To this end, we remain firmly committed to the pursuit of our mission: delivering superior investment returns, solutions, and service to our clients. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. 2026 Summer Internship - Business Development Support Analyst, US Internship positions are located at PIMCO's Newport Beach, CA Headquarters. You're eligible to apply if you: Pursuing an undergraduate degree Must be able to begin full time employment at a PIMCO office between January 2027 - August 2027 Must be enrolled at a university during the Fall 2026 semester (August 2026 - December 2026) Have a minimum 3.2 cumulative collegiate grade point average on a 4.0 scale (or the equivalent) at an accredited 4-year college or university Are business proficient in English See yourself as a Business Development Support Analyst: The Business Development Support group plays an integral part in the initial sales/marketing process for prospective clients, as well as in the servicing of PIMCO's existing clients and investment consultants worldwide. The BDS team utilizes a collaborative team approach and works closely with PIMCO's investment professionals, especially with Product Strategists and Account Managers, to respond to new business proposals across PIMCO's public and private market strategies and provide superior client servicing. Your primary responsibilities will include: Developing a strong understanding of the firm's strategy offerings and overall investment approach; presenting strategy summaries in bi-weekly meetings Researching and analyzing market trends, competitor activities and client needs to provide actionable insights Learning how to access, analyze and report data from the firm's proprietary systems, the BDS team's content library software and other data solutions actively used across the firm to service clients. Assisting with the completion of Requests for Proposals (RFPs) and questionnaires (general and due diligence), and various ad hoc requests to maintain strong client relationships and aid in business growth You'll excel as a Business Development Support Analyst if you: Demonstrate proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) Are familiar with financial markets and have a strong interest in learning about fixed income, the asset management industry, and client/consultant relationships Have demonstrated strong analytical and problem-solving skills, which are crucial for data analysis and market research Have excellent time management & organizational skills and ability to flourish in a challenging, fast-paced, professional environment Show commitment to quality and attention to detail; ensure that work is complete, accurate and on time Show strong communication skills and ability to interact professionally with all levels of internal and external personnel in both written and verbal communications Have experience or prior college internships in a financial, client-oriented role and/or demonstrated interest through business, finance, and analytics coursework, as well as relevant professional and student organizations While our eligibility requirements are not flexible, we encourage you to apply even if you do not possess 100% of the desired skills outlined above. The PIMCO Internship Experience: The PIMCO Internship Program runs between Monday, June 8th - Friday, August 14th, 2026, with the expectation that you will be available for the full duration of the program During Week 1, you'll participate in PIMCO Fundamentals Training, providing you with the skills, knowledge, and relationships that will prepare you for success Alongside your colleagues, participate in PIMCO's Global Month of Volunteering, developed to heighten the impact of our employees' worldwide volunteer efforts Join us for a variety of cross-divisional education, networking & social events! Your supervisor, peer mentor, senior leaders and team offer guidance and mentorship throughout the summer You'll receive feedback at mid- and end-of-summer as part of a formal review process to keep you on the path to meeting your summer goals Want to learn more? Hear about The PIMCO Internship Experience from past interns As a PIMCO intern, you'll receive competitive compensation, along with a transition bonus to help with relocation to one of our office locations How you should apply: Applications open in August 2025. We review applications on a rolling basis and encourage you to apply by submitting your resume as soon as you are ready. What to expect during the interview process: After we receive your application, we will conduct an initial review of your resume If you are selected to move forward, you will have the opportunity to showcase your interests, skills, and personality by completing a one-way video interview If you are chosen to proceed after the video interview, you will then take an assessment Once you complete the assessment, you will have a final round of live interviews with us via video conference. These interviews typically include both behavioral and technical questions PIMCO is an equal opportunity employer committed to creating an inclusive, cognitively diverse environment. For more information on PIMCO and Career Opportunities, please visit ****************************** PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Hourly Rate: $ 37.50 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at ************ and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.