Data analyst internship jobs in Richland, WA

PhD Research Intern - Speech AI Centific AI Research Fulltime - 40 hours per week Centific AI Research seeks a PhD Research Intern to design and evaluate speech‑first models, with a focus on Spoken Language Models (SLMs) that reason over audio and interact conversationally. You'll move ideas from prototype to practical demos, working with scientists and engineers to deliver measurable impact. Scope of Work End‑to‑end speech dialogue systems (speech‑in/speech‑out) and speech‑aware LLMs. Alignment between speech encoders and text backbones via lightweight adapters. Efficient speech tokenization and temporal compression suitable for long‑form audio. Reliable evaluation across recognition, understanding, and generation tasks-including robustness and safety. Latency‑aware inference for streaming and real‑time user experiences. Example Projects Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM; compare against strong baselines. Create a data recipe that blends conversational speech with instruction‑following corpora; run targeted ablations and report findings. Build an evaluation harness that covers ASR/ST/SLU and speech QA, including streaming metrics (latency, stability, endpointing). Ship a minimal demo with streaming inference and logging; document setup, metrics, and reliability checks. Author a crisp internal write‑up: goals, design choices, results, and next steps for productionization. Minimum Qualifications PhD candidate in CS/EE (or related) with research in speech, audio ML, or multimodal LMs. Fluency in Python and PyTorch, with hands‑on GPU training; familiarity with torchaudio or librosa. Working knowledge of modern sequence models (Transformers or SSMs) and training best practices. Depth in at least one area: (a) discrete speech tokens/temporal compression, (b) modality alignment to LLMs via adapters, or (c) post‑training/instruction tuning for speech tasks. Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting. Preferred Qualifications Experience with speech generation (neural codecs/vocoders) or hybrid text+speech decoding. Background in multilingual or code‑switching speech and domain adaptation. Hands‑on work evaluating safety, bias, hallucination, or spoofing risks in speech systems. Distributed training/serving (FSDP/DeepSpeed), and experience with ESPnet, SpeechBrain, or NVIDIA NeMo. Tech Stack PyTorch, CUDA, torchaudio/librosa; experiment tracking (e.g., Weights & Biases). LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed. FastAPI/gRPC for services; ONNX/TensorRT and quantization for efficient inference. What We Offer Competitive stipend and hands-on projects with measurable real-world impact. Mentorship from applied scientists and engineers; opportunities to publish and present. Access to modern GPU infrastructure and a supportive environment for fast, responsible experimentation. Flexible location and schedule options, subject to team needs. Benefits: Comprehensive healthcare, dental, and vision coverage 401k plan Paid time off (PTO) And more! Learn more about us at centific.com. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Dr. Martens is a globally recognizable and culturally influential British brand, with over 60 years of rich heritage. As brand custodians, we are lucky to work for a dynamic, thriving, and ethical business, with people from diverse backgrounds, who bring their true selves to work, and where anyone can grow their career. We are guided by three core values that are at the heart of everything we do: be yourself, act courageously, and show you care. They make us who we are and inspire us to push boundaries, embrace our individuality, and stand up for what's right. SO, WHAT'S THE STORY? You have a background in accounting or finance with experience under your belt. You're looking to join a business where you will be integral in the budgeting of the P&L. You get the Dr Martens brand and are excited to support our growth plans across North America. THE ROLE Support FP&A Manager in the creation and execution of annual budget process, quarterly re-forecasts, and monthly projections. Working with FP&A team to consolidate revenue channel budgets and forecasts. Support FP&A Manager in monthly review and forecasting of support function OPEX, CAPEX, and fixed asset reporting, including but not limited to analysis of accruals, purchase orders and invoices. Support preparation of the monthly Sales & Operations reporting package, validating inputs and checking for data accuracy and consistency. Support management of regional P&L monthly, checking for latest actuals, budget, and supporting file accuracy. Analyse the detail behind the numbers, proactively seeking out issues with integration and reporting and working with the relevant departments to find solutions. Actual vs forecast variance analysis Help automate, refine and enhance financial reporting and KPIs to ensure clear, consistent and impactful reporting. Support in continued efforts to automate, improve and optimize reporting and maintaining standard operating procedures. Provide ad hoc analysis and reporting as requested by local and global finance teams and our auditors WHAT WE ARE LOOKING FOR Bachelor's Degree in Finance or Accounting required. Proven experience in Finance Planning, Analysis, or Accounting, preferably in footwear, fashion, or related industry. Advanced Excel skills required (power user) Experience building, debugging, and maintaining macros, Power Query connections and Power Pivot models preferred. Proficiency in data analysis, visualization tools such as Power BI, as well as supportive programming languages such as Dax, Python, R and Excel VBA preferred. CPA or solid understanding of GAAP / IFRS is preferred. Experience in leveraging financial and non-financial data on various platforms Highly organized with a strong work ethic and demonstrated teamwork skills. Detail-oriented. Possess the desire and drive to learn quickly. Proven ability working in a hands-on fast-moving environment to agreed deadlines that may require a rapid turnaround. Skilled at prioritizing and adjusting to the changing demands of the business. Confidence to build credibility quickly with stakeholders within and outside of the Finance function. Professional level written and verbal communication with a variety of thinking types. Strong business and financial acumen. Proven ability to think creatively with strong problem-solving skills. Ability to draw concise and crisp conclusion from complex and detailed data, presenting high quality analysis to drive decision making. Ability to work at a standard computer set up 40+ hours, with or without accommodations. At Dr. Martens, we live and breathe our 3 core values -they're at the heart of who we are. They never stand alone but work together as a balancing act of rights and responsibilities to support how we work together at DM's. BE YOURSELF. ACT COURAGEOUSLY. SHOW YOU CARE. Our values also underpin the DM Way, our behavioural framework, which describes the 8 factors that drive success for our people. Your technical capability will go hand in hand with our DM Way success factors: Develop: build on your strengths and superpowers while stepping outside your comfort zone to encourage growth and development - both for yourself and your colleagues. Lead: set individual performance and development goals linked to our business strategy. Maintaining motivation, supporting others and embodying our purpose and values. Explore: understand the consumer impact of your role, connect with other teams, and see the bigger picture within DM's. Invent: challenge conventions, respecting DM's heritage while offering practical improvement suggestions and ideas. Connect: contributes to positive team energy by valuing diverse perspectives, promoting open dialogue, and building strong relationships within and beyond the team. Influence: share ideas confidently, listen empathetically, and adapt approach to resonate with others, bringing positivity and strong communication skills to inspire enthusiasm. Drive: embody pride in our brand, proactively seek improvement, and deliver on promises with integrity. Show initiative, resilience, and a commitment to continuous improvement. Organise: prioritise demands, manage time effectively, and identify opportunities for improvement. WHAT'S IN IT FOR YOU? Welcome to the brand pair of Docs Employee discount of 65% off footwear and 50% on accessories Early Friday finish in the summertime Amazing Portland based office & rooftop Hybrid work schedule Affordable & comprehensive Medical, Dental & Vision packages Our Employee Assistance Program - for when times might get tough 401(k) Pre-Tax and Roth Retirement savings plans DM Foundation, supporting and empowering our communities around the world Paid volunteer hours We strive to create an accessible and inclusive application and selection process. We are committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at ****************** and we will work with you to meet your accessibility needs. At Dr. Martens, we are committed to creating an environment in which we can all be our best and bring our authentic selves to work. We encourage applications, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, or disability. Diverse and inclusive teams have a positive impact on our brand; helping us to authentically speak to our consumers. We strive to develop a business where our people can thrive and feel empowered to express themselves. Because we believe everyone should feel supported and included, whatever their role in the Dr. Martens community.

The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. This role for our US Operations team will be providing data solutions to E-commerce Operations teams to help solve interesting challenges for our Creator & Merchants. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Develop metrics and dashboard to measure business performance; * Identify trend and pattern from data and provide attribution of metric movement; * Provide actionable insights to drive the growth of business and improvement of operational efficiency.Minimum Qualifications: * Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc; * To succeed in the role, you need to be a proactive, self-driven and impact driven person; * Be able to work with cross-functional teams in a fast speed environment; * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Proficient in SQL and one of the main data visualization tools such as tableau; * E-commerce or online marketplace experience is strongly preferred. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

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

About Centific At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do Create data labels for email fraud scenarios using a data labelling platform Analyze the quality and performance of the data labels and the AI models Provide feedback and suggestions for improving the data labelling process Collaborate with the data science team and other stakeholders on data labelling projects Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

Let's do great things, together! About Moda Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we're focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let's be better together. Position Summary The Healthcare Data Analyst is a critical resource in our efforts to manage health care costs, improve quality, and enhance the experience of both the member and the care team, through sophisticated analysis and communication of health care data. This is a FT WFH role. Pay Range $70,579.27 - $88,224.08 annually (depending on experience). *This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range. Please fill out an application on our company page, linked below, to be considered for this position. ************************** GK=27765790&refresh=true Benefits: Medical, Dental, Vision, Pharmacy, Life, & Disability 401K- Matching FSA Employee Assistance Program PTO and Company Paid Holidays Required Skills, Experience & Education: Bachelor's degree or equivalent experience. Minimum 3-5 years' experience in financial analysis or other data analysis role. Experience with health care data preferred. Demonstrated ability to use data to influence organization strategy, workflows, or results Strong analytical and problem solving skills Strong verbal, written and interpersonal communication skills. Experience with using data analysis tools such as SAS, SQL, Microsoft Access, Business Objects, Crystal Reports, or other similar applications. Strong Microsoft Excel skills. Ability to work well under pressure and with constantly shifting priorities. Ability to project a professional image and maintain complete confidentiality. Primary Functions: Under general supervision, performs complex research and analysis of healthcare claims, enrollment, and other related data, to report on network utilization, cost structure, and/or quality. Combines and transforms data from multiple tables, databases, and/or systems. Has a high level of understanding of data sources, flow, and limitations. Is able to develop reports and processes that appropriately integrate data from multiple sources. Evaluates, writes, presents, and provides recommendations regarding healthcare utilization, quality measure, and cost containment reports. Meets with internal customers to brainstorm what kind of information/report is needed for each situation. Thinks creatively about how to solve a problem or meet a specific business need, given the data available. Makes presentations to internal & external stakeholders about health care cost and utilization. Presents data in a compelling way that highlights the opportunities at hand - whether in making comparisons to benchmarks, pointing out anomalies, displaying trends over time, or using other creative analytical tools. Collaborates with the other members of the Analytics team to expand analytical capabilities, methods, and toolkits. May provide guidance or expertise to less experienced analysts. Other Duties as assigned Working Conditions: Prolong keyboard and PC work in a constant seated position. Work in excess of 40 hours per week, including evenings and occasional weekends, to meet business need. Together, we can be more. We can be better. Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our ***************************** email.

Hi My name is Ruchie Agarwal and I'm an Sr. Team Lead at Droisys. Our records show that you are an experienced IT professional with experience relevant to one of my current contract openings. Kindly send me your updated resume along with the below mentioned details: Full Name: Contact #'s: E-mail Address: Current Location: Authorization Status: How soon you can Join: Willing to Relocate: Interview Time Slot: Skype ID Highest Education US Experience: India Experience: DOB: Skill Matrix: Sr. No. Skill Years of Experience Rate Your Self(0-10) 1. A/B testing 2. site analytics 3. 4. Linked In ID : 2 Professional References: Name Phn No Official Mail ID : Project Worked Name Phn No Official Mail ID : Project Worked Position : Data Analyst Location is Redmond, WA Duration : Long Term Please share local profiles for this role. Data Analyst : The role will include the following responsibilities : - A&O Revenue and P&L Reporting, Forecast Reports etc. - Rhythm of Business process support thru reports (monthly close, quarterly business reviews and mid-year review). Create new reports if needed. Mostly, maintenance of existing reports with VB code embedded in few of the reports. - Field and Corporate Inquiry / Issue management with Reporting The individual should possess the following competencies at a minimum - Moderate VBA skills would be a plus point. - Financial Analysis experience - Self-starting team player with an optimistic outlook and positive attitude - Deep expertise of Excel reporting & analysis (to include Pivot Tables, PowerPivot, Power View and reports based on OLAP queries, Data Validation, Lookups, Nested ifs, macros, Conditional Formatting etc.) - Deep expertise of Productivity Software & Services (Outlook, PowerPoint, SharePoint, SharePoint Online Lync, O365) - Understanding or awareness of SQL Server remote management/access and data cubes -- Thanks/Regards Ruchie Agarwal Desk: ************ Extn. 299 Cell : ************ Skype : ruchi.droisys Address: 4800 Patrick Henry Dr., Santa Clara, CA 95054 [email protected] | *************** | Join Droisys Group Help promote Green Business practices by not printing this email. Seven-Time Inc. 5000 Honoree 2008, 2009, 2010, 2011, 2012, 2013, 2014 OUR MISSION: Droisys is an internationally recognized leader helping mankind advance and businesses grow through cost effective technology. Our focus is on creating secure applications to simplify people's lives so they become raving fans. Additional Information All your information will be kept confidential according to EEO guidelines.

As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply! Primary Responsibilities Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes Organize and maintain a Metrics & Reporting Inventory Manage successful Metrics & Reporting Delivery Perform ad-hoc Analysis that contributes to strategy and decision making Aid team supporting Automation maturity efforts Assist with researching Security platform systems and processes Maintain up-to-date knowledge on policies and procedures Work individually and with your team to meet and exceed established goals Schedule and facilitate meetings as needed Job Requirements a bachelors degree or equivalent transferable experience through coursework or work experience in lieu of participation in the Elevate Program Experience with programming languages such as Python, R Studio, SQL Familiarity in working with structured and unstructured data sources Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely Highly motivated with strong organizational, analytical, decision making, and problem-solving skills Ability to build strong partnerships and to work collaboratively with all business and technical areas.

Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $35 - $40 /hr DOE & location This is a non-traditional Human Data Research Analyst role working with an exciting AI start-up. In this role your responsibilities will involve utilizing your expertise in AI to contribute to the development of optimized AI solutions. Responsibilities: * Representing various clients' software to provide enhanced AI solutions to boost their business productivity. * Create Use case scenarios derived from client solutions utilizing tailored AI solutions. * Execute delivering your thoughts on the opportunities for improvement. * Maintain and improve processes that support the creation of the Use Cases. * Attend meetings as appropriate. * Independently identify operational inefficiencies and work to mitigate them. * Assist with other duties as needed. Keywords provides a competitive compensation package, good benefits and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our "can do" attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians. Benefits At KeyWords we provide all our contingent workforce with: * Paid Time Off (including sick days and holidays) * 401k (3% matching) * Medical, Dental and Vision benefits By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at ************************************************************ Experience & Requirements * Cognitive Science, Computer Science or other Masters degree associated with AI * Technical aptitude or experience working with AI * Experience with Python, SQL, typescript (preferred) * Data modeling (preferred) * Experience working with and creating Data Visualizations * Strong attention to detail * Strong Organization skills * Critical thinking and problem-solving skills * Strong Analytical skills * Process Improvement experience * Strong aptitude of working with Google sheets, Zoom, and Slack * Exemplify the quality of having a "Proactive Approach," attitude which includes a high level of accountability, transparency, and teamwork first & foremost * Ability to learn on the job Location: Seattle Washington United States Area of Work: Research

Are you currently enrolled in a postsecondary education program (an education or training program after completing a diploma or GED)? Are you eager to make a meaningful impact in communities across the nation and gain practical experience at the same time? Join Strada Education Foundation's summer internship program and be part of a national philanthropic organization focused on better connecting education after high school to meaningful employment and economic opportunity in the U.S. Clear Outcomes and Data Science Intern:This internship offers a unique opportunity to gain high-impact experience and exposure across critical areas that advance Strada's mission. As a Clear Outcomes/Data Science Intern, you will contribute to building and enhancing systems that align postsecondary education with employment outcomes. This role provides an exciting opportunity to work at the intersection of data analysis, education policy, labor markets, and workforce development. You will support projects focused on improving state data collection, integration, and visualization to inform decision-making processes. By leveraging tools such as Looker, Tableau, or similar platforms, you will also explore and analyze education-to-employment data to uncover insights that drive innovation and scalability. This internship is ideal for someone with a foundation in data science and analytics who seeks to learn how data can inform policies and strategies aimed at bridging the gap between education and workforce development. This is a great opportunity to build on existing experience in exploring and analyzing data and it will allow you to deepen your understanding of how data ecosystems can shape meaningful change in education and employment alignment. About StradaStrada Education Foundation is a national nonprofit social impact organization that supports programs, policies, and organizations that strengthen connections between education and employment in the U.S., with a special focus on helping those who have faced the greatest challenges securing economic opportunity through postsecondary education or training (PSET). Our strategic plan focuses on five focus areas: clear outcomes, quality coaching, affordable PSET, work-based learning, and employer alignment. Strada works with partners in education and training, nonprofit organizations, industry, startups, and public policy. We leverage strategic philanthropy, investments, research, communications, advocacy, and collaborating organizations as tools to help advance equitable pathways to opportunity. Strada aspires to be a nonprofit partner of choice working with education and training providers and leaders, policymakers, and peer organizations. Strada offers a dynamic, collaborative, and inspiring professional environment that provides learning and professional development opportunities, both within the organization and with external partners. Internship Overview:Duration: May 19, 2026 - August 14, 2026Hours: Minimum of 30 hours per week (seasonal employee) Pay: $22.75/hour undergrad; $25/hour grad Location: (Hybrid) Washington, DC (in-office on Tuesdays + department-specific day and other days as needed for special events) Travel: Up to 15% for Professional Development The Strada summer internship program offers a paid, 13-week, hands-on learning experience for students who are at least one year post-high school. This opportunity is ideal for those seeking to gain experience in social impact while engaging in meaningful functional work. As part of this cohort-based program, interns will gain exposure to nonprofit operations, engage with leadership, and build a network that spans both nonprofit and for-profit sectors. Interns will work on impactful projects, participate in skill-building activities, and attend professional development events such as speaker series and informational interviews. The internship program will run from May 19, 2026, to August 14, 2026, and interns must be based in the Washington D.C. area and available for the entire duration of the internship. Interns will work out of the office at least two days per week (Tuesdays and one other department-specific day). There will be times when additional days may be required for professional development workshops and special guests. There may also be an opportunity to travel to conferences and workshops throughout the program. What You'll Gain: Exposure to Nonprofit, Postsecondary Education, and Workforce Development Sectors: Participate in leadership speaker series, lunch-and-learns, and industry interviews. High-Impact Work Experiences: Gain functional skills through rotational work and real-world projects with colleagues across diverse teams. Coaching, Mentorship, and Professional Networking: Receive quality mentorship and coaching from supervisors and executives. Build your professional network through community events and leadership exposure. Qualifications: At least one year out of high school and currently enrolled in or accepted into a postsecondary education or training program (college, apprenticeship, boot camp, etc.). Demonstrated ability to learn quickly and contribute in a collaborative environment. Strong communication skills, both written and verbal. Excellent attention to detail, time management, and problem-solving abilities. Proficiency with Google Suite and Microsoft Office; familiarity with Zoom and Slack is a plus. Self-motivated, able to work independently while being open to feedback. Passionate about promoting equitable opportunities in education and employment. Positive attitude with a strong willingness to collaborate, contribute, and enhance the experience of the entire internship cohort. To apply for the Strada Education Foundation Summer Internship Program, please: Attach Your Resume Submit a Cover Letter detailing your interest in the internship. Submit a Loom Video (instructions below) Next Steps: Your Application SubmissionWe believe in a hands-on approach, and your application process starts with getting to know the team and the task at hand! Watch the Introduction: Get a personal introduction and overview of the role's vision from the Hiring Manager in this short video: Introduction Video Review the Instructions: Follow the step-by-step guidance provided via Loom to complete the required application task: Link to Loom Instructions We are excited to review your materials and potentially welcome you to the team!

The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. **Summary** The Operations Intern program for the Simplot Food Group Manufacturing organization is an integrated opportunity, giving you a broad understanding of the Manufacturing process. You will learn about multiple processes involved to produce quality potato or vegetable products. This could include Quality Assurance, Maintenance, Sanitation, Safety, Production and/or Continuous Improvement. The position is a full time, summer-long Internship running approximately from May through August, with a potential to extend to October. **Key Responsibilities** + Assists in data analysis of projects + Assists as needed on the production floor to gather data and review/explain + Complete specific job duties and projects while working with many different people and positions to gain understanding of various jobs in potato/vegetable processing + Great exposure to the Manufacturing process of producing potato and vegetable products + Other duties as assigned to support the operations and continuous improvement teams at the Plant **Typical Education** Must be currently enrolled in a college/university with a strong academic record (minimum 3.0 GPA) **Relevant Experience** + Strong interest in food product development + Self motivated + Critical thinking skills + Can work with minimal supervision + Good written and verbal communication skills + Computer proficient **Required Certifications** Valid Driver's license **Other Information** + Able and willing to work in both hot and cold environments + Duration: May through August with potential to run through October + Typical schedule is Monday - Friday, day shift, 40 hours per week with a possibility of moving to another shift as needed per project + Relocation assistance is available + Junior/Senior preferred, but not required **Job Requisition ID** : 23673 **Travel Required** : None **Location(s)** : GF Plant - Pasco **Country:** United States ****The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ****

CSS Farms, a multi-state agricultural business, strives to provide innovative solutions and superior quality and service to our customers. We proudly and relentlessly continue to meet the highest standards of stewardship when it comes to the three things we value most: our land, our employees, and our communities. We are a team-oriented company with a high trust, entrepreneurial culture. We value our employees' opinions, we have a strong work ethic, and are focused on growing great vegetables and developing our operations profitably. People who are most successful at CSS Farms are energetic, self-directed, and pragmatic. Summary The Equipment & Operations Intern works closely with the CSS Farms Equipment Management Team to support and learn hands-on skills related to farm operations. As the Equipment & Operations Intern, you will gain exposure to all facets of our chip potato operation through field work, research projects, and educational opportunities. Responsibilities In this role, you will: Support the site Equipment Manager with maintenance, repair, calibration, and operation of field equipment Assist with fabrication, modification, and solving technical problems on equipment Participate in equipment sourcing and purchasing Provide support for equipment related inventory Assist with planting, harvesting, and irrigation management as necessary Give and receive real-time performance feedback to further your growth and leadership development. Take on other tasks and responsibilities, as needed. Physical Demands Walking and working outdoors in the elements. Driving between farm sites to move samples and other supplies. Regularly lifting objects of up to 40-50 lbs. Expected Hours of Work Mid-May through Mid-August (Start and End Dates are Flexible based on Candidate's schedule) Typical, daily farm hours are 7 AM to 5 PM, Monday through Friday, with occasional hours outside this window during peak times (Planting/Harvest). Required Qualifications Are pursuing an Associates or Bachelor's degree in agricultural engineering, agribusiness, crop science, mechanized systems management, equipment maintenance, or a related field. A valid driver's license or the ability to obtain one and pass vehicle insurance verification. Desired Qualifications Ability to understand and operate computerized equipment Are generally tech savvy and can use basic software systems such Excel, Word. Possess excellent organizational and project management skills. Are an excellent communicator; asking for and valuing positive and constructive feedback in an effort to grow within your role and career. Work Authorization In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Benefits Receive a competitive pay package Paid Holidays Use of a company vehicle, when applicable Reimbursements for eligible travel expenses Participate in real-world farming equipment and maintenance management from a leading, US potato company. Make valuable contacts within the industry who can assist you with your career development, now and in the future. Gain an understanding of the entire business, including operations, employee management, and logistics by spending time with Farm, Equipment, and Operations Managers. AAP/EEO Statement CSS Farms is an EOE. CSS Farms expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

The Senior Data and Research Analyst will support OSS with assessment, research, and strategy development activities in contribution to Portland State's strategic goal to elevate student success. Student success is the institution's top priority, and this role will be critical in elevating and expanding our nationally renowned success innovations. The Senior Data and Research Analyst will be responsible for extracting, analyzing, and reporting data from institutional and external databases to help report student success outcomes, such as retention and degree completion rates. This may include conducting modeling, analysis, and interpretation of information, as well as employing data mining or analytics to support decision making related to a wide range of student success projects and questions. This work will primarily involve collecting, analyzing, visualizing, and reporting quantitative data but may also include reporting and analyzing qualitative data. The Analyst will present and report findings to the Office of Student Success and the broader PSU community regularly, assist in developing assessment plans for student success projects, and analyze project outcomes. One of the analyst's primary responsibilities will be developing and maintaining Tableau dashboards used by both faculty and staff from various units across campus to explore and track key performance indicators and student success metrics. This position specifically supports initiatives funded by the Association of Public and Land Grant Universities' Transformational Change Collaborative grant.

The Category Analyst (CA) is a foundational role that completes a wide variety of important analytical assignments for the Category Management (CM) and Sales teams. The CA demonstrates strong technical skills, the ability to interpret data, draw conclusions, develop insights and presentations, execute space management projects and interact with retailers. The CA is a willing learner, quick study, and premier executioner of software packages and processes to cement Constellation's reputation as a dependable provider of CM solutions. Responsibilities Manages or Assists in Space Management Projects Gather and combine complementary data from multiple sources. Manipulate, cleanse, analyze, and validate data. Interpret data, draw conclusions, and develop insights and presentations. Conducts space planning, drawing and validation of sets projects. Follow store clustering, customer segmentation, store data standards, and merchandising guidelines. Updates, manages, and refines scorecards and reports to measure results. Coordinate with IT and technical teams to ensure efficient use of technology. Engage with Category Leadership team, Sales, and retailer partners to plan, meet expectations and ensure successful completion of assortment and space planning projects. Present recommendations for space allocation/optimization and assortment planning. Provide input to development of consistent assortment and planogram standards across retailers and trade channels, ensure adherence to standards. Support space and assortment opportunities aligned with the strategic direction of Category Leadership activities. Train to become an expert user of space planning and assortment software, processes, and solutions. Performs or Assists general analysis for assigned customer(s) or projects Supports the CLM with the development of category insights, solutions, and presentations, including but not limited to new item introductions, package expansion/reduction, assortment analysis (pre/post), promotion effectiveness, seasonality, and post-promotion analysis. Prepares CM analysis and creates presentation slides for various meetings. Attend and participate in business planning meetings as necessary. Populates scorecards. Generates reports. Seeks clarification or understanding as necessary. Minimum Qualifications 2+ years of analytical experience (may include an internship) that was focused on food and beverage retailing or merchandising, or sales experience from any industry. Ability to build strong relationships, initiate action and adjust to change are key attributes of this role. Proficient in the use of all category management software, concepts, analytical techniques; have an understanding of syndicated data. Strong PC proficiency, including extremely strong PowerPoint and Excel skills. Strong communication skills and ability to influence at all levels of the organization Bachelor's degree is required. Ability to travel by plane approximately 20%. Physical Requirements/Work Environment Must be able to stand, walk, sit; use hands to finger, handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch or crawl; talk and hear. Must have close vision, distant vision, ability to adjust focus, peripheral and color vision. Must be able to work in an office environment primarily but periodically required to work in a warehouse environment with variable temperatures and lighting. Should be able to lift 40 lbs. on occasion. Location Bentonville, Arkansas Additional Locations Job Type Full time Job Area Sales Support The salary range for this role is: $73,100.00 - $109,600.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Our compensation is based on cost of labor. For remote locations or positions open to multiple locations, the pay range may reflect several US geographic markets, including the lowest geographic market minimum to the highest geographic market maximum. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Constellation Brands, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

Job DescriptionThe AEC Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the AEC program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407ob6b

Mercor is recruiting **Market Research Analysts and Marketing Specialists who work in Professional, Scientific, and Technical Services Sector** as independent contractors working on a research project **for one of the world's top AI companies. ** This project involves using your professional experience to design questions related to your occupation as a Market Research Analyst and Marketing Specialist. Applicants must: - Have **4+ years full-time work experience** as a Market Research Analyst and Marketing Specialist; and - **Be based in the US, UK, or Canada** Here are more details about the role: - We aim to make **the hourly compensation rate offered to you competitive based on your professional background and geographic location** (please note that the listed hourly compensation scale is for U. S. -based applicants and that that scale will differ depending on where a candidate is geographically based) - The work is **fully asynchronous** and can be done around your schedule - This project requires that you be able to commit a **minimum of 15 hours per week** - The work **will last for approximately 3-4 weeks after you begin the project** - Please note you will need access to a desktop or laptop computer for this project and that we **cannot accept applicants who use chromebook computers** With respect to pay and legal status: - **We can meet industry-standard compensation expectations for your current role** - We will pay you out weekly via Stripe Connect based on the number of project work hours that you log - You will be classified as an “at-will” contractor to Mercor - Please note that we **cannot currently support H1-B or STEM OPT status candidates**

TikTok Global E-commerce Data Science team leverages rigorous data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide. The team conducts exploratory analyses and forward-looking insights to identify market trends and user/merchant/creator behavioral patterns, uncovering opportunities for optimization. We design and interpret A/B tests, apply causal inference methodology to support product iterations for both to C and to B products. We also build foundational data infrastructure and develop dashboards to empower product, operations, engineering, and cross-functional teams to monitor performance and identify areas for improvement. At TikTok, we champion a data science philosophy rooted in statistical rigor, data-driven decision-making, and scalable methodologies to support global e-commerce expansion. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Conduct data analysis for TikTok's global e-commerce products, covering areas such as creators & merchants, content e-commerce, promotion tools, shoptap, and transaction flow; * Design and analyze A/B tests, evaluate product optimizations, analyze campaign performance, monitor key metric fluctuations, and assess client-side version updates; * Analyze country-specific factors influencing product optimization and business growth, and propose actionable product improvement solutions aligned with business direction; * Collaborate closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact; * Build and maintain e-commerce product metric systems, work with data engineering teams to construct foundational data pipelines and visual dashboards, and enable business stakeholders to gain actionable insights.Minimum Qualifications: * Currently pursuing an Undergraduate/Master in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Proficient in data analysis tools and languages such as SQL, Python, or R; * Solid foundation in statistics, with hands-on experience in A/B testing, regression analysis, and causal inference; * Strong data visualization skills and ability to clearly communicate analytical insights through dashboards and reports; * Results-driven, highly self-motivated, and accountable; excellent team player with strong organizational and communication skills. * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Currently pursuing an Advanced Degree (MS) in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Experience in cross-border or international e-commerce data analysis or modeling; * Familiarity with machine learning frameworks or predictive modeling; hands-on experience with tools such as Scikit-learn, TensorFlow, or PyTorch; * Experience working with big data technologies such as Hive, Spark, or Hadoop; * Strong cross-functional communication skills. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do * Create data labels for email fraud scenarios using a data labelling platform * Analyze the quality and performance of the data labels and the AI models * Provide feedback and suggestions for improving the data labelling process * Collaborate with the data science team and other stakeholders on data labelling projects * Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.