Data science internship jobs in Hermiston, OR

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*. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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 a PhD 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. Preferred Qualifications: * Currently pursuing a PhD 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 ****************************

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Researching and proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews What we look for in a candidate: Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Strong problem-solving and time management skills Strong communication skills and capacity to report and disseminate results Passion for scientific and technical excellence Perks: Competitive pay Healthy snacks stipend Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

The R&D / Quality Food Science Intern will conduct projects of various sizes to increase nutpods' understanding of our product line and to identify new product opportunities. The intern will gain understanding of and exposure to emulsion stability, aseptic processing, and sensory analysis of coffee creamer products. The internship projects and duties will include Quality Assurance and intersect with Operations and Innovation to further our product knowledge. As a member of the R&D and Quality team, the person will work to maintain a clean, organized, and efficient R&D lab by following standards for lab use and product testing. Requirements 3.0 GPA or higher Enrolled at a 4-year accredited college or university as a sophomore, junior, senior or master's student, actively pursuing your education in Food Science or other related degrees (Food Engineering, Food Chemistry, etc.). Must have at least one semester of school left after internship completion or have acceptance into a graduate program. Currently possess unrestricted authorization to work in the United States. We do not intend to sponsor work visas with respect to this position. Ability to taste subtle flavor, aroma, and mouthfeel differences Ability to lift, move, and carry boxes and equipment up to 35lbs. PLEASE NOTE: Relocation, transportation, and housing will not be provided. Who We Are: nutpods manufactures plant based, dairy-free coffee creamers and adjacent products for coffee lovers nationwide. Now the #2 plant-based creamer brand nationwide across retail and online channels, nutpods has fostered a cult following and has exciting plans for growth in the coming years. With a small and mighty team of 35 people, nutpods is looking for eager, enthusiastic, and experienced candidates for this important role. Company Culture: Our culture is of huge importance to the owners and team at nutpods. We are looking for people who will be a great addition to our culture. We are: Kind: We treat each other with kindness and mutual respect. Dynamic: We are full of energy and defined by constant progress, collaboration, and new ideas. Relentless: We relentlessly pursue a crazy good product, business, and team. Empowered: We empower each other to fail forward with trust, transparency, and the opportunity to learn and grow. Passionate: We take immense pride in what we make, how we work together, the impact we have, and how we treat people. We strive to do what's right for our team, customers, and quality, even when no one is looking. Benefits Pay rate: $20-30 per hour Paid holidays Cell phone reimbursement nutpods is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.

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!

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas: Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to Model the Earth system from the subsurface to the atmosphere. The Biological Sciences Division has 17 collaborative, interdisciplinary biology-based teams to tackle major challenges in ecosystem sustainability, bioenergy, human health, and national security. Teams use unique field sites, advanced instrumentation, and integrated computational approaches to explore molecular-scale processes. Strategic efforts focus on advancing molecular measurement capabilities, uncovering the structure and function of molecular dark matter, identifying control points in complex systems, and developing domain-aware AI to accelerate discovery and hypothesis-driven research. Responsibilities We are seeking a Data Scientist 2 - Biostatistician with expertise in statistics who will join a talented, multi-investigator team to contribute to projects developing innovative solutions across the spectrum of 'omics technologies. The ideal applicant will have a skill set that includes a strong background in statistical theory, advanced statistical methodology including modeling, experimental design, multivariate statistics, and other advanced topics such as time series analysis, statistical learning, Bayesian modeling, image analysis, deep learning, and application of generative artificial intelligence. Experience in statistics applied to biology and/or mass spectrometry data (e.g. proteomics) and proficiency in data integration and harmonization of multiple large datasets are desired. The ideal applicant will have experience working in interdisciplinary teams, strong written and verbal communication skills, and a demonstrated ability to translate theoretical statistics to complex and novel data. Our dynamic, multidisciplinary environment will offer many opportunities to bring statistics and biology together for highly impactful science in national security, human health, environmental exposure, and chemical forensics fields. Applicants will help deliver projects to accelerate our team's goals of developing leading-edge 'omics analytics capabilities and applications for a variety of sponsors. Qualifications Minimum Qualifications: * BS/BA and 2 years of relevant experience -OR- * MS/MA -OR- * PhD Preferred Qualifications: * PhD in statistics, biostatistics, or related field * Strong verbal and written communications skills * Demonstrated ability to work with interdisciplinary teams in research * Deep understanding of theoretical statistics * Experience coding in R and package development in R * Experience coding in Python * Experience using HPCs and/or cloud computing resources Hazardous Working Conditions/Environment Not Applicable Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements: * U.S. Citizenship * Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. * Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at ****************. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. All benefits are dependent upon eligibility. Click Here For Rockstar Rewards Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $111,600.00/Yr. Maximum Salary USD $178,300.00/Yr.

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.

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.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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 . 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 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 ************************************************************ Role Information: EN Studio: Keywords Studios Location: Americas, United States Area of Work: Embedded Services Service: Globalize Employment Type: Full Time Working Pattern: Remote

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is open to candidates based near any EA office in Canada and the United States (listed above) Responsibilities: * Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels * Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend * Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization * Develop budget optimization tools to support strategic decision-making * Create forecasting models (ie: Prophet) to project game performance * Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: * Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2-5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation * Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design * Strong experience with Python/R and SQL * Comfort working in a Bayesian modeling framework * Ability to communicate technical results to non-technical stakeholders COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$100,000 - $139,500 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$117,000 - $179,600 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$108,900 - $145,200 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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.

Details Information Department Acad Prog / Student Aff (LCB) Classification Title Research Analyst 3 Job Title Park Research Analyst 3: Data Analyst-National Service / Inventory & Monitoring Appointment Type Classified Staff Job Location Bend Benefits Eligible Full-Time, benefits eligible Remote or Hybrid option? Yes Employment Category Regular Job Summary This recruitment will be used to fill one full-time Research Analyst 3 position for the Oregon State University Human and Ecosystem Resiliency and Sustainability (HERS) Lab, located in Bend, Oregon at the OSU-Cascades Campus.. The Oregon State University Human and Ecosystem Resilience and Sustainability (HERS) Lab is a research institution that delivers expertise in ecological assessment and monitoring, restoration, and native plant materials to support evidence-based conservation for the 21st century. The HERS Lab hosts the Upper Columbia Basin Inventory and Monitoring Network of the National Park Service (UCBN), East Cascades Native Plant Hub (ECNPH), Wildlife Connectivity Hub and the Northwestern Bat Hub on the OSU Cascades campus in Bend, OR. The Lab is hiring one Research Analyst 3 for a four-year (through 6/15/2029) full-time appointment, with a possibility for extension subject to availability of funds and/or project requirements. This position will be part of an analysis team that supports an existing project in collaboration with the National Park Service Inventory and Monitoring Division. The project entails working with staff representatives for NPS I&M and HERS Lab to design and implement a coordinated data analysis plan for pre-existing long-term monitoring datasets collected over the last 20 years for bats and other wildlife, forest, shrubland, rare plant, and wetland communities, freshwater and marine ecosystems, and wildfire and climate impacts on these and other natural resources in national parks. The Research Analyst 3 will use R and Python programming languages, GIS, and related tools to establish and conduct complex and reproducible analysis workflows, summarize information using maps, graphs, tables, and statistical tools, and report findings in technical reports, peer-reviewed manuscripts, and conference presentations. The Research Analyst 3 will work with a Research Associate and the broader analysis team to propose recommendations to NPS I&M for analysis interpretation and translation into management strategies, identify needs for and contribute to updates and revisions to existing data collection and analysis protocols associated with projects, and assist analysis team members in maintaining a dynamic program of quantitative ecological discovery applied to conservation decision-making in and around National Parks and protected areas. The Research Analyst 3 will report to the lab director/project PI and will work closely with the National Park Service and HERS Lab team members to prioritize and complete project tasks. Why OSU? Why OSU-Cascades? Founded in 2001, Oregon State University - Cascades brings higher education to Central Oregon while leveraging the excellence of a land grant and top-tier research university in one of the most dynamic cities in the Pacific Northwest. Located near downtown Bend and surrounded by mountains, forest and high desert, OSU-Cascades offers small classes that accelerate faculty-student mentoring and experiential learning in an innovative environment that accelerates opportunities for student, faculty and staff development and advancement. With a 128-acre campus under development and a goal to grow to 3,000 to 5,000 undergraduate and graduate students, OSU-Cascades is delivering on a 40-year grassroots community effort to bring the benefits of a comprehensive university to the region: Student Body and Alumni Student and alumni data is as of fall 2024. * 1,370 undergraduate and graduate students * 78% from Oregon * 42% Central Oregonians * 24% first generation students * 23% students of color * 19 students on average per class * 95% of 2023 graduates employed or in graduate school within 6 months of graduation * 5,625 degrees awarded since founding Academic Majors A growing portfolio of degree programs at OSU-Cascades is designed to meet regional and state industry workforce and economic needs. Research Research underway at OSU-Cascades focuses on challenges in energy, the environment, human wellness, social justice and society. Labs at OSU-Cascades include the FORCE biomechanics lab, the Laboratory for the American Conversation and the Sustainable Tourism Laboratory. Campus Development OSU-Cascades' campus development is driven by an award-winning long range development plan and engineering efforts that are transforming brownfields into a thriving university campus. Sustainability plans include net zero energy, waste and water goals. Initial sustainability efforts are seen in geothermal sourced energy to heat and cool buildings, and native plant landscaping requiring little or no irrigation. In addition to an academic core, campus plans includes a 24-acre innovation district, mid-market affordable housing, and 10-miles of walking/biking trails. Working for Oregon State University is so much more than a job! Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all. FACTS: * Top 1.4% university in the world * More research funding than all public universities in Oregon combined * 1 of 3 land, sea, space and sun grant universities in the U.S. * 2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties * 7 cultural resource centers that offer education, celebration and belonging for everyone * 100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates * 35k+ students including more than 2.3k international students and 10k students of color * 217k+ alumni worldwide * For more interesting facts about OSU visit: ***************************** Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport. Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances. Total Rewards Package: Oregon State University offers a comprehensive benefits package with benefits eligible positions that is designed to meet the needs of employees and their families including: * Medical, Dental, Vision and Basic Life. OSU pays 95% of premiums for you and your eligible dependents. * Free confidential mental health and emotional support services, and counseling resources. * Retirement savings paid by the university. * A generous paid leave package, including holidays, vacation and sick leave. * Tuition reduction benefits for you or your qualifying dependents at OSU or the additional six Oregon Public Universities. * Robust Work Life programs including Dual Career assistance resources, flexible work arrangements, a Family Resource Center, Affinity Groups and an Employee Assistance Program. * Optional lifestyle benefits such as pet, accident, and critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Oregon State University is deeply committed to the principles of a Health Promoting University. This commitment drives a collaborative approach across OSU's safety and well-being programs, reducing silos and coordinating efforts to enhance employee safety and well-being. By prioritizing resources that support the health of both employees and students, OSU fosters a culture of care and a healthier campus environment where everyone can thrive. Future and current OSU employees can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities This position is responsible for the day-to-day coordination and implementation of quantitative analyses and communication of findings for a portfolio of long-term monitoring projects in and around National Parks and protected areas. 70% Data analysis * Participates in NPS research study design and analysis teams. * Responsible for analysis of complex study designs and analysis. This will include the use of statistical randomization procedures such as the Generalized Random Tessellation Stratified (GRTS) design approach commonly used in contemporary ecological studies where robust inference and analytical flexibility is required. Analyses of long-term trends in populations and ecosystems where rotating panel designs and unequal-probability design weights need to be accounted for, as well as challenges including imperfect detection and missing data. Approaches required may include Bayesian methods with informative priors. * Interprets and draws conclusions from analyses that will be used to inform NPS and partner agency management decisions about restoration and conservation actions such as species habitat requirements and efficacy of actions such as herbicide applications. * Report findings in technical reports and peer-reviewed manuscripts; makes recommendations to the NPS I&M for interpretation and translation into management strategies. 20% Science communication and decision support * Responsible for refining existing and establishing new analytical and science communication techniques for use with NPS managers. 10% Teamwork, including effective participation in Lab strategic planning What We Require Two years of research experience independently gathering, compiling, and analyzing data using statistical methods (inferential, multivariate analysis, etc.); using statistical software packages to manipulate the data; and preparing narrative or statistical reports and college-level course in statistics (at least six quarter hours); OR An equivalent combination of training and experience. Transcripts must be submitted for all required and/or related courses. Please highlight the statistical courses.NOTE: Some agencies may require experience in using trends (such as social, economical, industrial, etc.). What You Will Need * At least two years of research experience applying research methods, procedures, and techniques in the natural resources management and conservation fields, and specifically related to protected area management; applying statistical and forecasting principles and procedures; planning and designing research projects and/or inventory and monitoring programs specifically tailored to protected area management; writing technical research reports and/or documents; and using statistical computer software packages. What We Would Like You to Have Demonstrated experience with the following: * Conducting and publishing basic and applied research related to conservation or natural resource science. * Conducting and interpreting statistical analyses of a wide range of ecosystem-related data. * At least three years of work experience with federal land or wildlife management agencies, including the US Fish and Wildlife Service, National Park Service, US Forest Service, or Bureau of Land Management. * Ability to tolerate ambiguity. * Ability to lead groups and to plan, organize, evaluate, manage, and delegate details. * An understanding of the basic philosophy of the Land Grant University system and of the major federal land management agencies (USFWS, USFS, NPS, BLM). * Experience using multiple forms of electronic communication. * Commitment to work with underrepresented and underserved audiences. * Life experience, education, and/or training that broaden capacity to equalize the success or impact on underserved audiences with special attention to diversity and inclusion. Working Conditions / Work Schedule This position will primarily occur in an office environment. Remote work is possible with approval from the PI, although office space and computing resources will be provided at the OSU-Cascades Campus. Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Min Salary $28.75 Max Salary $44.00 Link to Position Description ********************************************************* Posting Detail Information Posting Number P05484CT Number of Vacancies 1 Anticipated Appointment Begin Date 12/22/2025 Anticipated Appointment End Date Posting Date 12/05/2025 Full Consideration Date 12/16/2025 Closing Date 12/18/2025 Indicate how you intend to recruit for this search Competitive / External - open to ALL qualified applicants Special Instructions to Applicants To ensure full consideration, applications must be received by December 16, 2025. Applications will continue to be accepted after the full consideration date, until a sufficient applicant pool has been achieved or the position is filled. The closing date is subject to change without notice to applicants. Applications will be reviewed based on the information submitted on the employment profile with education and work history along with any other requested documentation i.e. posting specific question responses, transcripts, etc. Your profile MUST clearly show how you meet the minimum/required qualifications for the position. Resumes are NOT accepted at the application stage for this position. Equivalent required experience is based on full-time equivalent (40 hours per week). Transcripts must be submitted for all required and/or related courses. All courses must be from accredited colleges, universities, or private vocational schools. The online application system will allow you to attach your transcripts if the PDF file is 9MB or less. Transcripts must be received by the closing date. If you have trouble uploading your transcripts, reach out to the contact listed. PLEASE NOTE: If you have volunteer experience relevant to this position, please include in the Employment History section and note length of time, average number of hours per week and major duties. Typically, the starting salary is at the lower end of the salary range. For additional information please contact: Matt Shinderman ******************************** ************. We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status. OSU will conduct a review of the National Sex Offender Public website prior to hire. Supplemental Questions

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.

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

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 ****************************