Data science internship jobs in Yakima, WA

Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into 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 beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 Fall Start Dates: Monday, August 11 Monday, August 25 Monday, September 8 Monday, September 22 Applications will be reviewed on a rolling basis. We encourage you to apply early. 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. Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank. Responsibilities: * Develop scientific metrics to measure success of E-Commerce governance and experience team; * Develop the credit system for merchants and creators to incentivize good behavior; * Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design.Minimum Qualifications: * Currently pursuing a BS/MS degree in Computer Science, Statistics, Economy or other relevant majors with 2+ years of work experience. * Proficient in at least one software programming language, such as SQL/R/Python; * Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge. Preferred Qualifications: * Experiences in Hadoop/Spark/Storm and other computing platforms and tools. * Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

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!

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.

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.

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

**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.

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

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

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

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: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

**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.

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 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 ofdegree 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' campusdevelopment (***************************************** 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 -7cultural 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 acomprehensive 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 Read More at: ******************************************** OSU commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.

Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Applications will be reviewed on a rolling basis. We encourage you to apply early. 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. 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 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below: (Select below options for Summer) * Monday, May 12 * Monday, May 19 * Tuesday May 27 (Memorial Day May 27) * Monday, June 9 * Monday, June 23 (Select below options for Fall) * Monday, August 11 * Monday, August 25 * Monday, September 8 * Monday, September 22 Please state your availability clearly in your resume (Start date, End date). Applications will be reviewed on a rolling basis. We encourage you to apply early. 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. Candidates who pass resume evaluation will be invited to participate in ByteDance's technical online assessment through HackerRank. Responsibilities: * Develop scientific metrics to measure success of E-Commerce governance and experience team; * Develop the credit system for merchants and creators to incentivize good behavior; * Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design.Minimum Qualifications: * Currently pursuing a PhD in Computer Science, Statistics, Economy or other relevant majors with 2+ years of work experience. * Proficient in at least one software programming language, such as SQL/R/Python; * Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge. Preferred Qualifications: * Experiences in Hadoop/Spark/Storm and other computing platforms and tools. * Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

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.