Data science internship jobs in West Richland, WA

Develop tools, metric measurement and assessment methods for performance management and predictive modeling. Develop dashboards for product management and executives to drive faster and better decision making Create accountability models for DPG-wide quality, I&W, inventory, product management KPI's and business operations. Improve DPG-wide quality, install and warranty, and inventory performance consistently from awareness, prioritization, and action through the availability of common data. Collaborate with quality, install, and warranty, and inventory program managers to analyze trends and patterns in data that drive required improvement in key performance indicators (KPIs) Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network. Improve data utilization via AI and automation leading to real time resolution and speeding systemic action. Lead and/or advise on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies. Bachelor's degree with 8+ years of experience; or master's degree with 5+ years' experience; or equivalent experience. Basic understand of AI and machine learning and ability to work with Data Scientist to use AI to solve complex challenging problems leading to efficiency and effectiveness improvements. Ability to define problem statements and objectives, development of analysis solution approach, execution of analysis. Basic knowledge of Lean Six Sigma processes, statistics, or quality systems experience. Ability to work on multiple problems simultaneously. Ability to present conclusions and recommendations to executive audiences. Ownership mindset to drive solutions and positive outcomes. Excellent communication and presentation skills with the ability to present to audiences at multiple levels in the Company. Willingness to adapt best practices via benchmarking. Experience in Semiconductor fabrication, Semiconductor Equipment Operations, or related industries is a plus. Demonstrated ability to change process and methodologies for capturing and interpreting data. Demonstrated success in using structured problem-solving methodologies and quality tools to solve complex problems. Knowledge of programming environments such as Python, R, Matlab, SQL or equivalent. Experience in structured problem-solving methodologies such as PDCA, DMAIC, 8D and quality tools. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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!

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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 Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. 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 Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology 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.

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. 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

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

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.

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 National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Responsibilities PNNL is seeking a Chief Data Scientist with deep expertise in data science and mission-specific knowledge in the geospatial intelligence (GEOINT) domain. The selected candidate will lead large, multi-year research and development programs within the AI and Data Analytics Division, which includes over 400 staff specializing in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing. As a nationally recognized leader in data science, the Chief Data Scientist will set strategic vision, direct complex research programs, and operationalize data-driven solutions to address critical national security challenges. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting-edge research into field-ready capabilities. In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL's research agenda with evolving mission requirements. The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation. The successful candidate will work with talented multi-disciplinary teams on a variety of the nation's most complex science and engineering problems, delivering advanced AI solutions into critical sponsor missions. At PNNL, we foster a collaborative, adventurous environment focused on lifelong learning and creative problem-solving, while striving for leadership in interdisciplinary, data-driven innovation. Key Responsibilities: * Strategic Leadership: Define and execute a strategic vision for large, multi-year GEOINT data science programs, advancing geospatial analytics and operational AI capabilities. * Team Leadership: Lead and mentor diverse teams of data scientists and software engineers by guiding analytic methodologies, research approaches, and project implementation. This includes developing advance machine learning (ML) models, designing end-to-end workflows, and performing model testing and validation. * Operational Integration: Collaborate with software engineering teams to integrate analytic capabilities into scalable, field-ready systems. * Program Oversight: Serve as principal investigator on highly visible programs, ensuring technical excellence, meeting research milestones, and fostering sponsor relationships. * Development of New Opportunities: Identify and lead proposal efforts to shape future investments in GEOINT analytics and AI research. * Technical Representation: Represent PNNL leadership in GEOINT research via publishing, presenting in high-impact venues, and participating in national technical exchanges. * Collaboration: Establish and foster partnerships across PNNL, other DOE national laboratories, academia, and industry to accelerate innovation and deliver mission-aligned solutions. * Sponsor Engagement: Engage directly with government sponsors, ensuring research outcomes meet operational objectives and requirements. * Mentorship: Mentor and develop future technical leaders, helping to build a world-class GEOINT data science workforce. Mission-Specific Responsibilities: * Sponsor Engagement: Serve as the primary interface with sponsors and develop a deep understanding of their mission priorities. * Operational Awareness: Gain insight into sponsors' operational environments and technical requirements to enable effective deployment of new capabilities. * Strategy Development: Support the ideation and execution of strategic initiatives by identifying key stakeholders and outlining actionable plans. * Role of PNNL: Effectively communicate and leverage PNNL's role in the larger mission landscape, addressing technical solutions, relevant use cases, and critical challenges. This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. Qualifications Minimum Qualifications: * BS/BA and 9+ years of relevant work experience -OR- * MS/MA and 7+ years of relevant work experience -OR- * PhD with 5+ year of relevant experience Preferred Qualifications: * Advanced degree in computing, engineering, geospatial sciences, or related discipline. * Nationally recognized expertise in GEOINT, geospatial analytics, or operational AI. * Advanced ML Model Development: Experience designing, implementing, and training state-of-the-art object detection and image classification models (including foundation models) for overhead imagery, with expertise in synthetic data generation, data augmentation, knowledge distillation, and continuous learning approaches. Expertise in multi-modal data fusion is highly desired. * End-to-End Workflow Design: Proven ability to develop and deploy complete machine learning pipelines that rapidly process and exploit large-scale overhead imagery datasets, including experience with the full image processing chain and handling large structured/unstructured datasets. * Model Testing & Validation: Experience with comprehensive test and evaluation (T&E) and verification and validation (V&V) methodologies for ML models, including defining testing protocols and iteratively refining models based on performance feedback. * Overhead Intelligence Domain Knowledge: Familiarity with overhead collection platforms and their technical characteristics as they relate to imagery analysis and processing workflows. * Strong record of securing external funding, managing research portfolios, and initiating new R&D programs. * Demonstrated ability to collaborate effectively with software engineering teams to deliver operational solutions. * Experience working effectively with funding sponsors such as DOE, NNSA, DoD, or DHS, with the ability to influence strategic investments. * Exceptional communication and leadership skills, with the ability to represent PNNL at national and international levels in government, industry, and academia. * Active security clearance (or the ability to obtain and maintain one). 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. "Referral Eligible" 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 $188,400.00/Yr. Maximum Salary USD $318,000.00/Yr.

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 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.

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.

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.