Data science internship jobs in Portland, OR

Full-time Description Better Careers Start Here! Join a company that fosters career growth through formal job training and strategic leadership development programs. The amazing career opportunities at Hunter Communications are fueled by our rapidly expanding, state-of-the-art fiber internet and world-class customer service. At Hunter Communications, all employees are provided a benefit package including medical, dental, vision, disability coverage, life insurance, and an employee assistance program. We offer very generous vacation, sick, and holiday time off, a 401k program with a generous employer match, and numerous bonus opportunities. Total Rewards at Hunter Communications At Hunter Communications, we believe in taking care of our team-both on and off the clock. Our comprehensive benefits package, listed below, is designed to support your health, financial future, and work-life balance from day one. Employer-contribution to Medical, Dental, and Vision Premiums for employees and their families Paid Time Off that Works for You: 2 weeks of vacation time 1 week of sick time 9 paid holidays annually 401(k) Retirement Plan with a generous company match Bonus opportunities based on individual and company performance Disability Insurance (short- and long-term) and Life Insurance fully covered by the company Employee Assistance Program (EAP) for confidential support and resources Career development opportunities, on-the-job training, and pathways for advancement We're proud to offer benefits that reflect how much we value our team. Join us and be part of something better. Position Overview The Data Analyst serves as the primary resource for operational reporting and data validation across the organization. This role is responsible for documenting existing data assets, verifying the accuracy of department-level data marts, and supporting the rollout of enterprise-wide reporting through Power BI and Snowflake. The analyst will partner closely with the VP of Software Development to survey the current landscape, establish trust in key data sources, and develop weekly operational scorecards for executive leadership. This role is critical for improving data reliability, enabling cross-functional insights, and building the foundation for future data governance practices. Key Result Areas Data Discovery and Validation: Survey and document the current data environment to establish trust and consistency Conduct discovery sessions with departments to identify existing data sources, marts, and reporting processes Document and map data flows across systems, highlighting gaps, inconsistencies, and duplications Validate existing metrics and KPIs in department-owned dashboards to identify discrepancies and resolve conflicts Prioritize validation efforts based on leadership guidance, business needs, and operational risk Establish and maintain a baseline of trusted, verified data assets to support future reporting and governance. Operational Reporting and Scorecards: Build and maintain business-facing dashboards that support performance visibility and accountability Develop and iterate on weekly operational scorecards aligned to executive priorities and departmental KPIs Partner with stakeholders to clarify measurement needs and ensure consistent definitions across teams Maintain Power BI dashboards to reflect accurate, up-to-date data with minimal manual intervention Identify and implement small-scale automation or monitoring practices to ensure reliability of reported metrics Support continuous improvement by incorporating user feedback and adjusting dashboards accordingly. Cross-Functional Partnership and Enablement: Collaborate with business and technical teams to improve data literacy and decision-making capabilities Serve as a liaison between technical systems (e.g., Snowflake) and business users, translating data into insight Provide ad hoc analysis and investigative support to surface trends, anomalies, and operational opportunities Guide departments in refining KPIs and aligning reporting to strategic objectives Share learnings and advocate for repeatable reporting standards across teams Contribute to the foundation of lightweight data governance by modeling good practices and supporting documentation. Requirements Telecom experience is required Snowflake/PowerBI experience is required 4+ years of experience in data analysis, business intelligence, or a related field Related education/certifications may substitute for a portion of the experience Strong SQL skills and experience working with structured datasets Familiarity with modern BI tools such as Power BI or Tableau Ability to audit and validate data marts or dashboards for accuracy and consistency Comfort working in a fast-paced environment with evolving business priorities Excellent communication skills and ability to work across both technical and business teams Preferred Experience Languages: SQL, Python Visualization: Power BI Process: Agile teams, KPI development, and operational reporting Industries: Telecom or other data-rich operational environments Skills Strong analytical skills to identify discrepancies in datasets and validate metrics across systems Ability to distill complex data structures into clear, actionable insights for non-technical stakeholders Proficiency in building clean, maintainable queries and dashboards that support operational decision-making Experience prioritizing and validating data sources to establish a trusted foundation for reporting Strong collaboration skills to align data efforts with evolving business needs across departments Familiarity with automation, monitoring, and lightweight data governance to improve data reliability over time Physical Requirements Occasionally move or lift office items Must be able to work in an office environment Must be able to communicate in an effective manner to perform job duties Vision must be good or corrected in order to perform essential job duties Hearing must be good or corrected in order to have the ability to understand information to perform essential job duties Ability to read and write in English in order to process paperwork and follow up on any actions necessary Constantly operate a computer and other office productivity machinery, such as calculators, copy machines, computers, and office equipment. Salary Description $100,000 - $125,000 Salary

**This FTE conversion requisition is ONLY for 2025 Oracle PD interns to be rehired for full-time roles** Intended for students graduating with their Masters/PhD degree by, or have graduated within, 12 months of cohort start date in June/July 2026. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures. Objective Minimum Qualifications: To be considered for a Data Scientist position, the Objective Minimum Qualifications (OMQs) below must be met. Please ensure the application clearly indicates that you meet these OMQs. + Have graduated with a Graduate degree in Computer Science, Engineering Management, Information Systems Management, Business Analytics, (or an equivalent science/engineering field) within 12 months of actual start date, no later than August 2026. + Are proficient (e.g., can complete coding projects without any assistance) in at least one of the following programming languages: Java, C, C++, Python, SQL, JavaScript, R, PHP, Swift, Go, C#, Matlab, Julia, Kotlin + Have academic course work, projects, internships, and/or research experience in one or more of the following Computer Science areas: + Artificial Intelligence / Machine Learning / Natural Language Processing + Big Data / Data Structures / Algorithms + Cloud Computing + Computer Systems / Distributed Systems /Embedded Systems / Operating Systems + Database Systems/Design + Object Oriented Design + Web/Mobile Development + User Interface Design + Attend a university in the US. + Authorized to work in the US in 2026. Preferred Qualifications: + Minimum 3.0 GPA **Responsibilities** Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $69,000 to $158,200 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC2 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Not open for C2C or 3rd party vendors. FlexIT client is looking for an immediate Data Analyst- SQLfor a 12 month remote contract. Top Skills:Strong SQL for analytics, Source to target mapping, Database Analysis, IT project management Email resumes:*********************

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a long term contract opportunity in Hillsboro, OR. Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts to collect and define business requirements and collaborating with Sales & Marketing IT to automate and standardize manual processes are core responsibilities of this role. This position requires an ability to deliver ad-hoc style reporting solutions in a fast paced environment. Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from multiple sources to deliver Proof-Of-Concept style reports - Experience executing reports in BI software such as MSFT BI and SAP BW - Advanced knowledge and experience with Microsoft Excel (vlookups, pivot tables, etc) - Candidate must demonstrate professionalism and possess excellent planning, organization, problem solving, attention to detail and communication skills to achieve results - Ability to effectively gather, understand and articulate business requirements Data Analyst Nice to Have Skills - Experience with Tableau dashboard design and dataset prep - Understanding of Sales & Marketing, Lead Generation & Customer Relationship Management highly preferred - 3+ years Project Management experience - 2+ years experience with Web Analytics tools such as Adobe Omniture, Web Trends and Google Analytics - Experience developing BI Reports & Dashboards - Experience with Marketing Automation platforms such as Marketo, Eloqua, Pardot, etc. - Excellent presentation skills - An understanding of Data Modeling concepts Data Analyst Start Date ASAP Data Analyst Assignment Length 12 months plus Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Qualifications Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Additional Information PLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.

Job DescriptionWe are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Identify valuable data sources and automate collection processes Undertake to preprocess of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine learning and operations research Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or other quantitative field is preferred

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks. As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team. Onchain is the new online. Join us in building a secure future for the next billion users. *What you'll be doing (ie. job duties):* * Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns. * Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture. * Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting. * Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices. * Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments. * Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed. * Handle highly sensitive cases with respective urgency and discretion; * Other duties and responsibilities as required or assigned. *What We Look For In You (i.e., Job Requirements)* * A well-organized self-starter who is able to constantly learn and work autonomously; * Ability to handle highly sensitive information; * Excellent writing, analytical and communication prowess; * Deep knowledge of blockchain ecosystems and; * Investigative mindset; * Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors; * Knowledge to leverage AI to 10x output. *Nice to haves:* * Previous experience in corporate OSINT analysis * Experience with Dune Analytics, Flipside, and/or Chainbase. Position ID: P70663 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $144,500-$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

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.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

FlexIT client has an immediate need for a Curation Data Analystfor a 12 months contract in Portland, Oregon. Project description Deep technical data analysis with an understanding of integration links and natural data keys.

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a contract opportunity in Hillsboro, OR. Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Data Analyst Mandatory Skills Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Data Analyst Start Date ASAP Data Analyst Assignment Length 6 Months "Please note that we are not able to work with candidates on H1B Visas or candidates represented by third parties." Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our Client, Procom Services is searching for a Data Analyst for a contract opportunity in Hillsboro, OR. Data Analyst Job Details Activities could include but is not limited to the following: • Analysis of data to find patterns, • Development of applications for data gathering and analysis, • Developing related business processes • Establishing performance indicators. • Writing procedures and documentation, • Reviewing and documenting business and functional requirements, • Participating in physical inventory audits • Software development, coding and scripting • Web design and Multimedia programmer • Quantitative research • Unstructured data analysis • Natural language processing • Equipment utilization analysis • Supply/Demand analysis • Inventory level optimization • Supply management and procurement • Measuring and tracking efficiency indicators Data Analyst Mandatory Skills • Experience analyzing large data sets, structuring data based on patterns, commonalities, etc..., and be able to summarize that data for decision making. • Experience working on cross functional teams Experience with the following: • Information science • Signal processing • Data mining • Data warehousing • Performance computing • Big Data • Data extraction and visualization • Business process analysis: process and workflow efficiency • Six Sigma training or experience • Lean manufacturing techniques • Inventory scheduling systems • Developing SQL queries • JMP • Excel • MS Visio Data Analyst Start Date ASAP Data Analyst Assignment Length 7 months "Please note that we are not able to work with candidates on H1B Visas or candidates represented by third parties." Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.

Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Lead to the accomplishment of key goals across consumer and commercial analytics functions. Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language. Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.