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  • Predictive Data Analytics Intern - Summer 2026

    Lam Research 4.6company rating

    Data science internship job in Tualatin, OR

    Design and implement predictive maintenance models using sensor and flow data. Apply signal processing techniques for data filtering, feature extraction, and noise reduction. Develop and validate machine learning algorithms for anomaly detection and failure prediction. Collaborate with engineering teams to integrate predictive analytics into process control systems. Perform data visualization and reporting using Python, R, and relevant analytics tools. Ensure model accuracy through continuous monitoring and iterative improvement. Work with cross-functional teams to translate insights into actionable maintenance strategies. Field of Study: Current Masters or PhD students studying Data Science, Applied Statistics, or Mechanical Engineering with strong machine learning experience. Technical Skills: Signal Processing (sensor data filtering, feature extraction) Machine Learning / AI (predictive models, anomaly detection) Domain Knowledge (flow dynamics, thermofluid systems) Programming (Python, R for modeling and visualization) Strong analytical and problem-solving skills. Experience with industrial data sets and predictive maintenance applications is a plus. Familiarity with IoT sensor networks, time-series analysis, and cloud-based analytics platforms. Knowledge of reliability engineering principles and failure mode analysis. Hands-on experience with data pipelines and model deployment in production environments. Available to intern for 4-6 months starting Summer 2026.
    $95k-126k yearly est. 10d ago
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  • Advanced Degree Data Scientist - Full-time Intern Conversion

    Oracle 4.6company rating

    Data science internship job in Salem, OR

    **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.
    $69k-158.2k yearly 60d+ ago
  • Data Analyst - AD273

    Native American Rehabilitation Association of The Northwest, Inc. 4.1company rating

    Data science internship job in Portland, OR

    Title: Data Analyst , Monday - Friday, 8:00am - 4:30pm * This position is 100% in-person and based in Portland, Oregon. Candidates must be able to work on-site. If relocation is required, candidates must be able to relocate within the next 2 months. Wage Range: $70,000.00 - $80,000.00, Exempt, Salary If you are a motivated and dedicated Data Analyst looking for an opportunity to contribute to an organization making a positive impact, we want to hear from you! At NARA Northwest, you'll find a supportive work environment where every team member is valued and respected. Whether you're passionate about healthcare, behavioral health, education, or social services, there's a place for you to make a meaningful difference. Company Mission: The mission of NARA NW is to provide education, physical, mental health services, and substance abuse treatment that is culturally appropriate to American Indians, Alaska Natives, and anyone in need. About the Company: At NARA NW, we deliver services and support to Native American and Alaska Native communities, helping individuals lead healthier, more fulfilling lives. With over 450 employees across a variety of programs-including medical and dental care, addiction treatment, housing assistance, and enrichment initiatives NARA NW offers numerous opportunities for growth and advancement, all while making a tangible, positive impact on the lives of others. Position Overview: NARA NW is seeking a Data Analyst who will work with other Data Analysts, Helpdesk IT, and others within NARA NW. The Data Analyst will need to conceptualize, design, create and implement data reports reflecting organizational program metrics. The Data Analyst will work closely with the data team, managers, and program leads to understand their reporting needs. The reports, tools, presentations, and analyses generated by the Data Analyst will focus on healthcare, behavioral health, social determinants of health, policy, and operations. Other mandated initiatives, ad hoc data reports for multiple stakeholders, and internal policy and program decision-making reports will also be generated by the Data Analyst. The position produces expected reports and assists with defining and implementing new EHR workflows. This position requires in-depth and specialized subject-matter expertise of medical, pharmacy, dental, eligibility and provider claim data. What you will do: * Reviews and analyzes health record documentation and information for accuracy and completeness; ensures information is entered in the correct place for reporting. * Composes letters, memoranda, statistical reports, medical audits; completes other forms and documents. * Identifies, resolves, and corrects errors in health records; notifies appropriate staff members of discrepancies. * Responds to assigned tickets and tasks. * Creates and reviews audit reports; assists in compiling statistical data. * Account management with EHR software.
    $70k-80k yearly 31d ago
  • Data Scientist, Analytics (Technical Leadership)

    Meta 4.8company rating

    Data science internship job in Salem, OR

    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, Analytics (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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 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) 12. 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 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/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.
    $210k-281k yearly 60d+ ago
  • Entry level Data Analyst

    Savvy Chic Pawz

    Data science internship job in Washougal, WA

    Savvy Chic Pawz is a fast-growing pet accessories company that specializes in trendy and fashionable products for pets. We are dedicated to providing high-quality and unique items that cater to the needs and preferences of pet owners. Our company is committed to creating a positive and fun work environment for our employees, and we are looking for an Entry Level Data Analyst to join our team. Job Summary: As an Entry Level Data Analyst at Savvy Chic Pawz, you will be responsible for collecting, analyzing, and interpreting data to help drive business decisions and strategies. You will work closely with the marketing and sales teams to provide insights and recommendations based on your findings. This is a great opportunity for someone who is passionate about data and wants to gain experience in a dynamic and growing company. Key Responsibilities: - Collect and organize data from various sources, including sales, marketing, and customer databases - Analyze data and identify trends, patterns, and insights - Create reports and dashboards to present data in a clear and concise manner - Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations - Assist in developing and implementing data collection processes and procedures - Identify areas for improvement and make suggestions for optimization - Stay up-to-date with industry trends and best practices in data analysis - Other duties as assigned by the supervisor Qualifications: - Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field - Strong analytical and problem-solving skills - Proficiency in Microsoft Excel and other data analysis tools - Excellent communication and interpersonal skills - Ability to work independently and in a team environment - Attention to detail and accuracy - Passion for learning and a desire to grow in a data-driven role Benefits: - Competitive salary - Comprehensive health, dental, and vision insurance - 401(k) retirement plan with company match - Paid time off and holidays - Fun and inclusive work culture If you are a data-driven individual with a passion for pets and a desire to grow in a dynamic company, we would love to hear from you! Apply now to join our team as an Entry Level Data Analyst at Savvy Chic Pawz.
    $67k-101k yearly est. 60d+ ago
  • Insurance Data Analyst

    Biztek People, Inc. | Apa International Placement Consultants

    Data science internship job in Portland, OR

    The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting. Requirements Responsibilities This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills-including complex formulas, data cleansing techniques, pivot tables, and data validation tools-to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data processes to enable smooth adoption of the new platform. Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential.
    $58k-88k yearly est. 3d ago
  • Data Analyst

    Stratacuity

    Data science internship job in Portland, OR

    Job Title: Data Analyst We are seeking two Data Analysts to join our Loss Prevention/Fraud team. These roles require individuals who can own the entire analytics process-from gathering requirements to delivering insights-while collaborating across global time zones. Key Responsibilities * End-to-End Ownership: Gather business requirements, translate them into data needs, and deliver actionable insights. * Data Analysis & Quality: Trace requirements to datasets, ensure data integrity, and identify anomalies. * SQL Development: Write complex queries, including JOINs, CTEs, aggregations, and build views/procedures. * Data Access: Work primarily in Databricks and Snowflake environments. * Communication: Engage with stakeholders across regions (including Asia-Pacific) to clarify needs and present findings. * Collaboration: Partner with engineers for occasional pipeline work (~10%) or hand off as needed. * Proactive Problem-Solving: Monitor query outputs for errors (e.g., NULL values) and adjust accordingly. Required Skills * SQL Expertise: Advanced querying, CTEs, JOINs, GROUP BY, aggregations, and clean, efficient code. * Data Platforms: Familiarity with Databricks and Snowflake (deep expertise not required). * Analytical Mindset: Ability to trace data lineage and ensure quality. * Communication: Strong interpersonal skills to work with diverse teams and time zones. * Ownership: Comfortable managing projects independently without a structured handoff process. Preferred Skills * Python: For advanced data manipulation and automation. * Machine Learning Exposure: Conceptual understanding to enhance analytical thinking. * Pipeline Experience: Basic ETL knowledge (though major work can be delegated). Ideal Candidate Profile * Blends technical expertise with strong communication and collaboration. * Proactive, detail-oriented, and comfortable working in a dynamic environment. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Portland, OR, US Job Type: Date Posted: January 9, 2026 Similar Jobs * Data Analyst * Data Analyst * Business Data Analyst * PowerBI Data Analyst * Principal Data Analyst
    $58k-88k yearly est. 14h ago
  • Healthcare Data Analyst II

    Moda Health 4.5company rating

    Data science internship job in Portland, OR

    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.
    $70.6k-88.2k yearly Easy Apply 22d ago
  • Data Scientist, Privacy

    Datavant

    Data science internship job in Salem, OR

    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. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + 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, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#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: $104,000-$130,000 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 (**************************************** .
    $104k-130k yearly 13d ago
  • Data Analyst

    Procom Consultants Group 4.2company rating

    Data science internship job in Hillsboro, OR

    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.
    $70k-96k yearly est. 60d+ ago
  • Data Scientist

    Eyecarecenterofsalem

    Data science internship job in Portland, OR

    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
    $73k-104k yearly est. 5d ago
  • 213657 Data Analyst

    Procom Services

    Data science internship job in Hillsboro, OR

    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.
    $59k-88k yearly est. 1d ago
  • Data Analyst II

    Columbia Credit Union 4.0company rating

    Data science internship job in Vancouver, WA

    is on-site only in Vancouver, WA only. Columbia CU is a full-service financial institution with $2.5 billion in assets, over 100k members and we pride ourselves in our commitment to “Making Life Better” in the communities we serve. Since 1952, our commitment toward “Making Life Better” has earned us accolades and we are honored to be the recipient of several local community recognitions: Best of Clark County Award / The Columbian - 2008-2025 Best in Business Award / Vancouver Business Journal - 2013-2024 Corporate Philanthropy Award / Portland Business Journal - 2017-2025 Columbia CU Guiding Principles Vision: The most trusted, respected, and sought-after financial institution, providing innovative solutions and support for our employees, members, and communities we serve. Mission: Bringing people together to make life better for themselves and their communities. Value Proposition: Earning your trust with knowledgeable people and digital options so you can bank “Columbia” how and when you want. Leadership Philosophy: Leaders at Columbia CU inspire enthusiasm and accountability that drive our mission. Leaders build engagement and communicate honestly and openly. By rallying everyone around our shared vision, Leaders model and expect the best from individuals and teams. Core Values People - We have a passion for helping each other and our members. Community - We have a passion for contributing to the success and growth of the communities we serve. Financial Wellness - We have a passion for providing the financial education, tools and assistance that create financial wellness and stability for our organization, each other, our members and the communities we serve. Benefits Medical, Dental, Vision for employee - eligible the 1st of the month following hire date Accrued PTO, Accrued Extended Sick Time and 11 Paid Bank Holidays 401k Match- 100% match up to 6% employee contribution Tuition Assistance And More! ABOUT THIS ROLE Assist with the definition, creation, and maintenance of the enterprise data model within computing environments (e.g., Oracle, MSSQL, etc). Analyzes, tests, and implements physical database design supporting various business applications. Provides a high degree of coordination between user, technical, and applications to ensure effective data management. Above all, ensures solutions meet business objectives and establishes and maintains a high level of user trust and confidence in the Business Intelligence (BI) group's knowledge of and concern for users' business needs. Has a willingness to work with customers on varying levels of technical expertise in a high pressure, complex environment. RESPONSIBILITIES Perform logical database design in response to requirements for information. Develop utilities for monitoring and evaluating data quality. Closely monitor performance; identify problems and implement solutions. Automate procedures at regular intervals to maximize productivity and improve performance. Assist with development of rules, procedures, and standards for the access and maintenance of shared data resources. Assist other analysts or system users as needed. Assist/Field with end user support requests related to data delivery systems. Document all databases, queries, reports, etc. Produce special reports for auditors as needed. Reorganize database structures as needed. Review overall physical database structures for data integrity, performance quality, recoverability, maintenance, and space requirement considerations. Assist in monitoring the direction and growth of business to ensure the application of appropriate DB technologies and support resources through capacity planning and reporting. Contact vendor support when necessary Participate in the evaluation and recommendation of DBA tools and new DBMS technologies. Resolve problems and answer questions related to the database/reports; facilitate application development and client problem resolution with optimum speed and efficiency. REQUIREMENTS 5+ years of in-depth experience in the design, administration, programming, and support of RDBMSs/MDDBMSs (e.g., Oracle, MSSQL, MySQL) in one or more computing environments. Bachelor's degree in Computer Science, Engineering, or related discipline; and/or an equivalent combination of education and experience. Demonstrated experience working well with customers of varying levels of technical expertise in high-pressure situations and complex environments. Experience working with core banking systems in a financial institution is a plus. Experience in the design of data extract, migration, and queuing facilities. Proficiency in the concepts and practice of database normalization techniques. Strong working knowledge of database concepts/design/deployment, recovery techniques, performance monitoring and tuning, Structured Query Language, relational database and design techniques. Proficiency in several RDBMS-specific tools and utilities to efficiently support day-to-day operational activities is a must. Full knowledge of SQL, including programming and ways to optimize SQL code. COMPENSATION $95,000.00 - $115,000.00/ year Back Office Incentive Equal Opportunity Employer/AA Must be 18 or older to apply
    $95k-115k yearly 60d+ ago
  • Onchain Data Analyst & Researcher

    Coinbase 4.2company rating

    Data science internship job in Salem, OR

    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
    $53k-74k yearly est. 60d+ ago
  • NSIP Masters Intern - Artificial Intelligence & Data Analytics

    Pacific Northwest National Laboratory 4.5company rating

    Data science internship job in Salem, OR

    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 AI and Data Analytics (AIDA) Division, part of the National Security Directorate, 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. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking Masters students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Software Engineering & Architectures:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing:** We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering. Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization + **Operational Readiness & Enablement:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud computing, DevSecOps, software testing, data and AI engineering, project management. Positions are available in Richland, Seattle, WA and internships may be supported remotely or on-campus at one of these locations, based on business need. ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **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. **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** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. 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 $20.87/Hr. **Maximum Salary** USD $31.30/Hr.
    $20.9-31.3 hourly 6d ago
  • Supply Chain Data Scientist

    HP Inc. 4.9company rating

    Data science internship job in Vancouver, WA

    HP is the world's leading personal systems and printing company, dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion, talent, and curiosity of our people-each bringing unique perspectives, expertise, and ideas to shape the future of how the world works and lives. **Join HP's Strategic Planning and Modeling (SPaM) Data Science Team - Where Vision Meets Impact** Are you a visionary thinker with a passion for learning and innovation? Join our **Strategic Planning and Modeling (SPaM) Data Science team** , where we tackle complex supply chain challenges and drive strategic decision-making through advanced analytics. As a member of SPaM, you will: ✅ **Evaluate** supply chain investment and improvement opportunities. ✅ **Develop** cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes. ✅ **Deliver** strategic recommendations that shape HP's global supply chain. ✅ **Collaborate** with senior executives to set direction and drive innovation. ✅ **Lead** with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration. At SPaM, we bring over **35 years of supply chain innovation** . We value flexibility, invest in your growth through **formal training and mentorship** , and foster a culture where creativity and data-driven insights power the future. **If pioneering data-based innovations to transform HP's supply chain excites you, we want to hear from you!** **Responsibilities** + **Collaborate & Strategize:** Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership. + **Drive Supply Chain Innovation:** Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making. + **Transform Data into Impact:** Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value. + **Build & Scale Advanced Analytics Solutions:** Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale. + **Enable Change & Adoption:** Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization. + **Stay Ahead of the Curve:** Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends. **Education and Experience Required** + MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration + Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area + 10+ years of experience **Knowledge and Skills** + Expertise with inventory optimization math and deployment of the mathematical formulas into a business process + Applied experience with machine learning and optimization on large datasets + Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel + Experience with GenAI + Passion for data science & delivering data-driven outcomes + Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return) + Demonstrated practical experience in an operational environment + Experience implementing and handing off operational analytical solutions to business users + Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment + Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence + Experience with data visualization and data presentation in a clear and effective manner + Experience leading, collaborating with, and delivering results in cross-functional teams + Familiarity with statistics, forecasting, simulation, and spreadsheet modelling + A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability The base pay range for this role is **$147,050 to $232,850** annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. **Benefits** HP offers a comprehensive benefits package for this position, including: + Health insurance + Dental insurance + Vision insurance + Long term/short term disability insurance + Employee assistance program + Flexible spending account + Life insurance + Generous time off policies, including: + 4-12 weeks fully paid parental leave based on tenure + 11 paid holidays + Additional flexible paid vacation and sick leave (US benefits overview (********************************** ) The compensation and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. **\#LI-POST** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
    $147.1k-232.9k yearly 9d ago
  • Data Scientist 4

    Lam Research 4.6company rating

    Data science internship job in Tualatin, OR

    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.
    $71k-91k yearly est. 28d ago
  • Data Scientist, Product Analytics

    Meta 4.8company rating

    Data science internship job in Salem, OR

    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. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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.
    $147k-208k yearly 60d+ ago
  • Healthcare Data Analyst II

    Moda Health 4.5company rating

    Data science internship job in Portland, OR

    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.
    $70.6k-88.2k yearly Easy Apply 60d+ ago
  • Insurance Data Analyst

    Stratacuity

    Data science internship job in Portland, OR

    Insurance Data Analyst Pay Rate Range: $40/hr-$65/hr Key Responsibilities: The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting. This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills-including complex formulas, data cleansing techniques, pivot tables, and data validation tools-to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data processes to enable smooth adoption of the new platform. Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or ************. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Portland, OR, US Job Type: Date Posted: January 15, 2026 Similar Jobs * Data Analyst * Data Analyst * Data Analyst * Data Center Planning Analyst * Information Security Data Analyst
    $40 hourly 14h ago

Learn more about data science internship jobs

How much does a data science internship earn in Gresham, OR?

The average data science internship in Gresham, OR earns between $31,000 and $106,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in Gresham, OR

$58,000
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