Data Scientist
Data science internship job in Salem, OR
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Advanced Degree Data Scientist - Full-time Intern Conversion
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.
Data Scientist, Product Analytics
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. 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.
Data Analyst
Data science internship job 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
Data Scientist, NLP
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.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding 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.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#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 (**************************************** .
Healthcare Data Analyst II
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.
Easy ApplyPrincipal Data Scientist
Data science internship job in Portland, OR
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
This position requires occasional travel to the DC area for client meetings.
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Minimum Requirements:
- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Contribute to the development of mathematically rigorous process improvement procedures.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming.
- Experience with Linux.
- Experience with Statistics.
- Experience with Classical Machine Learning.
- Experience working as a contributor on a team.
Preferred Skills and Qualifications:
- Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.).
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI.
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
Background Investigations:
- IRS MBI - Eligibility
#techjobs #VeteransPage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************.
Minimum Salary
$
156,740.00
Maximum Salary
$
234,960.00
Easy ApplyData Analyst
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
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.
Data Scientist
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
Data Analyst
Data science internship job in Beaverton, OR
FlexIT is looking for a Data Analyst for a remote 12 months contract.
Email resumes to: *********************
Job Duties and Skills:
Data Analysis
Pulling data from database platforms
Creating source to target mapping documents
Analyzing Json contracts
Working in line with Nike data modeling and architecture best practices to support project initiatives
Leveraging data expertise to distinguish master data, reference data, metadata
Working with engineering to support enterprise data consumption (Amazon AWS, API, snowflake, hive)
Strong SQL for analytics
Documenting data processes, models, work in flight in Confluence and Jira
Great technical and non-technical communication skills to be used for requirements gathering with stakeholders and communicate with engineering teams
Easy Apply213657 Data Analyst
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.
Onchain Data Analyst & Researcher
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
Data Analyst Intern
Data science internship job in Salem, OR
**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
**Job Description**
We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026.
**This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.**
**What** **You'll** **Do**
+ Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
+ Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
+ Develop and maintain dashboards and reports to communicate findings to stakeholders
+ Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
+ Support the team in ad hoc analysis and reporting requests
**What** **You'll** **Need**
Required:
+ Current Junior pursuing a degree in Computer Science or a related field
+ Minimum GPA of 3.5 or higher
+ Strong analytical skills and experience with data patterns and trends
+ Excellent critical thinking and problem-solving abilities
+ Familiarity with data analytics tools and techniques
+ Passion for working with data and a keen interest in customer data analysis
Preferred:
+ Understanding data engineering, data warehousing, and ETL processes
+ Familiarity with Python, Java, or Scala
+ Familiarity with Azure data storage
+ Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
+ Familiarity with cloud platforms (AWS or Azure,) and related data services
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
\#DNP
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Senior Data and Research Analyst
Data science internship job in Portland, OR
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.
Park Research Analyst 3: Data Analyst-National Service / Inventory & Monitoring
Data science internship job in Corvallis, OR
Details Information Department Acad Prog / Student Aff (LCB) Classification Title Research Analyst 3 Job Title Park Research Analyst 3: Data Analyst-National Service / Inventory & Monitoring Appointment Type Classified Staff Job Location Bend Benefits Eligible Full-Time, benefits eligible Remote or Hybrid option? Yes Employment Category Regular Job Summary
This recruitment will be used to fill one full-time Research Analyst 3 position for the Oregon State University Human and Ecosystem Resiliency and Sustainability (HERS) Lab, located in Bend, Oregon at the OSU-Cascades Campus..
The Oregon State University Human and Ecosystem Resilience and Sustainability (HERS) Lab is a research institution that delivers expertise in ecological assessment and monitoring, restoration, and native plant materials to support evidence-based conservation for the 21st century. The HERS Lab hosts the Upper Columbia Basin Inventory and Monitoring Network of the National Park Service (UCBN), East Cascades Native Plant Hub (ECNPH), Wildlife Connectivity Hub and the Northwestern Bat Hub on the OSU Cascades campus in Bend, OR. The Lab is hiring one Research Analyst 3 for a four-year (through 6/15/2029) full-time appointment, with a possibility for extension subject to availability of funds and/or project requirements.
This position will be part of an analysis team that supports an existing project in collaboration with the National Park Service Inventory and Monitoring Division. The project entails working with staff representatives for NPS I&M and HERS Lab to design and implement a coordinated data analysis plan for pre-existing long-term monitoring datasets collected over the last 20 years for bats and other wildlife, forest, shrubland, rare plant, and wetland communities, freshwater and marine ecosystems, and wildfire and climate impacts on these and other natural resources in national parks. The Research Analyst 3 will use R and Python programming languages, GIS, and related tools to establish and conduct complex and reproducible analysis workflows, summarize information using maps, graphs, tables, and statistical tools, and report findings in technical reports, peer-reviewed manuscripts, and conference presentations. The Research Analyst 3 will work with a Research Associate and the broader analysis team to propose recommendations to NPS I&M for analysis interpretation and translation into management strategies, identify needs for and contribute to updates and revisions to existing data collection and analysis protocols associated with projects, and assist analysis team members in maintaining a dynamic program of quantitative ecological discovery applied to conservation decision-making in and around National Parks and protected areas. The Research Analyst 3 will report to the lab director/project PI and will work closely with the National Park Service and HERS Lab team members to prioritize and complete project tasks.
Why OSU?
Why OSU-Cascades?
Founded in 2001, Oregon State University - Cascades brings higher education to Central Oregon while leveraging the excellence of a land grant and top-tier research university in one of the most dynamic cities in the Pacific Northwest.
Located near downtown Bend and surrounded by mountains, forest and high desert, OSU-Cascades offers small classes that accelerate faculty-student mentoring and experiential learning in an innovative environment that accelerates opportunities for student, faculty and staff development and advancement.
With a 128-acre campus under development and a goal to grow to 3,000 to 5,000 undergraduate and graduate students, OSU-Cascades is delivering on a 40-year grassroots community effort to bring the benefits of a comprehensive university to the region:
Student Body and Alumni
Student and alumni data is as of fall 2024.
* 1,370 undergraduate and graduate students
* 78% from Oregon
* 42% Central Oregonians
* 24% first generation students
* 23% students of color
* 19 students on average per class
* 95% of 2023 graduates employed or in graduate school within 6 months of graduation
* 5,625 degrees awarded since founding
Academic Majors
A growing portfolio of degree programs at OSU-Cascades is designed to meet regional and state industry workforce and economic needs.
Research
Research underway at OSU-Cascades focuses on challenges in energy, the environment, human wellness, social justice and society. Labs at OSU-Cascades include the FORCE biomechanics lab, the Laboratory for the American Conversation and the Sustainable Tourism Laboratory.
Campus Development
OSU-Cascades' campus development is driven by an award-winning long range development plan and engineering efforts that are transforming brownfields into a thriving university campus. Sustainability plans include net zero energy, waste and water goals. Initial sustainability efforts are seen in geothermal sourced energy to heat and cool buildings, and native plant landscaping requiring little or no irrigation. In addition to an academic core, campus plans includes a 24-acre innovation district, mid-market affordable housing, and 10-miles of walking/biking trails.
Working for Oregon State University is so much more than a job!
Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all.
FACTS:
* Top 1.4% university in the world
* More research funding than all public universities in Oregon combined
* 1 of 3 land, sea, space and sun grant universities in the U.S.
* 2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties
* 7 cultural resource centers that offer education, celebration and belonging for everyone
* 100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates
* 35k+ students including more than 2.3k international students and 10k students of color
* 217k+ alumni worldwide
* For more interesting facts about OSU visit: *****************************
Locations:
Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport.
Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances.
Total Rewards Package:
Oregon State University offers a comprehensive benefits package with benefits eligible positions that is designed to meet the needs of employees and their families including:
* Medical, Dental, Vision and Basic Life. OSU pays 95% of premiums for you and your eligible dependents.
* Free confidential mental health and emotional support services, and counseling resources.
* Retirement savings paid by the university.
* A generous paid leave package, including holidays, vacation and sick leave.
* Tuition reduction benefits for you or your qualifying dependents at OSU or the additional six Oregon Public Universities.
* Robust Work Life programs including Dual Career assistance resources, flexible work arrangements, a Family Resource Center, Affinity Groups and an Employee Assistance Program.
* Optional lifestyle benefits such as pet, accident, and critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life.
Oregon State University is deeply committed to the principles of a Health Promoting University. This commitment drives a collaborative approach across OSU's safety and well-being programs, reducing silos and coordinating efforts to enhance employee safety and well-being. By prioritizing resources that support the health of both employees and students, OSU fosters a culture of care and a healthier campus environment where everyone can thrive.
Future and current OSU employees can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU.
Key Responsibilities
This position is responsible for the day-to-day coordination and implementation of quantitative analyses and communication of findings for a portfolio of long-term monitoring projects in and around National Parks and protected areas.
70% Data analysis
* Participates in NPS research study design and analysis teams.
* Responsible for analysis of complex study designs and analysis. This will include the use of statistical randomization procedures such as the Generalized Random Tessellation Stratified (GRTS) design approach commonly used in contemporary ecological studies where robust inference and analytical flexibility is required. Analyses of long-term trends in populations and ecosystems where rotating panel designs and unequal-probability design weights need to be accounted for, as well as challenges including imperfect detection and missing data. Approaches required may include Bayesian methods with informative priors.
* Interprets and draws conclusions from analyses that will be used to inform NPS and partner agency management decisions about restoration and conservation actions such as species habitat requirements and efficacy of actions such as herbicide applications.
* Report findings in technical reports and peer-reviewed manuscripts; makes recommendations to the NPS I&M for interpretation and translation into management strategies.
20% Science communication and decision support
* Responsible for refining existing and establishing new analytical and science communication techniques for use with NPS managers.
10% Teamwork, including effective participation in Lab strategic planning
What We Require
Two years of research experience independently gathering, compiling, and analyzing data using statistical methods (inferential, multivariate analysis, etc.); using statistical software packages to manipulate the data; and preparing narrative or statistical reports and college-level course in statistics (at least six quarter hours); OR An equivalent combination of training and experience. Transcripts must be submitted for all required and/or related courses. Please highlight the statistical courses.NOTE: Some agencies may require experience in using trends (such as social, economical, industrial, etc.).
What You Will Need
* At least two years of research experience applying research methods, procedures, and techniques in the natural resources management and conservation fields, and specifically related to protected area management; applying statistical and forecasting principles and procedures; planning and designing research projects and/or inventory and monitoring programs specifically tailored to protected area management; writing technical research reports and/or documents; and using statistical computer software packages.
What We Would Like You to Have
Demonstrated experience with the following:
* Conducting and publishing basic and applied research related to conservation or natural resource science.
* Conducting and interpreting statistical analyses of a wide range of ecosystem-related data.
* At least three years of work experience with federal land or wildlife management agencies, including the US Fish and Wildlife Service, National Park Service, US Forest Service, or Bureau of Land Management.
* Ability to tolerate ambiguity.
* Ability to lead groups and to plan, organize, evaluate, manage, and delegate details.
* An understanding of the basic philosophy of the Land Grant University system and of the major federal land management agencies (USFWS, USFS, NPS, BLM).
* Experience using multiple forms of electronic communication.
* Commitment to work with underrepresented and underserved audiences.
* Life experience, education, and/or training that broaden capacity to equalize the success or impact on underserved audiences with special attention to diversity and inclusion.
Working Conditions / Work Schedule
This position will primarily occur in an office environment. Remote work is possible with approval from the PI, although office space and computing resources will be provided at the OSU-Cascades Campus.
Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Min Salary $28.75 Max Salary $44.00 Link to Position Description
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Posting Detail Information
Posting Number P05484CT Number of Vacancies 1 Anticipated Appointment Begin Date 12/22/2025 Anticipated Appointment End Date Posting Date 12/05/2025 Full Consideration Date 12/16/2025 Closing Date 12/18/2025 Indicate how you intend to recruit for this search Competitive / External - open to ALL qualified applicants Special Instructions to Applicants
To ensure full consideration, applications must be received by December 16, 2025. Applications will continue to be accepted after the full consideration date, until a sufficient applicant pool has been achieved or the position is filled. The closing date is subject to change without notice to applicants.
Applications will be reviewed based on the information submitted on the employment profile with education and work history along with any other requested documentation i.e. posting specific question responses, transcripts, etc. Your profile MUST clearly show how you meet the minimum/required qualifications for the position.
Resumes are NOT accepted at the application stage for this position.
Equivalent required experience is based on full-time equivalent (40 hours per week).
Transcripts must be submitted for all required and/or related courses. All courses must be from accredited colleges, universities, or private vocational schools. The online application system will allow you to attach your transcripts if the PDF file is 9MB or less. Transcripts must be received by the closing date. If you have trouble uploading your transcripts, reach out to the contact listed.
PLEASE NOTE: If you have volunteer experience relevant to this position, please include in the Employment History section and note length of time, average number of hours per week and major duties.
Typically, the starting salary is at the lower end of the salary range.
For additional information please contact:
Matt Shinderman
********************************
************.
We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.
OSU will conduct a review of the National Sex Offender Public website prior to hire.
Supplemental Questions
Easy ApplyData Scientist
Data science internship job in Salem, OR
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.
Healthcare Data Analyst II
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.
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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.
Easy ApplyData Analyst
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.
Data Scientist/Architect
Data science internship job in Beaverton, OR
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.
Data Analyst Technician
Data science internship job in Corvallis, OR
Details Information Job Title Data Analyst Technician Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Remote or Hybrid option? Min Hourly Rate $15.05 (Standard); $14.05 (Non-Urban); $16.30 (Portland Metro) Max Hourly Rate $21.50 (Standard); $19.50 (Non-Urban); $22.00 (Portland Metro)
This recruitment will be used to fill one (1) part-time (a maximum of 24 hours per week) Data Analyst Technician for the College of Earth, Ocean, & Atmospheric Sciences at Oregon State University (OSU).
This work is a data analyst position in support of downloading, wrangling, and converting data for a synthesis project. Duties include downloading data from diverse portals and websites, checking data types, reformatting data, and obtaining metadata on each sites. We are specifically focused on obtaining soil moisture and precipitation timeseries data, along with the physical coordinates of the site. This position requires someone who pays attention to detail, can keep files organized, and can follow a specific protocol. We are looking for someone with excellent team work skills, who is detail-oriented, and has a fluent coding background (e.g., Python).
Transferable Skill Development
OSU is committed to ensuring students are prepared for success after graduation through intentional skill development as student employees. The competencies students develop while working at OSU are defined by the National Association of Colleges and Employers (NACE) as the essential skills employers seek in their hires. In this position, students learn and build vital career-readiness skills in the primary areas below:
Communication, Critical Thinking, Teamwork, Career & Self-Development
Position Duties
● Download data from websites (checking for time frequency)
● Data reformatting
● Applying quality controls on data
● Data visualization and science communication
Minimum Qualifications
Full Employment Eligibility Requirements can be found here: ********************************************************************************************
* Must be academically enrolled in a high school, community college, or university and pursuing a program or course of study
* Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment
* Must meet the applicable minimal enrollment standard
* High School student: Regularly enrolled in a high school or participating in a home-schooling program
* Undergraduate and post-baccalaureate student: 6 credit hours per term
* Undergraduate international student: 12 credit hours per term*
* Graduate student officially admitted to Graduate School: 5 credit hours per term
* Graduate international student officially admitted to Graduate School: 9 credit hours per term*
* International students may be allowed to carry fewer hours than specified above and still be considered "full-time" by the United States Citizenship and Immigration Services (USCIS). A reduced course load is approved by the Office of International Services (OIS), and must be provided to the Student Employment Center.
Additional Required Qualifications
● Excellent team work skills
● Superior attention to detail
● Experience with data processing, QA/QC, and production of data products in visual and written form
● Willingness to learn new skills and tasks
● Fluent capacity for coding python
● A basic foundation of knowledge and skills in data analysis
● Demonstrated ability to work productively and contribute to a respectful, professional work environment.
Preferred (Special) Qualifications
● Taken classes in environmental science research methods and techniques, and statistics
● Familiarity with working with environmental data
● Demonstrated ability to work cooperatively with research collaborators
Working Conditions / Work Schedule
Posting Detail Information
Posting Number P12672SE Number of Vacancies 1 Anticipated Appointment Begin Date 01/09/2026 Anticipated Appointment End Date 06/14/2026 Posting Date 12/10/2025 Full Consideration Date 01/07/2026 Closing Date 01/09/2026 Indicate how you intend to recruit for this search Competitive / Student - open to ALL qualified/eligible students Special Instructions to Applicants
When applying you will be required to attach the following electronic documents:
● A Resume describing your qualifications, your professional goals, and what you hope to gain from this position
● A Cover Letter
For additional information please contact: Caitlin Mayernik at ************************
We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.
OSU will conduct a review of the National Sex Offender Public website prior to hire.
Note: All job offers are contingent upon Human Resources final approval
Supplemental Questions
Easy Apply