Data science internship jobs in Carolina, PR - 25 jobs

**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.

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic eConsult Analyst - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do/Responsibilities As a Project Delivery Specialist II (PDS II) at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed. * Epic Orders, Ambulatory and MyChart analysts implementing and supporting eConsults. * Including the maintenance support across client regions. Registry development, reporting, upgrade and release management. * Work the implementation team to plan and complete build, implement end-to-end Epic * Work command center shifts to investigate during go-live, document, and resolve break-fix tickets. * Conduct and document root cause analysis. Complete any assigned system maintenance. * Deeply experienced Epic analyst to work implementation , build and strong experience with SDLC for Epic. * Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management * Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes The Team Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our Industry Solutions offering provides verticalized solutions that transform how clients sell products, deliver services, generate growth, and execute mission-critical operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector. Qualifications Required * Current certification in Epic analysts with EpicCare Ambulatory, MyChart, or Orders certification, * 5+ years of experience in build and configuration experience in an implementation project with eConsults. * 5+ years of experience in telehealth and the full cycle referral process to build, implement and optimize InBasket distribution schemes * Visit navigators creation and condition to appear for eConsults, send Charts to Specialist for provider response to messages, creation of procedure records for eConsult visits and reporting * Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * Limited immigration sponsorship may be available * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred * Hospital or Clinic operations experience * Additional Epic Certifications * ITIL process knowledge * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable work products * Can operate independently or with minimum supervision * Excellent Written and Communication Skills * Ability to deliver technical demonstrations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,875 - $130,500 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: [1] ************************************************************************************************************ Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see ********************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 317250 Job ID 317250

At On Point Strategy , we believe that data tells a story - and we make that story visible.We are looking for a Data Analyst who is passionate about transforming information into actionable insights. You will analyze, visualize, and automate data to help our clients and internal teams make smarter, faster, and more strategic decisions. Your work will have a direct impact on how organizations understand performance, identify opportunities, and optimize processes. Key Responsibilities Collect, clean, and analyze data from multiple sources (Excel, SharePoint, Power BI, internal databases, etc.). Design and maintain Power BI dashboards that turn data into clear, actionable insights. Automate reporting processes and ensure data accuracy and consistency. Collaborate with cross-functional teams to identify data needs and deliver analytical solutions. Identify trends, opportunities, and risks through data analysis. Document processes, data flows, and analytical best practices. Technical Requirements Advanced proficiency in Excel (pivot tables, formulas, macros, data cleaning and structuring). Experience with Power BI (data modeling, DAX measures, Power Query, connections, and dashboard design). Intermediate to advanced knowledge of SQL or similar data transformation tools. Familiarity with SharePoint or Microsoft 365 environments. Strong understanding of descriptive, diagnostic, and predictive analysis concepts. Professional Qualifications Bachelor's degree in Statistics, Engineering, Economics, Business Administration, or Data Science. Minimum 2 years of experience in data analysis, business intelligence, or similar roles. Ability to translate complex data into clear visual stories that support decision-making. Strong attention to detail, analytical thinking, and results-oriented mindset. Excellent communication skills for presenting findings to non-technical audiences. Preferred Qualifications Experience with Power Automate or Python for process automation. Knowledge of other visualization tools (Tableau, Looker, Google Data Studio). Interest or familiarity with artificial intelligence applied to business analytics. Why Join Us Be part of a team that combines strategy, analytics, and creativity to turn data into decisions. Work with diverse organizations and contribute to strengthening their analytical capabilities. Grow in an environment that values continuous learning, innovation, and collaboration.

Internal title: Associate Director, Psychometric Operations & Data Science External Posting Role Title: Applied Data Scientist / Assessment Data Scientist College Board - Global Strategy and Talent, College Board LATAM Location: San Juan, Puerto Rico. This is a hybrid role and requires the candidate to be on-site at CB offices every Tuesday and Wednesday. Role Type: This is a full-time position. About the Team The Latin America Office at the College Board is dedicated to expanding educational opportunities and improving student outcomes across the region. Embedded within the Research and Development (R&D) division, the Research & Measurement (R&M) team is dedicated to ensuring that our assessments are scientifically sound, evidence-based, and aligned with our mission. We work at the intersection of psychometrics, data science, and applied research, guiding how our assessments are designed, scored, and continuously improved. Our team ensures that research and measurement practices are transparent, defensible, and grounded in robust methodological standards. R&M also collaborates with internal and external stakeholders to generate insights that advance the region's educational goals, promote equitable test use, and strengthen the link between assessment results and educational outcomes. Together with colleagues in Technology, Assessment Operations, and Market Development, we are building the data systems and analytic capabilities that will power the next generation of digital, research-informed assessments across Latin America. About the Opportunity The (Applied Data Scientist / Assessment Data Scientist), internally known as, Associate Director, Psychometric Operations & Data Science, plays a hands-on role in strengthening the accuracy, efficiency, and innovation of CB-LATAM's psychometric and operational data workflows. You will design and maintain automated data pipelines that enable scoring, scaling, and reporting processes to run smoothly and reproducibly. You will also perform item calibration, statistical analysis, and quality control to support scoring operations and ensure that the item bank remains current, valid, and reliable. By improving data workflows and implementing analytics-driven solutions, you will help modernize psychometric operations and embed quality controls throughout the data lifecycle. Beyond R&M, you will also serve as CB-LATAM's data governor-understanding what comes in and what goes out, where it's stored, how long it's stored, and what it's used for. You will act as an owner of the architecture of our data, ensuring its integrity, accessibility, and compliance with internal policies and professional standards. Working in close partnership with Psychometricians, R&D staff, and Technology teams, you will apply advanced statistical and programming skills to streamline complex workflows, automate recurring processes, and transform data into actionable insights. This role is ideal for a technically skilled and analytically curious professional who wants to contribute directly to evidence-based innovation in educational measurement, while ensuring that CB-LATAM's data systems are accurate, policy-compliant, and future-ready. In this role, you will: Psychometric Operations (40%) * Support scoring operations through quality assurance routines, data validation, and review of scoring keys, parameters, and distributions. * Maintain and update the item bank database, ensuring data accuracy, version control, and metadata integrity. * Execute item calibrations and test-level analyses using classical test theory (CTT) and item response theory (IRT) models. * Conduct statistical and psychometric analyses for pretests, operational forms, and field test data. * Collaborate with Psychometricians to ensure operational equating and scaling are performed with precision and consistency. Data Operations, Automation & Governance (35%) * Serve as CB-LATAM data governor: overseeing data flow, architecture, and lifecycle management across psychometric and operational systems. * Ensure that all data systems comply with College Board governance policies, professional testing standards, and privacy requirements. * Monitor data inflow/outflow and document data usage, ensuring transparency and ethical stewardship. * Implement reproducible scripts and validation routines (in R or Python) to standardize workflows. * Build, maintain, and automate data pipelines for scoring, equating, and reporting. * Contribute to research documentation, technical reports, and internal publications summarizing results and innovations. Applied Data Science & Analytics (25%) * Develop dashboards and visualizations that summarize psychometric and operational indicators. * Identify opportunities to automate repetitive processes, reduce manual dependencies, and strengthen quality assurance. * Apply AI and machine learning techniques to detect data anomalies and enhance workflow efficiency. * Partner with Psychometricians, Technology, and R&D staff to deploy analytic solutions into production environments and improve system interoperability and reporting efficiency. About You: * Master's degree in Statistics, Data Science, Psychometrics, or related field. * 5-8 years of experience in data analytics, psychometric operations, or applied quantitative research. * Proficiency in R, Python, SQL, and data visualization tools (Tableau, Power BI). * Working knowledge of IRT and CTT models, scaling, and equating procedures. * High attention to data quality, compliance, and ethical standards and the ability to dissect complex data problems, troubleshoot issues, and craft actionable solutions. * Experience leveraging data insights to influence both operational and strategic decisions. * Skilled in automation, analytical rigor, programming proficiency and reproducible workflow design. * Ability to travel 1-2 times a year to College Board offices or on behalf of College Board business. * Bilingual proficiency in Spanish and English. * This position primarily involves sedentary work performed at a computer. The role requires the ability to sit or stand for extended periods, communicate effectively, and operate standard office equipment. All roles at College Board require: * A passion for expanding educational and career opportunities and mission-driven work * Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively. * Clear and concise communication skills, written and verbal * A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. * A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. * A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success * Authorization to work in the United States About Our Process * Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. * While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks. What We Offer At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market. A Thoughtful Approach to Compensation * The hiring range for this role is $45,000 -$61,000. * Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. * We aim to make our best offer upfront, rooted in fairness, transparency, and market data. * We adjust salaries by location to ensure fairness, no matter where you live. You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more. #LI-LATAM #LI-MD1

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Department: Operations Employment Type: Full Time Reporting To: Michelle Echeandia Description Alcanza is a growing multi-site, multi-phase clinical research company with a network of locations in AL, AZ, FL, GA, IL, MA, MI, MO, NV, SC, TX, VA, and Puerto Rico. We have established a strong presence across Phase I-IV studies and several therapeutic areas including vaccine, neurology, dermatology, psychiatry, and general medicine. Join us as we continue to grow. The Data Entry Coordinator works to ensure the execution of assigned studies in compliance with GCP, ICH, HIPAA, FDA Regulations, and SOPs. Key Responsibilities Essential Job Duties: In collaboration with other members of the clinical research site teamwork to ensure the entry of clinical visit data in EDC and other clinical data software/systems. Responsibilities may include but are not limited to: * Managing data entry into computer systems for clinical trials, including entering patient data into eDC and other software * Reviewing patient charts and other medical records to ensure data is entered in a timely manner in accordance with eCRF guidelines and protocol requirements * Reporting any irregularities or problems with a study to the appropriate parties * Supporting other clinical research-related activities * Ensuring compliance with SOPs, regulations, ICF documentation, and GCP/GDP guidelines * Maintaining confidentiality of patients, customers, and company information, and performing other related activities as assigned. Skills, Knowledge and Expertise Minimum Qualifications: High School diploma or equivalent and a minimum of 1 year of clinical data entry experience, or an equivalent combination of education and experience. Bilingual required (English/Spanish). Required Skills: * Proficiency with computer applications such as Microsoft applications, email, and web applications, and the ability to type proficiently (40+ wpm); * Strong organizational skills and attention to detail. * Well-developed written and verbal communication skills. * Well-developed interpersonal and listening skills and the ability to work well independently as well as with co-workers, subjects, managers and external customers. * Ability to effectively handle multiple tasks, and adapt to changes in workloads and priorities. * Must be professional, respectful of others, self-motivated, and have a strong work ethic. * Must possess a high degree of integrity and dependability. * Ability to handle highly sensitive information in a confidential and professional manner, and in compliance with HIPAA guidelines. Benefits * Full-time employees regularly scheduled to work at least 30 hours per week are benefits-eligible, with coverage starting on the first day of the month following date of hire. * Medical, dental, vision, life insurance, short and long-term disability insurance, health savings accounts, supplemental insurances, and a 401k plan with a safe harbor match are offered.

V2A Consulting is looking for Data Analyst candidates for our growing Analytics practice. Data Analysts are an integral part of our Analytics team. They are responsible for managing our knowledge databases, and for transforming and visualizing data to facilitate and enhance business decision making as part of our engagements with clients. Our Data Analysts usually have a Bachelor's or Master's degree plus 0-3 years of work experience. Key areas of responsibility: Conduct data-driven analyses, interpret results and draw conclusions, and perform data visualizations through business intelligence tools Manage databases including data extraction (through SQL or Python programming when necessary), data transformations, data integrations, and data pipeline automations. Validate data and identify and resolve data quality issues Present results in a simple and comprehensive way to non-technical audience Understand technical requirements and be able to communicate with computer scientists, programmers, and technology support Support Data Scientists in the process of building and testing machine learning models, particularly during the data preparation phase Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class data wrangling and database management Train other teams on analytical tools and techniques Requirements What we are looking for: Education : Bachelor's or Master's degree in Data Science, Computer Science or Business Analytics Bachelor's or Master's degree in Statistics, Economics or Mathematics Bachelor's or Master's degree in Social Sciences, Psychology or any other Bachelor's or Master's degree with strong applied statistics or data management and analysis (e.g. Biosciences) Qualifications: 0-3 years of work experience Problem Solver - Capacity to apply knowledge and skills to solve complex problems Team Player - Ability to build and manage relationships effectively with technology teams, with programmers, and with client team members and stakeholders in general High self-motivation for learning, and setting and achieving challenging goals Compelled to excel and succeed in every task at hand Thrives in an entrepreneurial, results-oriented environment Academic and/or professional experience using a programming language to perform data transformations (e.g. Python, R, SaS, C++) Academic and/or professional experience using statistical methods for analysis Experience in the use of data transformation and database management tools highly valued (e.g. Microsoft Excel, Power Query, Data Bricks, SAS Enterprise Guide, Visual Basic, SQL Browser, …) Experience in the use of business intelligence tools highly valued (e.g. Power Bi, Tableau, Business Objects, Clik Data Analytics, Zoho Analytics, SAS Visual Analytics, …) Experience in the use of PowerPoint and Word highly valued Fully Bilingual (Spanish and English)

What you'll do In a few words… Abarca is igniting a revolution in healthcare. We built our company on the belief that with smarter technology we are redefining pharmacy benefits, but this is just the beginning… As Rebates Data & Reporting Analyst you will analyze rebates invoices for manufacturing companies, contractual terms for billing, generate reconciliations and help designing tools to ensure the accuracy and completeness of data related to rebates billing cycle. The process will include reporting for external or internal users. You will also be supporting and collaborating in the new data management in a new repository. This role will also be providing full support of data element maintenance in the new reporting and analytics repository and help define new policies and procedures related to the collection and data accuracy, transformation of data to keep track of all rebates data flow in Abarca. The fundamentals for the job… Continually collaborates with business and technology stakeholders to identify needs and opportunities for improved data and analytics solutions and delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support. Generate, review, analyze, and send out rebates reporting to external stakeholders, internal clients, manufacturer companies related to pharmacy and medical rebates for Commercial, Medicare and Medicaid line of business. Provide analytical support for rebates process management for all lines of business (3 rd party aggregator, In-House, MDRP and ASES). Ability to do research, investigate discrepancies, and propose as well as develop solutions. Perform complex root-cause analysis of issues identified in rebates reports. Gather necessary data to pinpoint problem areas on which to focus, validating that the analysis is data driven, recommending, and implementing solutions and evaluating those results, and implementing controls to monitor consistent use of the solution. Perform assessment and communicate critical information gathered by the reporting tools. Identify, analyze, and interpret trends or patterns in complex data sets. Assist in preparation of monthly management reports, accompanying schedules, worksheets and narratives, and quarterly and annual regulatory filings. Assist in the development, testing and maintenance of data architecture, ETL/ELT processes, logical and physical data models in alignment with business requirements. Support data modeling for new rebate data design in Snowflake. Identify manual processes that can be automated and participate in developing processes to eliminate manual dependencies and incorporate necessary QA steps to minimize and identify errors. Participates in initiatives or projects that support process improvements, or the integration of data/other applications into existing systems. Support rebate information requests from clients; ad-hoc financial reports for clients and partners, as needed. Provide reporting as well as perform querying, testing, development, and validation of data. Provide support to business and technical users regarding rebates process and develop complex QA processes to ensure data compliance with established procedures. Collaborates with rebates team and technical resources to identify and address data quality issues when they arise. Provide necessary supporting documentation of findings. Support data integrity process, including data extraction, storage, manipulation, processing, and analysis; verify the completeness, timeliness, and accuracy of data; work with a variety of data files to ensure all rebate data is accurately loaded to the systems with proper support documentation. Track and document all requests, issues, deliverables to provide reporting and updates on a weekly basis to your manager and team. Interacts with internal and external members to accomplish goals. Communicate complex findings and conclusions in an easy-to-understand way, as well as ability to manage tight deadlines and competing priorities to ensure timely deliveries. Perform other duties and special projects as assigned. What we expect of you The bold requirements… Bachelor's or Master's degree in computer science, engineering, or a related field. (In lieu of a degree, equivalent relevant work experience may be considered). 3+ years of relevant work experience in PBM or pharmaceutical rebate management. 3+ years of professional experience with SQL and reporting tools (i.e., Snowflake, Microsoft BI, Tableau, QlikView). Experience in designing, reporting, and delivering analytical solutions. Experience managing complex reconciliation processes. Experience leveraging tools for reporting and analytics (e.g. Excel, SSRS, PowerBI). Excellent oral and written communication skills. Spanish is a plus. We are proud to offer a flexible hybrid work model which will require certain on-site work days (Puerto Rico Location Only) This position requires availability to work in a specified time zone or working schedule, accommodating the business needs of our clients and team members. This position may require availability for on-call hours, including evenings, weekends, and holidays, to promptly address emergent issues or provide necessary support as dictated by operational demands (if applicable). Nice to haves… Experience in a role within a financial field, Business Intelligence or Analytical team. Experience in healthcare industry, claims processing, Commercial, Medicare and Medicaid line of business and Pharmacy rebates, claims processing and data interchange. Physical requirements… Must be able to access and navigate each department at the organization's facilities. Sedentary work that primarily involves sitting/standing. At Abarca we value and celebrate diversity. Diversity, equity, inclusion, and belonging are guiding principles of Abarca and ensure Abarca's workforce reflects the communities it serves. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Abarca Health LLC is an equal employment opportunity employer and participates in E-Verify. “Abarca Health LLC does not sponsor employment visas at this time” The above description is not intended to limit the scope of the job or to exclude other duties not mentioned. It is not a final set of specifications for the position. It's simply meant to give readers an idea of what the role entails. #LI-HYBRID #LI-TA1

Job Description ???? Data Analyst ???? Job Type: Full-Time | Monday to Friday ???? ****************** About WorkSimpli Software WorkSimpli Software LLC is a fast-growing SaaS company based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data into insights and drive smarter decision-making across our products and operations. Position Summary As a Data Analyst, you'll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data that supports strategic decisions across marketing, product development, finance, and leadership. This role is ideal for someone passionate about storytelling through data, curious about product and user behavior, and experienced with extracting insights from complex datasets. Key Responsibilities Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.). Build dashboards and visualizations that provide insight into KPIs, user engagement, and product performance. Identify trends, patterns, and opportunities across platforms like PDFSimpli.com. Work with Product, Marketing, and Executive teams to translate business questions into data questions-and deliver answers. Conduct A/B tests and conversion analysis to support product and marketing optimization. Write reports and present findings in clear, actionable formats. Maintain and enhance data pipelines in collaboration with engineers when needed. Ensure data integrity, consistency, and security. Required Skills & Experience 2-3 years of experience in data analysis, business intelligence, or a similar role. Strong command of SQL for data querying and transformation. Proficiency in Excel and data visualization tools like Tableau, Power BI, or Looker. Experience with Google Analytics, Mixpanel, or similar web/product analytics platforms. Ability to translate complex data into clear insights and actionable recommendations. Excellent communication skills, both written and verbal. Attention to detail and comfort handling large datasets. Bonus / Preferred Skills Familiarity with Python or R for data analysis or automation. Experience working in a SaaS or digital product environment. Understanding of customer behavior metrics, growth funnels, and product performance KPIs. Experience with cloud data warehouses (BigQuery, Redshift, Snowflake). Exposure to A/B testing platforms and methodology. Education Requirements Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related field. Equivalent experience or certifications (Google Data Analytics, etc.) will be considered. Why Join WorkSimpli? Be part of a high-impact SaaS company serving millions of users worldwide Work cross-functionally and directly influence product and business decisions Hybrid work model with flexible schedule (Remote Wednesdays) Health insurance, PTO, and competitive salary + bonus opportunities Culture of collaboration, learning, and innovation

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking PhD students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research. + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision,Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes.Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing. + **Software Engineering & Architectures** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing** : We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering.Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization. + **Operational Readiness & Enablement** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: cloud computing, DevSecOps, software testing, data and AI engineering, project management Positions are available in Richland, Seattle, WA and internships may be supported remotely or on-campus at one of these locations, based on business need. ****HOW TO APPLY**** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: Step 1: Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). Step 2: Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable. **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

***Positions posted by El Comeback are done on behalf of companies that we support in their search for candidates.*** Our client is looking for a Principal Data Scientist-Data Services & Solutions. Salary: Base salary commensurate to candidates experience plus fringe benefits Our Client, a Global Leading Top Fortune Company is offering a unique opportunity to be part of a Global Share services in Puerto Rico. This unique start-up offers a lifetime professional opportunity to obtain a Global experience and exposure working from Puerto Rico. Be part of the Brain and Heart of this Multinational Operations mission of offering solutions through edge technology to their worldwide client base. Contact Careers to become part of an exciting and attractive Global Company without the need to relocate out of Puerto Rico. The Principal Data Scientist is the most senior individual contributor position within this Global Data Operation Organization. This position is the Leader of the scientific design and continuous improvements of global data pipelines, analytics models for Global Data Services & Solutions. This role is responsible for end-to-end data lifecycle. The Principal Data Scientist ensures that Company's Data Products and AI systems performance and operational excellence including data lifecycle management, automation, and optimization. Responsibilities: Serve as the Global Puerto Rico Data Services & Solutions scientific authority for data driven decision intelligence. Develop and execute the enterprise AI and advanced analytics strategy. Design and implement predictive, prescriptive and generative AI models that improve a Global supply chain efficiency. Partnering with data engineers to develop data pipelines workloads and automated monitoring using Databricks, Apache Spark, and /or Delta Lake. Drive innovations by researching and evaluating emerging AI techniques. Owner of the Architect and optimization of data ingestion, transformation and loading of pipelines ensuring the highest standards. Define and execute standards for data modeling, store management, tracing and governance. Collaborate with Data Governance to ensure full compliance with regulations (i.e. GDPR, FDA 21, CFR Part 11, SOC2, ISO 27001). Integrate AI frameworks (XAI, LIME, SHARP) into model designs. Requirements: Master Degree required in Data Science, Computer Science, Applied Mathematics or a related quantitative field. PHD preferred. 8 plus years of experience in data science, data engineering or applied AI. Core platforms & Tools: Databricks (Delta Lake, MLflow), Apache Spark, Azure Synapse Analytics and Kubernetes for AI workloads. Programming languages: Python, SQL, Scala, Java Databases: PostgreSQL, MySQL, SQL Server, NoSQL (Mongo DB, Cosmos DB). Graph technologies: Neo4j and RDF triple store modeling. AI frameworks: Tensor Flow, Py Torch, Scikit-Learn, Keras, XGBoost, Hugging Face transformers. Data Visualization & BI: Power BI, Tableau, Ploty or equivalent. Data Governance: Microsoft Purview, Collibra, or Alation for lineage, Datadog, Grafana, Open Telemetry, Dynatrace or equivalents. Cloud Platforms: Azure, AWS, and Multicloud data architectures. English Proficiency required. ***El Comeback is a non-profit program from ConPRmetidos that attracts and retains professional talent for Puerto Rico-based jobs. Register at elcomebackpr.org/registration-form to get matched with professional opportunities on the island.***

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

We are looking for Data Scientists whose roles and responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyzing the data for information and patterns, developing prediction systems, presenting the data clearly, and proposing solutions and strategies. What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely. We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we're committed to your success. Join us at INVID, where innovation meets support, and together we deliver excellence. Essential Duties and Responsibilities: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Assess the effectiveness and accuracy of new data sources and data-gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Experience: Also, the following experience is required to successfully execute the responsibilities assigned to this position: Experience querying databases and using statistical computer languages: R, Python, SLQ. Experience using web services: Redshift, S3, Spark, Digital Ocean. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, and Facebook Insights. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Other Qualifications: Strong problem-solving skills with an emphasis on product development. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Coding knowledge and experience with several languages: C, C++, Java, and JavaScript. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis. Education: Candidate must hold a master's degree or a Ph.D. in computer science, information technology, statistics, informatics, data science, mathematics, or another quantitative field. They must also have a minimum of 5-7 years of proven work experience in a Data Scientist role, specifically in the technology industry. Other: Must be a U.S. citizen Must be a U.S. Resident Fully Bilingual (English and Spanish) EEO

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. Primary Responsibilities: * Ability to distil criteria for data analysis * Experience analyzing large data sets * Assesses and interprets customer needs and requirements * Use pertinent data and facts to ideate, identify and solve a range of problems within area of expertise * Ability to communicate the outcome of this research in a manner suitable for the intended audience * Examine, assess, and document business operations and procedures to ensure operational efficiency and excellence * Ability to build relationships to increase velocity of concept conversion to identifications * Assesses and interprets customer needs and requirements * Identifies solutions to non-standard requests and problems * Solves moderately complex problems and/or conducts moderately complex analyses * Translates concepts into practice * Provides explanations and information to others on difficult issues * Review top denial reasons for training opportunities, potential rebuttals back to the client, and query enhancements * Create action plan with summary and claim details to ensure that all reporting, training and priority recommendations are delivered to Operation Management * Ensure that training is completed and feedback is received * Ensure that all needed production queries are enhanced accordingly * Other duties may apply * ENGLISH PROFICIENCY ASSESSMENT WILL BE REQUIRED AFTER APPLICATION* You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: * 3+ years of SQL programming with the ability to perform effective querying * 2+ years of health care experience working with healthcare claims data * Mid-level to advanced experience in Excel * Proven analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy * Proven solid written and verbal communication skills with the ability to explain complex data analysis results to non-technical stakeholders * Proven solid attention to detail with a focus on quality and accuracy * Demonstrated exemplary verbal and written communication skills in English * Ability to work 40 hours weekly from Monday to Friday during our regular business hours from 7am to 7pm (Overtime as business needs dictate) Preferred Qualification: * Experience with SQL Server Reporting Services and SQL Server Integration Services At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

Job Description4Renu is expanding our footprint and we are actively looking to fill an Appointment Internship Setter position. This role will educate homeowners on the benefits of going Solar and briefly explain our products and services. If a homeowner is interested, he/she will set up an appointment time for one of our consultants to come discuss our Solar solutions further.NO PREVIOUS EXPERIENCE NECESSARYBenefits: Career growth and advancement opportunities! Positive, growth-centered, competitive work environment! Substantial bonus opportunities! Completely flexible schedule! An incredible support team to help ensure your success! Competitive compensation and incentives! If you are hired, we will provide fully furnished housing. This internship can start in March, April, May, or June and ends at the end of the summer. No intern last summer made less than 10k for the internship. The averages are a lot higher. Appointment Setter Responsibilities: Understand the fundamentals of our products and services Schedule homeowners with a free consultation. Complete ongoing Solar industry training and comply with company policies. Contribute to 4Renu's presence in the industry and represent our brand professionally. Appointment Setter Requirements: No Experience Necessary. Ability to work both independently and in a team setting. Effective and articulate speaking ability. Organized and committed to excellence, with a strong sense of accountability. This is not a remote position. You will be in the field. Are you ready to launch or grow your career in the rapidly growing Clean Energy field? E04JI802g5ep407eg70

At On Point Strategy, we believe that data tells a story - and we make that story visible. We are looking for a Data Analyst who is passionate about transforming information into actionable insights. You will analyze, visualize, and automate data to help our clients and internal teams make smarter, faster, and more strategic decisions. Your work will have a direct impact on how organizations understand performance, identify opportunities, and optimize processes. Key Responsibilities Collect, clean, and analyze data from multiple sources (Excel, SharePoint, Power BI, internal databases, etc.). Design and maintain Power BI dashboards that turn data into clear, actionable insights. Automate reporting processes and ensure data accuracy and consistency. Collaborate with cross-functional teams to identify data needs and deliver analytical solutions. Identify trends, opportunities, and risks through data analysis. Document processes, data flows, and analytical best practices. Technical Requirements Advanced proficiency in Excel (pivot tables, formulas, macros, data cleaning and structuring). Experience with Power BI (data modeling, DAX measures, Power Query, connections, and dashboard design). Intermediate to advanced knowledge of SQL or similar data transformation tools. Familiarity with SharePoint or Microsoft 365 environments. Strong understanding of descriptive, diagnostic, and predictive analysis concepts. Professional Qualifications Bachelor's degree in Statistics, Engineering, Economics, Business Administration, or Data Science. Minimum 2 years of experience in data analysis, business intelligence, or similar roles. Ability to translate complex data into clear visual stories that support decision-making. Strong attention to detail, analytical thinking, and results-oriented mindset. Excellent communication skills for presenting findings to non-technical audiences. Preferred Qualifications Experience with Power Automate or Python for process automation. Knowledge of other visualization tools (Tableau, Looker, Google Data Studio). Interest or familiarity with artificial intelligence applied to business analytics. Why Join Us Be part of a team that combines strategy, analytics, and creativity to turn data into decisions. Work with diverse organizations and contribute to strengthening their analytical capabilities. Grow in an environment that values continuous learning, innovation, and collaboration.

Department Operations Employment Type Full Time Location FDI Clinical Research - San Juan Workplace type Onsite Reporting To Michelle Echeandia Key Responsibilities Skills, Knowledge and Expertise Benefits About Alcanza Clinical Research Alcanza Clinical Research (“Alcanza”) is a national, collaborative network of clinical research sites, founded on the mission to accelerate the development of new therapies by reducing barriers to clinical research participation for all. We conduct research on dozens of conditions in several therapeutic areas including psychiatry, neurology, dermatology, and infectious disease. Our work is important to the patients who participate, the scientists who develop these new therapies, and the entire medical community. Because all approved medications require clinical trials, the impact of your work is exponential, reaching many thousands of future patients and improving their quality of life. Alcanza is a culturally competent organization. We treat each other with dignity, creating an environment where all individuals feel welcome, heard, and respected for their unique perspectives and aspirations. We put considerable effort into finding exceptional employees who mirror the values most important to us: Inclusive, Impactful, Compassionate, and Determined. Alcanza Clinical Research is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, marital status, veteran status, disability, sexual orientation, gender identity or expression, genetic information, or any other category protected by law. We recognize that diversity and inclusion is a driving force in the success of our company.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking Masters students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Software Engineering & Architectures:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing:** We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering. Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization + **Operational Readiness & Enablement:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud computing, DevSecOps, software testing, data and AI engineering, project management. Positions are available in Richland, Seattle, WA and internships may be supported remotely or on-campus at one of these locations, based on business need. ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $20.87/Hr. **Maximum Salary** USD $31.30/Hr.