Data science internship jobs in Arkansas - 79 jobs

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.

ARKANSAS CHILDREN'S IS A TOBACCO FREE WORKPLACE. FLU VACCINES ARE REQUIRED. ARKANSAS CHILDREN'S IS AN EQUAL OPPORTUNITY EMPLOYER. ALL QUALIFIED APPLICANTS WILL RECEIVE CONSIDERATION FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, NATIONAL ORIGIN, AGE, DISABILITY, PROTECTED VETERAN STATUS OR ANY OTHER CHARACTERISTIC PROTECTED BY FEDERAL, STATE, OR LOCAL LAWS. This position has been designated as safety sensitive and cannot be filled by a candidate who is a current user of medical marijuana. CURRENT EMPLOYEES: Please apply via the internal career site by logging into your Workday Account (****************************************** search the "Find Jobs" report. Work Shift: Please see job description for details. Time Type: Part time Department: Summary:Additional Information: The Summer Science Program at Arkansas Children's Hospital in Little Rock, co-sponsored by the Department of Pediatrics at University of Arkansas for Medical Sciences and Arkansas Children's Research Institute, is intended to provide outstanding sophomore-, junior- and senior-level college students with a deep and focused experience in a health-related research project under the guidance of active pediatric health-focused scientists. Research opportunities include laboratory-based experiences in basic and translational biology, clinical investigation, and community-based research projects. Student scholars will spend eight weeks during their summer primarily engaged in a mentored research project, with additional opportunities for touring hospital units and research facilities as well as shadowing physicians and researchers in rounds and clinics. The Summer Science Program hosts a lecture series for participants highlighting elements of biomedical research including research methodology, introductions to academic pediatrics, and sessions exploring post-graduate educational pathways such as graduate school, medical school and other post-baccalaureate training. Student scholars will present the findings of their research projects to other program participants, mentors, and the Arkansas Children's research community at the conclusion of the program. The Summer Science Program offers valuable experience for college students interested in pursuing post-graduate training in biomedical sciences through an M.D., Ph.D., or M.D./Ph.D. program. A competitive stipend is offered to program participants. Limited housing is available, but the costs are not included in stipend support. 2025 Summer Science Program: June 2, 2025 - July 24, 2025 Application Deadline: January 15, 2025 Video Interviews request start the first week of December. This role is 40 hours a week Monday-Friday and the pay is $15 an hour. Required Education:No education requirements Recommended Education:High school diploma or GED or equivalent Required Work Experience:Entry Level - Experience not Required.Recommended Work Experience:Required Certifications:Recommended Certifications:Description 1. Performs procedures directly supervised by qualified/licensed/registered AC team members. 2.Performs and ensures safe, knowledgeable age-specific clinical work appropriate for the department as needed. 3.Completes documentation of patient records and Quality Control processes as needed. 4. Provides patient education and responds to patient and customer concerns as needed. 5. May transport patients to other departments. 6. May provide assistance with holding/positioning patients as needed. 7. May prepare and clean exam rooms. 8. Provides comfort measures as needed. 9. Utilizes appropriate diagnostic equipment and software as needed. 10. Other duties as assigned.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

A Few Words About Us Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Job Description Summary: The incumbent is responsible for enabling the sales organization's achievement of forecast and the OGSM by delivering tactical analytical support to internal team members, to customer groups, and to customer teams. The incumbent independently translates analysis into actionable strategies and tactics by making recommendations on the product assortment, online product pages/brand sites, key insights, and/or promotions in order to enhance sales. The incumbent builds on and incorporates contextual understanding to increase their knowledge base of the selling story. The incumbent is able to marry stakeholder strategy with company strategy in addition to translating learnings across functional lines. The incumbent independently compiles and presents recommendations to decision makers. The incumbent participates in special projects as assigned by the supervisor. Key responsibilities may include, but are not limited to: Responsibilities : • Organizes, analyzes, and draws conclusions from a variety of syndicated data sources such as IRI, Nielsen, and POS to independently discern trends and provide insights-based recommendations. • Optimization of SKU assortment by providing shopper, category, brand and/or customer insights to support a particular strategy or recommendations for customers. • Provides thought leadership and appropriate insights and analytics as needed to enhance sales results. • Assembles and presents insight findings and provide insights-driven recommendations. Crafts data-supported selling stories to drive sales. • Provides analytic support to other internal partners, such as brand and field sales, by providing POS updates, line reviews, promotional reviews, and ad hoc special projects based on the need for in-depth analysis of data or other analytics services. • Responds to customer requests from the assigned area regarding topics such as samples, supply, and order status. • Ensures that data utilized is accurately formed, reported and error-free when devising data sets through careful review and refinement prior to running analytical tests. • Develops, utilizes, and shares best practices to enhance functional efficiency and accuracy of findings and recommendations. • Supports efforts to develop and enhance customer relationships. • Persuades and influences internal teams and the customer to a different perspective through use of compelling data and insights. • Complies with company policy and procedures at all times. Background & Education: • 4-yr degree or equivalent • 3 years prior experience in customer sales or in a consumer products environment desired Required Skills/Abilities: • Ability to independently organize and complete assigned work • Ability to work effectively within a fast-paced, complex matrix, changing environment • Ability to access, assess, interpret and draw accurate conclusions from sales and customer data • Ability to create impactful presentations to explain recommendations and findings of studies • Fundamental platform skills • Strong computer skills, including MS Office Suite applications, database information sources and web applications • Some knowledge of statistical methods desirable Qualifications Background & Education: • 4-yr degree or equivalent • 3 years prior experience in customer sales or in a consumer products environment desired Additional Information Regards, Sweta Verma IT Recruiter Integrated Resources, Inc. “INC 5000's FASTEST GROWING, PRIVATELY HELD COMPANIES” (7th Year in a Row) Direct:- 732 549 5907 Tel: (732) 549 2030 x 210 Fax: (732) 549 5549 sweta(at)irionline.com https://www.linkedin.com/nhome/?trk=nav_responsive_tab_home

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 (**************************************** .

Why Sam's Club MAP? At Sam's Club, we are member obsessed. We look to add value to Sam's Club membership, and we partner with suppliers to bring unique and exciting values to our members. Sam's Club Member Access Platform (MAP) is the nexus of the Supplier -Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with measurable insights. Why MAP MINDS team? The MAP Measurement, Insights and Data Strategy (MINDS) team is part of the Sam's Club Member & Insights Center of Excellence org that is dedicated to supporting the retail media MAP business unit. It is comprised of two key workstreams - Performance Measurement & Insights team and Media Science & Experimentation team. MAP MINDS plays a critical role in MAP's accelerated growth by bringing the power of 1st party deterministic membership data and advanced data science and innovative measurement approaches together to offer trusted data and insights to MAP advertisers and MAP internal teams. What you'll do... What will you do? Business Measurement & Reporting: Collaborate with leaders in Sales and other inter-dependent teams to design, develop, and propose automation and AI solutions for reporting and measurement needs. Own and develop scaled reporting solutions for Sales team needs. Manage reporting collateral, including dashboards, to facilitate teams' understanding of business health and goal achievement levels. Strategy Planning: Address ambiguous strategic questions facing the business and collaborate with leaders across MAP to build business cases for new business initiatives. Ensure smooth execution of these initiatives across diverse cross-functional partners. Develop a profound understanding of MAP's business and how our different ads products, media channels, and sales investments align with our broader strategy. Develop various input and output metrics we will use to evaluate our progress, which will serve as the backbone of our MAP MINDS reporting process. This role will also leverage strong data science skills to develop reporting deliverables, create ad hoc analyses on business results and sales performance, provide insights used to help business planning, develop and deploy ML models and drive process improvement. Special Projects and In-Depth Analysis: Build quick automaton tools to drive quick data synthesis Work with product on robust data analytical asks Act as the primary point of contact for Sales, offering insights into metric movements and trends and providing data-driven insights. Support decision-making by specifying requirements for developing analytic capabilities, platforms, pipelines, and metrics, and then use them to analyze trends and identify root causes. Lead and conduct ad hoc analyses, ranging from creating new metrics to identifying the root causes of revenue fluctuations. Operate independently as the go-to analytics expert for day-to-day business needs. This role requires strong stakeholder management, comfort with ambiguity, attention to detail, and the ability to operate in a fast-paced, entrepreneurial environment. As a staff data scientist, you will uphold high technical standards, deliver consistently, and lead by example. What you'll bring? 5+ years of experience in data science, analytics, or statistical analysis Strong executive presence and communication skills, with the ability to adapt messaging for different audiences Advanced SQL skills for complex data extraction and analysis Design, build, and maintain high-quality dashboards and visualizations using Superset and other BI tools as needed. Experience partnering with data scientists, engineers, and product managers to design, train, test, and deploy ML models Ability to translate ambiguous business problems into clear analytical and ML roadmaps Experience conducting offline evaluations and A/B testing, causality, and communicating results to technical and non-technical stakeholders Experience mentoring junior data scientists and acting as a technical leader Strong ability to gather business requirements, propose solutions, evaluate feasibility, and assess ROI Proven ability to manage multiple priorities independently in a cross-functional environment Familiarity with sales processes and tools (e.g., Salesforce, quota and territory analytics) What are the qualifications? Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 5+ years of relevant work experience. Strong prior experience in retail media and digital / in-store advertising Strong knowledge of Python, SQL, PySpark, Tableau, Machine Learning Libraries, Big Data processing systems in cloud environment is expected. Experience working cross-functionally product and technical teams Experience with large data sets and analytical tools e.g., Spark Sound knowledge of Ad tech and prior Retail Media working knowledge is A track record of building ML models or delivering impactful customer-facing products as tech lead and mentoring early-career data scientists. Comfortable with ambiguity and thrive in an environment with rapid change At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet! -Health benefits include medical, vision and dental coverage -Financial benefits include 401(k), stock purchase and company-paid life insurance -Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** - Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Bentonville, Arkansas US-09930: The annual salary range for this position is $110,000.00 - $220,000.00 San Bruno, California US-08848: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). ㅤ ㅤ ㅤ ㅤ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Are you interested in working with the World's leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest! We are looking for a Data Scientist in QE to join our growing team in Argentina/México! Role - Data Scientist in QE Location - Remote from Argentina/México This hybrid role combines the rigor of software testing with the creativity of data science to ensure the accuracy, reliability, and performance of our data-driven products. You'll design automated testing frameworks, validate machine learning models, and collaborate with cross-functional teams to uphold the highest standards of data quality and model integrity. Key Responsibilities: Develop and maintain automated testing frameworks for data pipelines and machine learning models. Design and execute test cases to validate statistical models, algorithms, and data transformations. Monitor data quality, detect anomalies, and ensure consistency across datasets. Collaborate with data scientists, engineers, and QA teams to define test strategies and acceptance criteria. Perform exploratory data analysis to uncover hidden issues in data or model behavior. Leverage real world data and build synthetic datasets to simulate edge cases, stress-test models, ensure unbiased predictions, and verify data security Coordinate with end users to run human in the loop and A/B tests Document test results, bugs, and performance metrics to support continuous improvement Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 3+ years of experience in data science and AI/ML testing Proficiency in Python, SQL, and testing frameworks (e.g., PyTest, unittest). Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost). Strong understanding of statistical testing, model validation, and data integrity principles. Familiarity with CI/CD pipelines and version control (e.g., Git, Jenkins). Preferred Skills: Experience using Oracle AI Data Platform / Oracle Cloud Infrastructure (OCI) including Medallion architecture Strong mastery of SQL Knowledge of MLOps and model monitoring tools Familiarity with Azure Dev Ops (ADO) for test management Excellent communication and documentation skills. Intrigued to find more about us? * Visit our website at ******************************* If you like what you have read, send us your resume and let's start talking!

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

Full-Time Position Posted 11/04/2025 The Advancement Data and Scholarship Coordinator plays a key role in maintaining the integrity of donor and scholarship data, supporting strategic advancement projects, managing the stewardship database, ensuring smooth operations across advancement initiatives, and collaborating with other departments at JBU. It requires a detail-oriented, mission-driven professional who thrives in a fast-paced environment and enjoys working with both people and data. Full-time position, on-campus, Monday-Friday, 8:00 a.m.-5:00 p.m. Role qualifications * Exceptionally detail-oriented, with strong skills in setting and achieving goals, managing multiple priorities, and meeting deadlines with consistency and accuracy * Demonstrates a servant-leader attitude characterized by professionalism, creativity, teamwork, and self-motivation with a genuine desire to serve others * Ability to foster goodwill among students, staff, faculty, and the broader community * Committed to confidentiality and alignment with the university's mission * Commitment to the Articles of Faith, Mission, and Objectives of JBU; and desires to be a role model for students by demonstrating an active Christian faith in personal example and in work-related responsibilities Position responsibilities * Maintain and analyze scholarship and donor data to ensure accuracy and compliance. * Oversee donor stewardship activities to ensure timely and meaningful engagement. * Create and review scholarship reports and donor stewardship materials. * Manage the CRM and process for student thank-you notes. * Ensure scholarship awards adhere to donor restrictions and institutional policies. * Prepare segmented mailing lists and customized reports for advancement initiatives. * Assist with data tools supporting the innovation of the advancement division. * Maintain and manage donor lists to support cultivation, solicitation, and recognition efforts. * Manage special projects for University Advancement. * Support emerging departmental needs as responsibilities evolve Essential skills and experience: * Proficiency in Microsoft Office and familiarity with CRM systems such as RE NXT * Highly organized with a strong focus on accuracy and confidentiality * Ability to work collaboratively and build positive relationships with students, faculty, and donors * Skilled in problem-solving and implementing practical solutions independently and within a team * Comprehensive understanding of fundraising and scholarship processes, or a demonstrated commitment to learning these areas to inform strategy and decision-making * Experience in writing, graphic design, and project management are desirable Education Bachelor's degree. Physical demands and work environment * Physical demands: While performing the duties of this job, the employee is frequently required to walk; stand; sit; use hands; reach with hands and arms; balance; stoop; talk, and hear. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. * Work environment: The noise level in the work environment is usually minimal. About JBU Information describing the university is available online. Apply To apply, please upload the following documents to the "Upload Your Documents" page: * Cover Letter * Your resume * A completed and signed staff employment application (Click Here to Access the Application) Contact information: Office of Human Resources John Brown University 2000 West University Street Siloam Springs, AR 72761 Phone: ************ e-mail: ************

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System will also view open positions and apply within Workday by searching for “Find Jobs for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 01/24/2026 Type of Position:Researchers Job Type:Regular Work Shift:Day Shift (United States of America) Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and Sick Leave Education discount for staff and dependents (undergraduate only) Retirement: Up to 10% matched contribution from UAMS Basic Life Insurance up to $50,000 Career Training and Educational Opportunities Merchant Discounts Concierge prescription delivery on the main campus when using UAMS pharmacy Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. For general application assistance or if you have questions about a job posting, please contact Human Resources at ***********************. Department:ACHI | Analytics Department's Website: **************** Summary of Job Duties:The Intermediate Data Analyst for the Arkansas Center for Health Improvement (ACHI) will be part of a dynamic team contributing to, and with the ability to lead analytic research projects. In collaboration with the Director of Analytics, Assistant Director of Analytics, principal investigators, and other ACHI staff, the analyst will develop and implement advanced data and statistical analytics using private and public health care data to inform research and analytics on important health policy questions. Qualifications: Minimum Qualifications Bachelor's Degree plus three (3) years of experience in data analytics, health services research, mathematics, or related field OR Master's Degree plus one (1) year experience in data analytics, health services research, mathematics, or related field Knowledge, Abilities, and Skills Manipulation of large datasets using statistical programming or advanced data management software, such as such as SAS and SQL. Use of Microsoft Office reporting products such as Word, PowerPoint, and Excel. Self-motivated to learn and explore new and existing ideas. Think critically and strategically. Work well independently and in a team environment. Manage and prioritize multiple tasks/projects. Work efficiently and meet deadlines. Communicate well both verbally and in writing. Preferred Qualifications: Base or Advanced SAS certification. Experience manipulating and analyzing administrative claims. Demonstrable ability to write efficient code and think logically. Use of advanced SAS functions to manipulate dates to create time-dependent analytical variables. Knowledge and use of national data sources (e.g., ACS, HCUP, MEPS). Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping. Knowledge of Medicaid eligibility, Medicaid/Medicare claims, health disparities, or chronic diseases. Knowledge of ICD-9/10 Diagnosis, ICD-9/10 Procedure, CPT, HCPCS, DRG/MS-DRG, NDC, Type of Service, Place of Service and other codes commonly utilized in health care data sets. Additional Information: RESPONSIBILITIES: Programming and Analyses Work with the Assistant Director of Analytics to develop complex and efficient data analytics to manipulate health care data to create research-ready datasets for empirical analyses. Import and integrate large, complex longitudinal datasets from a variety of sources to produce unified research-ready, analytic datasets. Import and integrate large, complex datasets using SAS, including administrative claims data and enrollment files from a variety of insurance payers. Collaboration with others Collaborate with research and analytic team as well as across teams on translating research and analytic questions into initial analytic plans based on research and analytic questions. Technical Writing Work with the Assistant Director of Analytics to create written data analytic plans with detailed data management procedures to transform health care data into research-ready analytic datasets. Draft methodological sections of technical reports following accepted protocols. Maintain detailed programming documentation for all projects, including annotated program code, dataset codebooks, and statistical output. Salary Information: Commensurate with education and experience Required Documents to Apply: Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title), Resume Optional Documents: Proof of Veteran Status Special Instructions to Applicants:Professional references must be a previous manager/supervisor. Applicants selected for interview may be required to take a Basic Excel Assessment and SAS Skills Assessment Recruitment Contact Information: Please contact *********************** for any recruiting related questions. All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Pre-employment Screening Requirements:Criminal Background Check This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law. Constant Physical Activity:Hearing, Manipulate items with fingers, including keyboarding, Sitting, Standing, Talking Frequent Physical Activity:N/A Occasional Physical Activity:N/A Benefits Eligible:Yes

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.

One of our direct client is urgently looking for a Data Analyst @ Bentonville AR TITLE: Data Analyst Duration: 6 to 12+ Months Rate: DOE Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed. Create resilient, and sustainable and Data Object Designs and Data Quality Rules. Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customers • Analyze complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required. • Collect customer requirements, determine technical issues, conduct analytics, and report insights and findings to executives and engineering teams. • Identify new sources of data and methods to improve data collection, analysis, and reporting. Collect, analyze, and report data to meet customer needs. • Evaluate various analytical/statistical methods and procedures and provide recommendation of relevance, applicability, efficiency to Walmart Catalog and Supply areas • Work with cross functional group consisting of Engineering, Product, Program managers to drive data-based decisions Your Qualifications • Bachelor's degree in computer science or related discipline with 4+ years' experience • Practical experience with SAS, ETL, data processing, database programming and data analytics • Proficient is Sql and no-sql languages, R, Python • Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big data on GCP and Azure. • Handled multi-million records of data. Troubleshooting and fixing data issue • Data Visualization in any BI tools like Tableau, PowerBI, etc., • Collected, analyzed, and reported data to meet customer needs. • Understanding and application of statistical concepts to solve business problems

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. IT Business Analyst Internship Internship Duration: Summer 2026; June 1st - August 7th, 2026 Position Summary This intern position provides a thorough introductory role into the IT Analyst function at Simmons Bank. The intern will gain experience with many aspects of IT and bank processes, especially at the data and software application level. This position offers excellent opportunities for the individual to develop their communication and technical skills in a fast paced, innovative environment. Essential Duties and Responsibilities Work directly with IT and other Business Units to analyze application and platform functionality Identify system requirements and specifications, prepare documentation standards for testing, implementation, integration, or enhancements Actively participate in implementation and user acceptance testing process Participate in AGILE work programs, including sprint planning, SDLC methodologies, software coding and testing Provide end-user support, researching issues, interaction with software/hardware vendors Ensure practices align with documented department standards, best business practices, applicable laws, and regulations Participate in decommissioning process of retired or legacy systems Perform other duties as assigned Follow sound and proven development practices and software development life cycle methodologies throughout the product development. Troubleshoot and debug applications. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Ability to read and comprehend simple instructions, short correspondence, and memos. Computer skills including MS Office products, i.e. Word, Excel, PowerPoint, SharePoint, Teams Programming Languages: C#, .Net, Java, SQL Working knowledge of SQL, RDBMS, and NoSQL-type database management systems. Ability to write routine reports, simple-to-business correspondence, and procedures. Ability to effectively speak, respond to questions, and present information to the following: one-on-one /small groups, and managers. Education and/or Experience Pursuing a degree in Computer Science, Information Technology, Management Information Systems, or related field. Certificates, Licenses, Registrations None Other Qualifications (including physical requirements) Strong oral and written communication skills. Strong organizational, problem solving, and planning skills with the ability to set priorities. Must possess excellent telephone and customer service skills. Other Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Activities, duties and responsibilities may change at any time with or without notice. Equal Employment Opportunity Information: Simmons First National Corporation and its subsidiaries are committed to a policy of equal employment with respect to a person's race, color, religion, sex, ancestry, sexual orientation, gender identity, national origin, covered veterans, military status, physical or mental disability or any other legally protected classifications.

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. Key Responsibilities: Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast. Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting. Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts. Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions. Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines. Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray). Act as technical lead on multiple projects, balancing research rigor with business delivery. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Strong foundation in Causal Inference, Statistical Analysis, and advanced Machine Learning methods Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios. Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions. Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries. Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods). Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring. Timeseries forecasting - will be working on it but can learn on the job

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

**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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

A Few Words About Us Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Job Description Summary: The incumbent is responsible for enabling the sales organization's achievement of forecast and the OGSM by delivering tactical analytical support to internal team members, to customer groups, and to customer teams. The incumbent independently translates analysis into actionable strategies and tactics by making recommendations on the product assortment, online product pages/brand sites, key insights, and/or promotions in order to enhance sales. The incumbent builds on and incorporates contextual understanding to increase their knowledge base of the selling story. The incumbent is able to marry stakeholder strategy with company strategy in addition to translating learnings across functional lines. The incumbent independently compiles and presents recommendations to decision makers. The incumbent participates in special projects as assigned by the supervisor. Key responsibilities may include, but are not limited to: Responsibilities : •Organizes, analyzes, and draws conclusions from a variety of syndicated data sources such as IRI, Nielsen, and POS to independently discern trends and provide insights-based recommendations. • Optimization of SKU assortment by providing shopper, category, brand and/or customer insights to support a particular strategy or recommendations for customers. • Provides thought leadership and appropriate insights and analytics as needed to enhance sales results. • Assembles and presents insight findings and provide insights-driven recommendations. Crafts data-supported selling stories to drive sales. • Provides analytic support to other internal partners, such as brand and field sales, by providing POS updates, line reviews, promotional reviews, and ad hoc special projects based on the need for in-depth analysis of data or other analytics services. • Responds to customer requests from the assigned area regarding topics such as samples, supply, and order status. • Ensures that data utilized is accurately formed, reported and error-free when devising data sets through careful review and refinement prior to running analytical tests. • Develops, utilizes, and shares best practices to enhance functional efficiency and accuracy of findings and recommendations. • Supports efforts to develop and enhance customer relationships. • Persuades and influences internal teams and the customer to a different perspective through use of compelling data and insights. • Complies with company policy and procedures at all times. Background & Education: • 4-yr degree or equivalent • 3 years prior experience in customer sales or in a consumer products environment desired Required Skills/Abilities: • Ability to independently organize and complete assigned work • Ability to work effectively within a fast-paced, complex matrix, changing environment • Ability to access, assess, interpret and draw accurate conclusions from sales and customer data • Ability to create impactful presentations to explain recommendations and findings of studies • Fundamental platform skills • Strong computer skills, including MS Office Suite applications, database information sources and web applications • Some knowledge of statistical methods desirable Additional Information Contact- Tel: (732) 549 2030 x 210 Sweta Verma

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. Key Responsibilities: Lead high-caliber team to build large-scale Genai systems Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale applications Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems. Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models. Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment. Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools. Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc. - Experience with Big Data processing and feature engineering using Spark - Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU