Data science internship jobs in Arkansas

We are seeking an experienced Lead Manufacturing Engineer (Level 5) to join our Statistical Process Control (SPC) & Data Analytics team. The ideal candidate will be highly skilled in data analytics, Power BI dashboard development, and Power Apps creation to support manufacturing optimization and automation. This role requires strong expertise in data mining, linking datasets in Power BI, and designing analytical tools that enhance decision-making and operational efficiency. Key Responsibilities Lead the creation, development, and deployment of advanced Power BI dashboards to deliver actionable insights. Design, develop, and implement Power Applications to streamline and automate manufacturing workflows. Execute data mining and establish automated data relationships in Power BI to support reporting and process optimization. Utilize Statistical Process Control (SPC) methods for monitoring and improving manufacturing processes. Partner with cross-functional teams to identify data analytics needs and deliver effective solutions. Maintain detailed documentation of analytics tools, processes, and best practices. Mentor junior engineers in data analytics, Power BI, and Power Apps development. Present technical findings to both technical and non-technical stakeholders clearly and effectively. Lead complex projects with minimal supervision. Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field. Minimum 9 years of experience in Manufacturing Engineering or a related technical area. Proven experience in data analytics and Power BI dashboard development. Expertise in Power Applications design and deployment. Strong skills in data mining and building automated data relationships in Power BI. Extensive experience with SPC methodologies. Excellent analytical, problem-solving, and communication skills. Proficiency with MS Office tools (Excel, PowerPoint, Word). Ability to work independently and lead large-scale, complex projects. Demonstrated experience in mentoring and guiding junior engineers. Desired Qualifications Master's degree in Engineering or Computer Science. Knowledge of Snowflake or other database management systems. Familiarity with Lean Manufacturing and Six Sigma methodologies. Experience with additional analytics tools such as Minitab, JMP, or Inductive Automation platforms.

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

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. Position Summary: The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data company transforming how the industry understands and consumes healthcare data. We are accelerating and looking for a Healthcare Data Analyst to join our team. This position focuses on healthcare data profiling and analysis tasks that require quantitative reasoning skills, knowledge of tools and technologies used in data analysis, and an interest in the US healthcare industry. This person's primary duty will be to work with our consultants and healthcare analytics team by researching healthcare analytics inquiries, onboarding new data sources and supporting daily operations of the MedInsight business intelligence solution. Primary Responsibilities: Work both independently and in a cross-functional team environment. Write complex SQL queries to support analytics needs. Develop, maintain, and support processes for data feasibility tests, data quality checks, data validations, and sense-checking of results. Monitor data quality, troubleshoot, and resolve data issues to ensure data integrity. Develop technical specifications for analyses of healthcare data. Support documentation of analysis results and methodologies. Capture, develop, and document data definitions, business rules, and data quality requirements. Perform ad hoc analyses of healthcare data using SQL Server, Azure Databricks, and other tools. Conduct data analysis to support various analytic solutions. Create and produce reports and other deliverables, such as ad hoc requests, dashboards, etc. Create accurate work products and meet task and project deadlines. Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities. Investigate client questions and participate in discussions with clients. Write code while adhering to programming best practices for code clarity and efficiency. Review, research, and summarize data validation artifacts. Develop reports and deliverables for management. Work independently on assigned tasks, i.e., plan, organize, problem solve and meet established deadlines. Manage multiple priorities in a fast-paced environment. Prioritize work under time pressure. Follow-through and exceptional attention to detail on all project tasks are essential. Identify and define both process and data improvements. Communicate seamlessly within the team. Enhance knowledge through continuous learning and challenging project assignments. Follows Quality Risk Management (QRM) guidelines and MedInsight policies.â Acts in accordance with MedInsight core valuesâ . Preferred Skills and Experience: Candidates must be team players with excellent interpersonal skills. They must also have some experience/ familiarity with data analysis using large data sets. Experience with healthcare datasets is a significant plus. Education/experience: Bachelor's degree in healthcare, business, science, mathematics, economics, informatics, or related field Programming Experience: Experience with Microsoft SQL Server, Python, PySpark, Databricks, T-SQL, or other scripting skills. Skills: Experience coding in SQL or similar language Strong analytical ability Healthcare data knowledge Knowledge of business intelligence, data warehousing, and relational databases Microsoft Excel Effective oral and written communication Punctual and reliable Team player with positive and energetic attitude What makes this a great opportunity? Join an innovative, high growth company with a solid industry track record Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions Enjoy significant visibility in your work and be recognized for your wins Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career Location This is a remote role. The expected application deadline for this job is August 31, 2025. Compensation The overall salary range for this role is $54,900 - $102,120. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $60,390 - $93,610. New York City, Newark, San Jose, or San Francisco the salary range is $65,880 - $102,120. All other locations the salary range is $54,900 - $85,100. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Milliman Benefits: We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision Coverage for employees, dependents, and domestic partners. Employee Assistance Program (EAP) Confidential support for personal and work-related challenges. 401(k) Plan Includes a company matching program and profit-sharing contributions. Discretionary Bonus Program Recognizing employee contributions. Flexible Spending Accounts (FSA) Pre-tax savings for dependent care, transportation, and eligible medical expenses. Paid Time Off (PTO) Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays A minimum of 10 paid holidays per year. Family Building Benefits Includes adoption and fertility assistance. Paid Parental Leave Up to 12 weeks of paid leave for employees who meet eligibility criteria. Life Insurance & AD&D 100% of premiums covered by Milliman. Short-Term and Long-Term Disability Fully paid by Milliman. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. #LI-SM1 Apply

**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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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

Do you love diving into data sets? Would you enjoy telling consumer-based stories and helping others see the benefit of data-based decision-making? We are looking for individuals who are effective communicators, ambitious, and able to drive insights into actions that improve P&G's business results. In this role you will gain practical hands-on experience with industry leading analytical tools and technologies. Your passion for Analytics and Insights will be nurtured by our culture of continuous learning and growth. A full-time employee in this role would perform these responsibilities over the course of a 1.5-2-year assignment. As an intern, you will experience a subset of these responsibilities over a 3-month internship: Mine multiple sources of data, derive impactful insights, and translate sophisticated results or algorithms into simple conclusions that empower the business to act and win with consumers! You deliver insights that will educate and influence key business decision-making with our Customer and Brand teams. Day-to-day projects typically revolve around the following: + Communicating effectively across team members to align plans and solve problems + Delivering real time insights and influence key business decisions Location: P&G Headquarters (Cincinnati) and Various U.S. Customer Business Centers (************************************************************** (Boston, Cumberland, Fayetteville, Mason, Minneapolis, Virginia Beach, etc.) Duration: 12 Weeks Job Qualifications You are a good fit for this role if you: + Students graduating Winter 2026 or Spring 2027. + In process of obtaining a BS or MS in MIS, Computer Science, Industrial or Computer/Systems Engineering, Information Security, Applied Math, Statistics, Operations Research, Analytics, (or like degrees). + Proven use of technology to add business value. + Adept at using Analytics technologies and tools for solving ad hoc business problems, innovating on potential future solutions, and working with technology to translate your innovations into robust, scaled, analytic solutions and actionable insights. + Excellent written and verbal communication skills to influence others to act + Possess strong thinking/problem-solving skills which can be applied to business processes with a "can-do" attitude + Proven capability to balance multiple priorities + Willingness to be geographically mobile - both during and after the internship - as we have roles across the United States. Application Process & Interview Preparation: To learn more about our hiring process, including assessments, interviews, and helpful tips for success, visit: P&G Hiring Process - What to Expect (*********************************************** We Value Equality and Inclusion: Our consumers are diverse - and we believe our talent should reflect that to serve them best. P&G is committed to creating a winning culture built on inclusion, where every voice is heard and valued. We're looking for candidates who are passionate about this same principle and want to contribute to our daily mission to be "in touch" with consumers through innovative ideas and inclusive strategies. Compensation & Additional Information: Compensation for roles at P&G varies based on non-discriminatory factors such as location, role, experience, and education. Total rewards include salary, potential bonus, and a comprehensive benefits package. Your recruiter can provide more detail about the total rewards and applicable salary range during the interview process. + Equal Opportunity: P&G is an equal opportunity employer. We do not discriminate based on race, color, gender, age, religion, national origin, sexual orientation, gender identity/expression, marital status, disability, veteran status, or any other legally protected status. + Immigration Sponsorship: Not available for this role. For eligibility and work authorization FAQs, please click here (******************************************************* . + E-Verify: Procter & Gamble participates in e-verify as required by law. + Unemployment Status: Qualified individuals will not be disadvantaged based on being unemployed. About Procter & Gamble (P&G):We're home to iconic brands like Tide , Pampers , Gillette , and Crest , with operations in 70+ countries. At P&G, we grow leaders from within-starting with our interns. Ready to start your journey with Procter & Gamble?Visit PGCareers.com to learn more and apply. Job Schedule Full time Job Number R000137235 Job Segmentation Internships Starting Pay / Salary Range $29.00 - $50.00 / hour

The successful individual will be responsible for the analysis of production and performance data and for defining the interrelationship between key input data and output data with a goal to improve product performance and production yield. The individual will develop statistical models and trends and communicate actions to improve overall product quality. The successful individual will be responsible for enhancing data quality within the company and supporting the product development team in implementing a comprehensive, data-driven strategy. The successful individual must have a passion for statistical data analysis, working with large data sets, and experience in managing data quality standard processes. The Data Analyst will produce custom and standard reports while using the most current data analysis tools to make recommendations for process and product improvements. This role will be responsible for researching and analyzing data to help the company make informed decisions about product and process design and control. Job duties will require a variety of skills, including analytical, research, and communication skills to perform the job duties. **Responsibilities** + Collaborate with database developers and data engineers to improve data collection and storage processes. + Use all data analysis tools to identify trends and patterns in product and production performance. + Make recommendations for process improvements based on data analysis. + Collaborate closely with other members of the engineering and manufacturing quality team to ensure that data is accurate and up to date. + Develop and maintain reports related to product manufacturing and performance. + Participate in cross-functional teams to support strategic initiatives. + Document processes and maintain data records. + Assist in defining new and refining existing processes and procedures. + Prepare and present results of analysis to customers as required. + Additional responsibilities as needed to support the team and company goals. **Qualifications** Educations, Experience, Certifications + Bachelor's degree with emphasis on statistics, mathematics, operations research, data science, or other quantitative disciplines. + At least 3 years of experience in data analysis, data engineering or related roles. + 3 to 5 years' experience in statistical analysis, preferably in a manufacturing or production environment. + Experience with experimental design (DOE), modeling, and working with real data sets to solve business problems with data analysis. + Excellent Microsoft Excel, PowerPoint, and Access skills, or other related software preferred. + Six Sigma certification preferred. + Project Management training. Competencies, Skills, Knowledge: + Ability and skillset to deploy machine learning models into real time production environments would be useful. + Working knowledge of SPSS, SAS, or other statistical analysis software. + Programming in R/ Python/ SQL; Data Visualization tools - Tableau/Microsoft Power BI + Must be proficient with spreadsheets, database, and statistical software, including machine learning. + Attention to detail and ability to identify and troubleshoot data issues. + Must be able to work independently and in a collaborative environment on multiple projects. + Strong analytical and critical thinking skills. + Ability to grasp data and business issues and interpret analytical findings from a business perspective. + Results-oriented and driven for success. + Strong verbal/written communication and people skills. Communicate complex data in simple, actionable ways. + Data Visualization, Data Science, Data Infrastructure + High energy level and ability to interface at all levels across the business. + Team dynamics and group motivation skills + Highest ethical standards and practices. + Comfortable with working in a manufacturing environment. Environment & Physical Demands + This position requires you to be on site at our Alpharetta, GA headquarters office. + Must be able to sit for extended periods while performing desk-based tasks and occasionally stand or move around the office as needed. Travel + Occasional travel may be necessary to fulfill business needs and support various projects and initiatives. **EEO Statement** Stryten Energy is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. **About Statement** Stryten Energy helps solve the world's most pressing energy challenges with a broad range of energy storage solutions across the Essential Power, Motive Power, Transportation, Military and Government sectors. Headquartered in Alpharetta, Georgia, we partner with some of the world's most recognized companies to meet the growing demand for reliable and sustainable energy storage capacity. Stryten powers everything from submarines to subcompacts, microgrids, warehouses, distribution centers, cars, trains and trucks. Our stored energy technologies include advanced lead, lithium and vanadium redox flow batteries, intelligent chargers and energy performance management software that keep people on the move and supply chains running. An industry leader backed by more than a century of expertise, Stryten has The Energy to Challenge the status quo and deliver top-performing energy solutions for today and tomorrow. Learn more atstryten.com. **Job Locations** _GA-Alpharetta | AR-Fort Smith_ **Requisition ID** _2025-5050_ **Category** _Engineering_ **Position Type** _Regular Fulltime_ **Address** _5925 Cabot Parkway_ **_Postal Code_** _30005_ \#stryten

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

About Us At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of experience, we are a pillar of stability in the energy infrastructure industry and a leader in innovative energy solutions. Our commitment to leveraging emerging technologies ensures that we remain at the forefront of the Energy-as-a-Service sector. We believe in growth-not just for our business, but for our people. Our team members have the opportunity to advance their careers in a supportive environment that values continuous learning and development. We embrace innovation and encourage creative problem solving to tackle the energy infrastructure and energy challenges of tomorrow. Inclusion is at the heart of our culture. We strive to create a workplace where every voice is heard and valued, fostering a collaborative environment where diverse perspectives drive our success. Join us to be part of a legacy of excellence and a future of groundbreaking advancements. At ENFRA, stability, innovation, and growth are more than just values-they are the pillars of our continued success. Overview The Data Analyst II is responsible for helping various departments gather, document, and analyze business requirements, processes, and workflows. They will work closely with project managers, developers, and process owners to ensure business data and reporting needs are met and projects are delivered successfully. Data Analyst II is responsible for advanced data management, analysis, and reporting to support IS - Development process data and Commercial Operations. This role ensures data integrity, optimizes data workflows, and enhances reporting capabilities through expert use of SQL and other analytical tools. The analyst will lead efforts in data validation, troubleshooting, and continuous improvement of data systems and documentation. They will also be responsible for identifying areas for process improvement, recommending solutions to enhance operational efficiency and effectiveness, and disseminating results in meaningful ways to multiple audiences through summary reports and dashboards. Responsibilities Lead the maintenance and enhancement of datasets, reports/KPIs, and the Data Hub to ensure accuracy, consistency, and timeliness. Conduct complex data audits and implement corrective actions to uphold data integrity across systems. Design and execute data validation protocols and quality checks for workflows, dashboards, and reports. Develop and optimize SQL queries for data extraction, transformation, and reporting. Create and maintain advanced reports and visualizations using tools such as Power BI to support business decision-making. Collaborate with cross-functional teams to define data access rules, security protocols, and governance standards. Document and improve data templates, workflows, and associated processes to support scalability and efficiency. Mentor junior analysts and contribute to team knowledge sharing and best practices. Evaluate the potential impact of proposed process changes, analyzing how modifications may affect existing operations and systems, while offering mitigation strategies. Document and create clear and comprehensive business process flows and detailed requirements, ensuring transparency and traceability throughout project lifecycles. Offer technical support in handling complex processes, systems, software, and various technical elements. Develop technical documentation while interfacing with users, providing necessary support, and training as required. Apply suitable methodologies and tools for the completion of tasks, ensuring compliance with organizational standards and requirements pertinent to specific assignments. Qualifications Required Education, Experience, and Qualifications Five years of experience solving computer, business, scientific, engineering, policy/compliance, or other discipline system/process problems. Demonstrated track record of successfully analyzing data, gathering requirements, and providing valuable insights and solutions to support business decision-making. Experience working on ETL/ELT software platforms such as SSIS, Azure Data Factory or Fabric Competence in using various data analysis/reporting tools, such as Excel, Power BI, DAS, or other relevant software. Proven expertise in SQL and relational database management. Strong attention to detail and commitment to data accuracy and integrity. Advanced analytical and problem-solving skills with the ability to interpret complex datasets. Excellent communication skills to interact with cross-functional teams, articulate complex information to diverse stakeholders, and present findings in a clear and understandable manner. Bachelor's degree in computer science, Information Systems, Engineering or other applicable discipline. Preferred Education, Experience, and Qualifications Engineering Industry Experience Travel Requirements 0-5% of the time will be spent traveling to the job site(s)/office locations. Physical Activities Climbing stairs. Repeating motions that may include the wrists, hands and/or fingers Remaining in a stationary position, often standing or sitting for prolonged periods Environmental Conditions Quiet environment Physical Demands Light work that includes adjusting and/or moving objects up to 20 pounds ENFRA is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and Individuals with Disabilities, and participates in the e-Verify program. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, age, sexual orientation, gender identity, national origin, veteran status, disability, or any other classification protected by law.

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: ************

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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

Art and Wellness Enterprises (AWE) is a professional services organization supporting non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges Foundation, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute. Job Description: Job Title: Data Analyst, AI and Automation Focus Reports to: Associate Vice President, Technology FLSA Classification: Exempt Location: Bentonville, Arkansas (On-site) Art and Wellness Enterprises (AWE) supports operating non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute. About The Position The Data Analyst, AI and Automation Focus supports data-driven initiatives across AWE by organizing, manipulating, and analyzing large datasets. This role is responsible for using artificial intelligence (AI) tools and automation to improve internal processes, enhance decision-making, and support various projects across the ecosystem. Key responsibilities include data wrangling, building data pipelines, and developing automation scripts that streamline workflows and improve efficiency. The analyst also assists with integrating AI models into internal processes and supports the development of reports, dashboards, and data visualizations that deliver actionable insights to internal teams. The role requires a strong foundation in data analytics, hands-on experience with Python and SQL, and familiarity with AI and automation tools. It also involves collaboration with cross-functional teams and has the opportunity to contribute to innovative projects that drive strategic growth within the organization. Success in this role requires technical aptitude, a passion for problem-solving, and the ability to thrive in a dynamic, fast-paced environment. Essential Duties and Responsibilities Clean, validate, and structure raw datasets from diverse internal and external sources to ensure data accuracy and usability. Write and optimize SQL queries to extract, manipulate, and summarize data from multiple data sources for reporting and analytics purposes. Develop simple automation scripts and data tools using Python (such as pandas, NumPy, or similar libraries) to automate and streamline processes and improve data handling efficiency. Assist in building workflows that integrate AI models (e.g., LLMs or classifiers) into business processes to support automation and data-driven decision-making. Support the creation and maintenance of reports, dashboards, and data visualizations that deliver insights to business teams across the organization. Help document data processes, techniques, and workflows to build a growing library of reusable scripts and resources, for ongoing team reference and knowledge sharing. Collaborate with cross-functional stakeholders to identify and resolve data-related challenges and proactively suggest improvements where applicable. Stay up to date with industry trends in AI, machine learning, and data analytics, and bring new tools and techniques into the organization to improve performance. Other duties as assigned. Qualifications and Requirements Bachelor's degree in data science, statistics, computer science, or a related field preferred. 0-2 years of experience in data analytics, data science, or equivalent internships/projects. Experience in complex organizations, such as healthcare, higher education, museum/cultural institutions, nonprofits, or multi-entity structures, is preferred. Demonstrated proficiency in Python and SQL. Academic or project-based experience is welcome. Familiarity with data souring and preparation using formats such as CSV, JSON, or APIs. Working knowledge of AI/ML tools and frameworks is desirable. Ability to approach complex data problems with a critical mindset and come up with innovative, efficient solutions. Experience handling large datasets with attention to data integrity, structure, and accuracy. Strong communication skills, including the ability to translate complex data into clear actionable insights, document processes, and present findings effectively to both technical and non-technical stakeholders. Excellent customer service skills with the ability to handle competing demands professionally and efficiently. Good organizational skills with the ability to prioritize tasks and manage time effectively. Skilled in multitasking and critical thinking in a fast-paced environment where change is constant. Practical problem-solving and troubleshooting skills, with attention to detail. Ability to work independently and collaboratively as part of a team. Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). Familiarity with Jupyter Notebooks, dbt, Snowflake, or similar tools is a plus. Experience with prompt engineering or interaction with LLMs (e.g., OpenAI, Hugging Face) is a plus. Exposure to data visualization tools (e.g., Looker, Tableau, or PowerBI) is a plus. High level of professional integrity and the ability to handle sensitive and confidential information with discretion. Physical Demands and Work Environment The physical demands and work environment characteristics described here are representative of those required by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. Physical Demands: In the work environment described, the position requires utilizing a computer and a telephone for prolonged periods of time and good eye/hand coordination, bending and stretching, and physical stamina to lift and transport a minimum of 25 pounds. Visual acuity to review written materials is required for this job. Work Environment: Work is performed full-time (Monday-Friday, 8 a.m.-5 p.m.) in a professional, climate-controlled office environment with standard office equipment, including computers, printers, and telephones. This role requires working in an open setting near colleagues. The noise level is typically low to moderate. The role also requires regular interaction with both the public and internal team members in a professional and courteous manner. Some local travel may be required, and a flexible schedule may be necessary to accommodate business needs, including occasional evening and weekend work hours. Art and Wellness Enterprises, LLC is an equal opportunity employer committed to building and maintaining a workplace that is free of discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. All offers of employment are contingent on your successful completion (where permitted by state law) of a confidentiality agreement and a background check. In addition, you will need to provide proper identification verifying your eligibility to work in the United States.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Objective of the Job This position focuses on problem solving by implementing actionable data-driven business solutions, predicting emerging trends, and providing recommendations to stakeholders through data analysis and modeling. Duties and Responsibilities Uphold high integrity while supporting Safety, Environmental, and Quality Systems. Identify business use cases in consultation with stakeholders, peers, and supervisors. Analyze data requirements, create models, and provide solutions (combination of ML and Analytics). Document processes and mentor team members. Participate in setting up an analytics platform for Self-Service Analytics. Qualifications Bachelors degree in computer science, engineering, or a related field; masters degree preferred. Minimum of 2 years of experience in Analytics and the use of Machine Learning algorithms. Demonstrated ability with visualization tools, ML frameworks, and related technologies. Entrepreneurial drive with the ability to deliver projects on time. Strong aptitude for learning new technologies and analytics techniques. Working Conditions and Physical Requirements Ability to work onsite or remotely from Arkansas, Tennessee, Texas, or Mississippi, with occasional onsite visits as needed. Supervisory Responsibility This position does not supervise others; however, the scope of the role may change as the organization grows. Working Place: Osceola, Arkansas, United States Company : 2025 OCt 16th Virtual Fair - US Steel

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.