Data Science Internship Jobs in Jollyville, TX

Job Title: Data Quality Analyst Department: Product Development Status: Full-Time, Salary Are you looking to join a team where “corporate values” aren't just words on the website but instead are the genuine beliefs of the team? Where the people are smart, hardworking, fun, and loving? A place where the talk is walked? That's Kasasa! There are 4 values that define our company culture - Interdependence, Empowered Ownership, Badassitude, and Love - Together these values form THE PATCH. Elevate is the wrapper around the whole Patch reminding us to seek the “highest form” of our values. If you feel that our company values align with your own, please apply! If you don't, we encourage you to find a company whose values do! Our values are a living commitment to one another. It defines everything we do, including how we build products, serve our clients, plan for the future, and work together. It is our uncompromising promise to one another, our communities, and our clients. Interdependence - Only team wins count. I take responsibility for my team's success. My Team is Kasasa. I hold my shield for all of us. Empowered Ownership - I know my goals. If they're to be, it's up to me. Badassitude - I am passionate about what I do because I understand why it matters. I will courageously face challenges, seeing each one as a steppingstone toward growth. Love - We boldly bring love to the workplace and the world. ELEVATE - I CREATE THE HIGHER POSSIBILITY. ONLY THE BADASS NEED APPLY! We're looking for much more than qualified applicants! We're looking for people who “relentlessly give a sh!t” (Or “RGAS” for short; this is a component of our Badassitude value)! We want individuals who will courageously face challenges. We don't settle for good enough. At Kasasa, we have the determination, grit, and hustle to create excellence. Kasasa's mission is to inspire and elevate community financial institutions to be the source for love and financial wellbeing in their communities. Kasasa employees (Spartans) are passionately dedicated to this mission and lead the way - sharing our “love” with the world - through our words and actions - via community service and outreach. Expect to get involved and make an impact if you expect to be a Spartan. As Spartans once did, we stand together and inspire others to join us in our mission. Stronger together and united by core values, we are more than a team. We are a Phalanx! The purpose of this position description is to serve as a general summary and overview of the major duties and responsibilities of the job. It is not intended to represent the entirety of the job, nor is it intended to be all-inclusive. Therefore, the position may be required or requested to perform for Kasasa other work duties not specifically listed herein. Management reserves the right to modify, defer, or rescind this position description at any time, with or without prior notice. Role Overview As a Data Quality Analyst, you will be responsible for performing comprehensive manual testing and validation of data as it flows from multiple disparate sources into our centralized data warehouse, and subsequently, into our reporting dashboards. You will collaborate with data engineers, business analysts, and product teams to identify, document, and resolve data quality issues, ensuring that our customers receive accurate and reliable insights. ESSENTIAL FUNCTIONS (Responsibilities) 1. Infuse the Patch Values into your work ethic, every day and every interaction. 2. Conduct thorough manual testing and validation of data as it is ingested from various sources into the data warehouse. 3. Ensure data accuracy, consistency, and integrity across all stages of the data pipeline, from ingestion to reporting. 4. Develop and execute test plans, test cases, and test scripts to validate data transformations, aggregations, and calculations. 5. Identify, document, and track data quality issues and work closely with data engineers and other stakeholders to resolve them. 6. Validate and verify the accuracy of customer-facing reports and dashboards to ensure they meet business requirements and standards. 7. Perform root cause analysis for data quality issues and provide actionable recommendations for improvement. 8. Collaborate with cross-functional teams to understand data requirements, define data quality metrics, and implement data quality best practices. 9. Monitor and report on data quality KPIs and metrics, providing regular updates to management and stakeholders. 10. Continuously improve data quality processes and methodologies, staying up-to-date with industry trends and best practices. 11. Help implement automated data quality checks across the data sources in the organization. 12. Other duties as assigned. POSITION REQUIREMENTS (Qualifications) 1. Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field. 2. 3+ years of experience in data quality analysis, data testing, or a similar role. 3. Strong understanding of data quality concepts, methodologies, and best practices. 4. Proficiency in SQL for data querying, validation, and testing. 5. Experience working with data warehouses and ETL processes. 6. Familiarity with BI and data visualization tools such as Power BI, Tableau, or Looker. 7. Excellent analytical and problem-solving skills, with a keen eye for detail. 8. Strong communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. 9. Ability to work independently and manage multiple priorities in a fast-paced environment. 10. Must be legally allowed to work in the U.S. 11. Kasasa values the importance of flexibility and collaboration. We offer a hybrid work model where you'll join us in the office for at least three full workdays each week, allowing for meaningful in-person connections and teamwork. The remaining two days offer the option to work remotely, providing you with the balance and autonomy to excel in your role. 12. You will be asked to participate in culture related meetings, activities, and events. We firmly believe that building culture and teamwork in a company requires extra intentionality, and thus your participation and engagement isn't just encouraged - it is required and part of your role responsibilities. Preferred Qualifications 1. Experience with data quality tools and frameworks such as Talend, Informatica, or Great Expectations. 2. Knowledge of scripting languages such as Python or R for data analysis and automation. 3. Experience with cloud-based data platforms like AWS Redshift, Google BigQuery, or Azure Synapse. 4. Understanding of data governance and compliance standards. PHYSICAL REQUIREMENTS 1. Sitting for extended periods of time; approximately 5-6 hours per day 2. Simultaneous use of hand, wrist and fingers 3. Daily operation of standard office equipment 4. Frequent use of oral communication to perform work 5. Occasionally lifts and moves 7-10 pounds Are you ready to join an amazing group of people who genuinely love their jobs in an environment that inspires greatness? We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, citizenship status, gender, gender identity, pregnancy, sexual orientation, transgender status, marital status, religion, creed, age, physical or mental disability, results of genetic testing, genetic information, past, present or prospective service in the military, or any other characteristic or activity protected by federal, state, or local law.

About the Role Austin, TX (on-site) Paid Internship ($18/hr) + Bonus Potential Flexible Duration and Hours Ready to jumpstart your career and gain hands-on experience in sales and recruitment? At Oscar-Recruit, we're offering an exciting Recruitment & Sales Internship that will help you develop essential skills in business development, talent acquisition and sales. You'll thrive in a dynamic, fast-paced environment, gaining real-work exposure and making an impact while shaping your professional future. At Oscar, we're a recruitment consultancy specializing in connecting top talent with leading companies across the Construction, Sales, Tech, and Energy industries. We're looking for driven, ambitious individuals to join our team. If you're considering a long-term career in sales, recruitment, or business development, this internship will provide you with direct experience and a clear pathway to a full-time role with significant earning potential and exceptional benefits. What You'll Be Doing: This internship offers valuable, real-world experience in sourcing, recruitment, and sales strategies. Key responsibilities include: ✅ Talent Sourcing & Recruitment: Use LinkedIn Recruiter, job boards, and CRM tools to identify top candidates. Screen candidates through phone and video interviews. Match candidates to job opportunities based on skills and career goals Assist in managing job postings and recruitment campaigns ✅ Sales & Business Development: Learn to build relationships with candidates and contacts. Gain exposure to consultative selling and objection handling. Develop strong open questioning and negotiation skills. Understand industry-specific recruitment trends and market insights. ✅ Training & Development: Full training provided in sourcing techniques, phone skills, and industry knowledge. Coaching and mentoring from top-performing recruiters. Exposure to real-world sales and recruitment scenarios. Why Join Oscar? 🏢 Location & Culture: Work from our beautiful Austin office, which has a rooftop with a view of the Capitol (816 Congress Ave, 78701). Vibrant, social, and collaborative team environment. Company events, incentives, and fun Fridays. Compensation & Perks: Paid internship with bonus potential. Flexible schedule (full-time or part-time, with preference for full or half-day shifts). Clear pathway to a full-time role as a Recruitment Consultant or 360 Sales/Business Development professional after graduation. 💰Compensation & Perks: Paid internship with bonus potential. Flexible schedule (full-time or part-time, with preference for full or half-day shifts). Clear pathway to a full-time role as a Recruitment Consultant or 360 Sales/Business Development professional after graduation. 🚀 Career Growth & Learning: Gain real sales and recruitment experience. Work with top tools and platforms (LinkedIn Recruiter, CRM software, sourcing databases). Fast-track opportunity to transition into a high-earning, full-time role with: Base salary + uncapped commission Industry-leading training & career progression Incredible perks & benefits package What We're Looking For: To succeed in this role and transition into a full-time career with Oscar, you should have: 🔥Ambition & Motivation - You thrive in a goal-driven environment. 💰 Money Motivation - You want to earn big and are excited by commission potential. 🎯Competitive & Goal-Oriented - You push yourself to achieve more. 📞Great Communication Skills - You enjoy talking to people and building relationships. 🌞 Positive & Resilient Attitude - You see challenges as growth opportunities. Ready to Kickstart Your Career? Apply now by following the links or contact Zoe Archer at Oscar for more info! Oscar Associates Limited (US) is acting as an Employment Business in relation to this vacancy.

Title: Business Analytics Intern Responsible Manager: Business Analytics Manager Hybrid Role We, EOS - world market leader for industrial 3D printing, are looking for you to support our Business Analytics Team in Pflugerville, TX. We are seeking a summer intern starting Mid-May through August. If you are a student seeking a summer internship and have knowledge using SAP Bi Tools, Excel functions like Macros, PivotTables, etc., and can create and maintain technical documentation apply now! Your Mission Develop automated reports and visualizations using SAP BI tools (e.g., SAP BusinessObjects, SAP Lumira) to track service department KPIs Automate routine data analysis tasks using advanced Excel functionalities like Macros, PivotTables, etc., Work with data from SAP ensuring data accuracy, consistency, and proper integration with other departments Create and maintain technical documentation for reporting solutions, including data models, process workflows, and user guides Provide stakeholders with insights and actionable recommendations based on the analysis Your Talents Experience with SAP or other comparable Business Intelligence tools Strong proficiency in Excel Basic understanding of how the SAP CS module works, including service orders, customer notifications, repairs, and warranties Ability to present data-driven insights to non-technical stakeholders in a clear and actionable manner Strong documentation skills for creating manuals, reports, and guides for future reference Our Vision Over 1000 sharp minds, about 60 nationalities, one goal: accelerating the world's transition to Responsible Manufacturing. Our proven technology, industrial 3D printing, has been extending the boundaries of manufacturing for over 30 years. We work globally networked and prefer to think outside the box and we're looking for people who want to shape the future with us. EOS welcomes individuals from all backgrounds, ensuring equal opportunities without regard to race, color, religion, national origin, gender identity, expression, sexual orientation, age, or disability. At EOS, equity and inclusion are fundamental principles, and we believe in creating a work environment that is built on empathy, respect, and fairness.

IMPORTANT: Please be aware, scammers may try to impersonate Zello by reaching out regarding job opportunities. We will never ask you for bank account information, checks, or other sensitive information as part of our hiring process. All correspondence will come from the zello.com email domain. If you're unsure, please email ******************** with questions. About Zello Zello is a voice-first communication platform, powered by our industry-leading push-to-talk technology, to improve collaboration and productivity for desk-less workers. With over 175+ million users, we're the #1 rated push-to-talk app in the world, delivering 9 billion (yes, with a B) messages a month. At Zello, our company values are at the heart of what we do everyday. We're proud to serve the frontline, we're privileged to connect people in times of crisis across the globe, and we're honored to support first responders. And this is where you come in. Please note that we are looking for candidates who already live in Austin or have plans to relocate to Austin for an internship. At Zello, data is more than just numbers; it's the heartbeat of our operation. As we continue to grow and innovate, we're offering an exciting opportunity for a budding data enthusiast to join our team as a Data Intern. If you're currently in school and have a passion for diving deep into data, unearthing insights, and wish to contribute to a dynamic tech environment, this Austin, TX-based role might just be your stepping stone into the world of data analytics. Embarking on an internship journey with Zello means more than just adding a line to your resume. It's about growth, hands-on experience, and making a tangible difference in a leading tech company. If you're ready to dive into the world of data, Zello welcomes you with open arms. After a successful internship, you will have: Contributed to several data projects, gaining firsthand experience and adding genuine value to our operations Collaborated closely with seasoned data professionals, soaking in knowledge and skills Made discernible improvements in data processes, either through optimization, visualization, or fresh insights Received accolades for your fresh perspective, innovative solutions, and a go-getter attitude What you'll do Support various data initiatives, working on tasks that, while not overly complex, are crucial to our day-to-day operations Assist in data cleanup, organization, and basic analysis, ensuring our data remains pristine and actionable Work on specific projects, adding your unique touch and ensuring they're seen to fruition Engage with our analytics software and tools, learning the ropes, and applying academic knowledge to real-world challenges Attend team meetings, workshops, and sessions, ensuring you're always in the loop and learning from the best What you bring Currently pursuing a degree with a focus on Data Science, Analytics, or a related field. A foundational understanding of data analytics principles and tools. Eagerness to learn, an inquisitive mindset, and a strong problem-solving ability. Basic proficiency in relevant software and tools, with an openness to learning more. Strong communication skills, both written and verbal. A genuine passion for data and the stories it can tell. We hire for potential, passion for our mission, and a knack for solving difficult problems over checking every qualification box. We have competitive pay, equity with significant upside, and intentionally design our benefits to encourage healthy and well-balanced employees, from flexible work schedules to unlimited paid time off. We even offer a sabbatical after every five years of service so you're able to pursue and enjoy what matters most to you. And of course, we wouldn't be a technology company in Austin without a ping-pong table and free snacks in our break room. Join us! Zello provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Hybrid

About us At Auctane, we are united by a passion to help businesses deliver - whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items - over $200 billion worth - to recipients around the globe. The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our values Win as One. Delight Customers. Deliver Great Outcomes. About the role 2025 AuctaneU Summer Internship Program Applicants must be currently enrolled in undergraduate or graduate program at an accredited university Interviews: On a rolling basis through March, 2025 First Day of onsite Orientation: June 3, 2025 Last day of the Internship Program: August 7, 2025 This is a paid internship Ability to work 40 hours per week (except for the week of July 4th) Position is hybrid in Austin, TX (Monday & Friday remotely & Tuesday, Wednesday and Thursday in-office) This is an internship role within the Marketing department. What will you be doing? Conducting In-Depth Research: Explore the latest open-source marketing mix modeling (MMM) tools, including Meta's Robyn, Google's Meridian, and others, to evaluate their methodologies, capabilities, and alignment with organizational needs. Recommending a Path Forward: Synthesize findings into actionable recommendations for an internal MMM framework, balancing usability, accuracy, and scalability. Data Collection & Aggregation: Gather and integrate data from various sources (e.g., media spend, sales, customer data), ensuring all relevant inputs are centralized for analysis. Data Cleaning & Preparation: Address data quality issues, such as multi-collinearity, missing values, and outliers, to create a robust dataset ready for modeling. Building the Foundation for MMM: Assist in spinning up a foundational MMM environment, including configuring tools, setting up workflows, and documenting processes for long-term use. Collaboration & Communication: Work closely with analytics and marketing teams to understand business needs, share progress, and align on project objectives. What are we looking for? Passion for Data Science & Marketing Analytics: You're excited about using data to solve complex business problems and eager to learn about marketing mix modeling. Strong Analytical Skills: You have experience with data manipulation, cleaning, and analysis, and you're comfortable working with large, messy datasets. Proficiency in Programming: Familiarity with R is a must, and experience with libraries like the tidyverse is a big plus. Knowledge of Statistics: You understand concepts like regression, multi-collinearity, and time series analysis, and can apply them in a practical context. Curiosity About Open-Source Tools: You're eager to dig into tools like Meta Robyn or Google Meridian, with a willingness to experiment and evaluate their potential. Problem-Solving Mindset: You enjoy tackling challenges and thrive in figuring out solutions to complex data and modeling issues. Attention to Detail: You're meticulous about ensuring data quality and accuracy in your work. Communication Skills: You can clearly explain technical concepts to both technical and non-technical stakeholders, making your insights accessible and actionable. Self-Starter Attitude: You're proactive, resourceful, and ready to take ownership of your projects from start to finish. Team Player: You enjoy collaborating across teams, gathering input, and sharing your progress to keep everyone aligned. Experience with Marketing Analytics: Prior exposure to marketing data, attribution modeling, etc. Advanced Programming Skills: Knowledge of SQL, as well as experience with cloud platforms (e.g., GCP) or data visualization tools like Tableau or Looker. Strong Statistical Knowledge: Familiarity with advanced modeling techniques, such as Bayesian models or machine learning approaches, for marketing optimization. Hands-On Open-Source Experience: You've already tinkered with open-source analytics or marketing tools and can bring insights from real-world experimentation. The Tech R SQL Google Suite What do we offer? 🏠 We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays. 🏟️ Company events, we work hard, play hard! We do our best every day, even at our regular team-building events. 🏢 Attractive office space in the heart of central Austin, Texas (free drinks, snacks…). 🍽Indulge in weekly catered lunches at our office - a delicious perk to fuel your work. 🏋🏾 ♀️Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc. 💪🏽We offer gym discounts to help you stay fit and healthy! 💜 An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive. Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.) Sit for prolonged periods of time Utilize wrist and hands for a prolonged period of time Walk short distances Stand for short periods Speaking and conversing with others Lift up to 25lbs without assistance up to chest height Equal Opportunity Employer/Veterans/Disabled If you are based in California, we encourage you to read this important information about the ShipStation Privacy Policy for California residents linked here.

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry • Opportunities to work on team-based and individual projects • Visibility to industry experts Job Qualifications: Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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. The AMI Data Analyst is responsible for collecting electric meter data for the accurate and timely delivery of information to downstream systems (billing, demand response, conservation, energy efficiency, SCADA etc.). Under general supervision of the Senior AMI Analyst, perform various technical duties associated with retrieving, processing, validating, editing, and estimating meter data in the Meter Data Management Systems (MDMS) and/or the Advanced Metering Infrastructure (AMI) Headend System. Applicants are required to attach a resume This position is not available for telecommuting. ESSENTIAL FUNCTIONS: * Assist Senior AMI Analyst in the maintenance of the Meter Data Management Systems (MDMS) in support of the utility billing processes to include updating tables, troubleshooting, documenting problems and resolutions, assisting with conversions and upgrades, and acting as a liaison between the user department and Operational Technology(OT) group. * Develops data-driven reports using industry standard reporting tools (SQL, Microsoft Access, Excel, etc.) * Specifies and documents integrations between different software systems including specific data exchanges, types of software interactions (web services, database connections), database schema design, and the use of software integration tools. * Writes specifications for data inputs and outputs including the design of forms, graphical user interfaces, and reports * Develop standardized queries on interval and register data from various sources to assist team identify and correct anomalies in the customer data. * Provides technical and functional guidance and specifications to the team. * Develop and automate queries that perform validation checks in MDMS and/or AMI Headend to determine the accuracy of field data and report missing data. * Creates, modifies, and executes existing data queries as necessary to provide data needed to analyze and report on exceptions within AMI, MDMS, and Utility billing systems. * Create new queries as required to provide data for exception analysis. * Provide internal support to other departments for data services requests that require troubleshooting, SME, or planning of data services processes on a per-project basis. * Develop and maintain reports based on internal customer requirements for normalized data presentation, forecasting, financial projections, invoicing, and billing. * In collaboration with GIS, develop tools that help troubleshoot field network devices; coordinate with appropriate departments as needed. * Assist in retrieving and processing meter interval data (edit, estimate, validate) from electric meters from various applications as necessary for analytics and validations. * Ensure the validity of the meter interval data in the MDMS, including estimation and profiling of missing interval data. Responsible for correcting the data and coordinating with other appropriate departments when needed. * Analyze daily collection results in both the MDMS and AMI Headend systems, identify any meter collection issues, and coordinate within the Operational Technology group, or directly with field operations, and billing organizations to resolve issues. * Analyze MDMS/AMI exceptions generated each day based on existing operating procedures, determine the cause and correct the information to allow for timely billing. * Perform initial analysis on new exceptions and provide recommendations for resolution to their direct Supervisor. If the exception is due to a technical issue, work with their direct Supervisor to understand and document the issue. * Analyzes, researches, and implements data changes and corrections in the MDMS and AMI Headend system prior to the billing process. * Analyze and resolve time-sensitive meter data-related inquiries received from internal departments. * Other duties as assigned Other Job Responsibilities: * In collaboration with the direct supervisor and billing personnel, develop and maintain acceptable metering data quality. * In collaboration with the direct supervisor and OT network personnel develop and maintain acceptable field network performance. * Assist in coordinating with the field operations organization in supporting meter exchanges, troubleshooting metering issues, and resolving issues with obtaining reads/intervals. * Maintain a thorough understanding of meter-to-cash operations, including billing processes and the utility rate tariffs at the City of Georgetown. * Maintain a thorough understanding of the data dictionaries of AMI, MDMS, and Utility Billing systems. * Recommend and implement operational improvements that will potentially create cost savings and improve customer billing accuracy. * Maintain good working relationships with other departments in the meter-to-cash operations to help resolve simple to complex issues related to usage before finalizing billing transactions. * Responsible for tracking, coordinating, and reporting on the status and trends of any AMI network performance issues. * Provide expertise to create and maintain metrics related to billing determinants, functionality configuration, and data delivery services. * Validates and monitors all daily file transfers between MDMS, AMI Headend, and Utility billing software to identify any discrepancies. * Other duties as assigned. MINIMUM QUALIFICATIONS: Education, training and Experience: Associate's degree in business, Economics, Marketing, Finance, Computer Science, Engineering, and/or equivalent work-related experience. Four (4) years of full-time relevant job experience. One (1) additional year of full-time experience may be substituted for 30 semester hours of the education of the required education with a maximum substitution of two (2) years. Preferred Qualifications: * Experience working in data analytics, including complex statistical analysis, and Experience with SQL queries, SSRS reporting, and related tools. * Experience with meter data management from the utilities or finance industries, and Experience manipulating and interpreting large data sets. * Strong Analytical skills: must be able to provide timely and accurate interpretation of Meter Data Information. * Experience working with AMI applications. * Alarms, warnings and data associated with AMI devices, networks and instrumentation * Meter configurations (functional programming, firmware, and CIS setup) * Headend configurations (AMI hardware/software/firmware release notes) * Experience managing projects from planning to completion under limited guidance * Advanced Proficiency with Microsoft Word, Excel, and Outlook * Proficiency in business intelligence platforms like Tableau, Power BI, etc. Knowledge, Skills and Abilities: * Basic Utility Service(s), system construction and design. * Data network infrastructure * Billing practices and the principles of revenue collection * Applicable software and emerging trends in automated metering infrastructure * Geographic Information System (GIS) * Methods and techniques of user relations and data gathering * City policies and procedures (Personnel, Safety and Purchasing) * High school-level math (algebra, geometry, and trigonometry), physics, etc. relevant to electric utility distribution design * Problem solving and decision making * Coordinating resources * Delivering presentations * Analyzing complex data * Ability to handle multiple projects simultaneously * Establishing and maintaining effective working relationships * Time management and multi-task functions * Applying City of Georgetown Electric Criteria (Billing formulas/ rates) to various customer situations * Communicate clearly and effectively, both orally and in writing * Perform root cause analysis and troubleshoot issues through collaborative efforts * Work in a team-oriented atmosphere with the expectation that tasks be completed by working across organizational lines * Set priorities, multi-task, and work efficiently under pressure * Set goals and communicate expectations. * Work with various departments LICENSES AND CERTIFICATION REQUIREMENTS Valid Class C Texas driver's license PHYSICAL DEMANDS AND WORKING ENVIRONMENT Standing, sitting, walking, lifting, carrying, pushing, pulling, reaching, handling, fine dexterity, crouching, bending, vision, hearing, talking, use of foot controls. Temperature extremes from weather and engines; Energized electric facilities; occasional dogs and insects. Hiring Range: $38.18 - $47.83, hourly. #LoveWhereYouWork! Check out the benefits of working with us here. Regular-Full time If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Entity: Oracle America, Inc. Job Duties: 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. May telecommute. (385.29279) Employer will accept a Master's degree in Computer Science, Analytics, Engineering, or a related technical field. Position requires: 1. Machine learning methods including classification, clustering and deep learning; 2. Machine learning algorithms including Support Vector Machines, Decision Tree and Random Forests; 3. Building predictive models, including regression techniques including univariate or multivariate analyses and Statistics and Probability techniques including Bayesian methods; 4. Modeling and formulating optimization problems and optimization algorithms for solving linear and non-linear optimization problems; 5. Analytic/statistical programming languages including R or Python; and, 6. Commercial mathematical programming solvers, such as Gurobi. Career Level - IC3 Qualifications 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: $97,500 to $199,500 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.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Who We Are: Realtor.com is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We're excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. About The Role: Are you a data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let's chat. At Realtor.com, our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Scientist in Product Analytics and help change the world of real estate, one home at a time. Three Reasons to Apply * Data-Driven Impact: Use your analytical expertise to transform complex datasets into actionable insights that keep consumers at the heart of decision-making. * Collaborative Innovation: Work cross-functionally with marketing, product, and engineering teams in a dynamic, supportive environment that champions your growth. * Continuous Learning: Thrive in a culture that values creative problem-solving, ongoing innovation, and the empowerment to build better, every day. What you'll do: * Create full funnel reporting for the New Homes / New Construction business to understand consumer behavior, engagement and retention across all platforms * Work collaboratively with marketing, product, and engineering to establish measurement best practices for experimentation and optimization. * Partner closely with machine learning teams to determine the best way to optimize for the desired KPIs. * Deliver product insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., Page Views, Unique Users, Impressions, etc.) * Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. * Analyze test data integrations and develop hypotheses around product experiments. * Ownership of product partnerships with sales stakeholders. How We Work: We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration. What You'll Bring: * Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. * 2+ years of related experience in analytics or data science. * Robust analytics skills and ability to work with and analyze large volumes of complex data. * Be a subject matter expert on measurement and statistical analyses for your stakeholders. * Strong analytical thinking and ability to make data-driven decisions using statistical methods. * Strong SQL and either intermediate Python or R. * Well versed in Tableau or similar BI tools. * Highly collaborative and a team player. Nice to have: * Ability to create ETL pipelines using DBT + Airflow. * Extensive documentation experience, preferably around tracking front end changes and implementation. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry • Opportunities to work on team-based and individual projects • Visibility to industry experts Job Qualifications: Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

TDI-Data Analyst I-Intern (Amended 3.3.2025) (00048195) Organization: TEXAS DEPARTMENT OF INSURANCE Primary Location: Texas-Austin Work Locations: Aus Barbara Jordan Building 1601 Congress Avenue Austin 78701 Job: Computer and Mathematical Employee Status: Temporary Schedule: Part-time Standard Hours Per Week: 20.00 Travel: No State Job Code: 0650 Salary Admin Plan: B Grade: 18 Salary (Pay Basis): 2,000.00 - 2,000.00 (Monthly) Number of Openings: 2 Overtime Status: Non-exempt Job Posting: Mar 19, 2025, 10:21:57 PM Closing Date: Ongoing Description Do you have a passion for public service and enjoy making a difference? Don't miss out on this opportunity. The Texas Department of Insurance (TDI) is hiring! Apply now if you're looking for a rewarding career in public service. We regulate the insurance industry, administer the Texas workers' compensation system, and educate and protect consumers. You'll love the benefits of working at TDI: · Flexible work schedules. · Hybrid work schedule, if applicable. · Work-life-balance. · 48 hours of accrued vacation a year. · 48 hours of accrued sick leave a year. · 20+ holidays every year. · Career advancement opportunities. · Free parking. · Free comprehensive medical insurance for full-time employees and 50% off premium costs for dependents (state pays other 50%). Working at TDI offers many benefits. TDI is a qualifying organization for the Federal Public Service Loan Forgiveness Program. TDI also offers a lifetime monthly retirement annuity as well as 401(k) and 457 Programs under the Employees Retirement System of Texas. TDI is located at the Barbara Jordan Building at 1601 Congress Avenue in Austin. The innovative structure is part of the state's Capitol Complex project. Before you apply: Learn about our selection process, our military employment preference, and licensing and credential requirements. Data Analyst I (Intern) Performs entry-level data analysis and data research work. Works under close supervision with minimal latitude for the use of initiative and independent judgment.Develop your skills with a dynamic team of information technology professionals at TDI. With more than $250 billion in premiums in 2023, Texas is the nation's second largest insurance market and the fifth largest in the world. The Information Technology division is hiring a data analyst intern to work with IT professionals and program area staff to support and develop the agency's data management program. You will learn valuable information technology skills and all about data management at a state agency. You will be at the forefront of supporting insurance regulation that impacts the daily lives of Texans. This part-time, paid position provides a unique opportunity to gain exposure to the various types of information technology careers within TDI, including project management, system administration, and software development. Through this position, you will build your professional and communications skills and receive hands-on experience in data management practices. This temporary, part-time position is in Austin and requires 20 hours a week, with two days per week of in-office attendance at the Barbara Jordan Building required. This temporary position will begin around March 1, 2025, and end on or before August 31, 2025. The Information Security Office provides training and a positive, collaborative work culture. An ideal candidate will have data analysis and writing skills, the ability to interpret state and federal laws and technical standards and apply them to novel problems. The candidate will be detail-oriented and an excellent communicator, with good collaboration skills and judgment. The ideal candidate will show a willingness and ability to take on new challenges and subject matter. This position: · Collects, queries, and analyzes data using standard statistical tools, applications, methods, and techniques. · Interprets data analysis results to identify significant differences and trends in data to inform decisions. · Consults with internal and external customers to identify data analytics needs. · Cleans and prunes data to discard irrelevant information. · Performs other duties as assigned. Qualifications This position requires: · Transcripts verifying the completion of at least 90 college hours from an accredited four-year college or university, pursuing a degree in mathematics, statistics, information science, information systems, analytics/data science, computer science, business administration, or related degree. · 6 months of experience with data structures or algorithms gathered from, completing a data structures, or algorithms class, coursework, course projects, research, individual projects, internships, or other practical experience. Note | substitution language: Education and experience relevant to position requirements may be substituted for one another on a year-for-year basis. Additional job details: This position requires regular work attendance. The position may be eligible for a hybrid work schedule. If eligible, the employee must have a secure, dedicated workspace with reliable broadband internet service. The ideal candidate must be available for weekly meetings and group collaboration via Microsoft Teams and other applications during regular business hours. · Transcripts verifying completion of at least 90 college hours are required. Preferences for this position include: · Demonstrated knowledge of data management principles. · Experience with data analysis and reporting. · Writing sample with your application. · Resume with your application. This position requires demonstrated knowledge of: · State laws, rules, procedures, and regulations relevant to job requirements. · Knowledge of statistics and analyzing data sets. · Running queries, report writing, and presenting findings. · Record keeping, including security procedures for handling, protecting, and distributing confidential data. This position requires demonstrated skill in: · Problem solving and critical thinking. · Using Microsoft Office software applications, including Word, Excel, Outlook, and SharePoint. · Using personal computers sufficient to enter and extract data from related systems and programs such as Centralized Accounting Payroll and Personnel (CAPPS) and other systems required to perform the job. · Extracting data from related systems and programs. · Conducting data searches. · Evaluating and translating large amounts of data. · Planning, decision-making, and problem-solving. · Effective oral and verbal communication. · Working effectively with coworkers, subject matter experts, and management. · Tactful communications; both verbal and written. This position requires the demonstrated ability to: · Communicate and work effectively with a wide range of people with varied skills, knowledge, and backgrounds. · Maintain the confidentiality of sensitive information. · Analyze and solve work-related problems and work independently on a variety of administrative work and technical assignments. · Manage and coordinate multiple tasks and priorities to meet necessary deadlines. · Work both independently and as a team player. · Establish and maintain effective working relationships with both internal and external customers. · Interpret technical information. · Compile, review, and analyze data. · Prepare reports. · Communicate effectively. · Bend, stoop, and safely lift items weighing fifty pounds. · Research and document problem solutions. Military Employment Preference Get help translating your military work experience and training courses into civilian job terms, qualifications/requirements, and skill sets. Redact personal or sensitive information from all attachments. To receive a military employment preference, you must submit the following documents, as applicable, with your application. See How to Apply - Military Employment Preference. Applicable Military Occupational Specialty (MOS) codes are included, but not limited to one of the following: 25N, 255N, 782X, ISM, 0639 Click or copy and paste the following link into your browser to access Military Crosswalk information: ************************************************************************************** How to apply: All applications must contain complete job histories, including job title, dates of employment, name of employer, manager's name and phone number, and a description of duties performed. We may reject applications that do not include all the required information. Resumes do not substitute for this required information. Submitted through Work in Texas: Work in Texas (WIT) applicants must complete supplemental questions to be considered for the position. To complete supplemental questions, go to CAPPS Career Center to register or log in and access your profile.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

RWE Clean Energy, LLC Functional area: Human Resources Remuneration: Non-Exempt The Business Analyst Intern will work closely with helping small internal projects within HR Ops and Payroll functions. Role Responsibilities: * Update the existing process maps * Create new process maps * Documentation of the fit-gaps and asses the improvements of missing processes * Create change control procedures and instructions to adapt them * Create procedures for security controls * Create the business requirement document * Work with ADP and the team to enhance the current workflow procedures * Refining the current or creating new standard operating procedures * Work closely with the VP, attending meetings on the new cloud strategy and documenting keynotes * Develop status reports in Excel and PowerPoint slides. * Track all project metrics and develop status reporting * Support other activities that will come up during the project period, including any optimizations needed for operations and support Job Requirements and Experiences: * Pursuing a undergrad degree in Computer Science or similar related area of doing data analysis and process orchestrations * Experience as a prior intern experience or a team member for any project transformation * Prior knowledge in HR would be a great, but not a required * Strong interpersonal skills, with the ability to manage customer relationships * Demonstrated desire to learn about the company and the corporate functions * Excellent proficiency with Microsoft Office (Excel, Word, PowerPoint, Outlook) and Teams * Strong communication skills and ability to meet deadlines * Strong organization skills and ability to coordinate multiple tasks and deliverables * Ability to multi-task while working independently and as part of a team * Motivated self-starter, goal-oriented, and strong problem-solving abilities * Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds * Responds well to direction, is easy to challenge and develop, and is coachable * Is detail-oriented, has strong business acumen, and a sound understanding of business concepts This is an on-site part-time role as soon as possible, with a full-time opportunity in summer, then part-time in fall and spring. This position requires going into our Austin, TX office starting in April. Apply with just a few clicks: ad code 89396 We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We are an Equal Opportunity Employer. No matter who you are, we welcome your application irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. RWE Clean Energy is one of the biggest names in the US renewables industry - and No.2 in solar. With a 1,500-strong team, the business has over 15 years' experience of developing, constructing and operating renewable energy facilities, and ambitious plans for the future. As part of the RWE Group's Growing Green strategy to expand globally its green portfolio to more than 65 GW of installed capacity and to invest globally more than EUR 55 billion gross by 2030, RWE Clean Energy is determined to significantly increase its operating asset base in the U.S. This is backed by a project pipeline of more than 24 GW in onshore wind, solar and battery storage which provides for one of the largest development platforms in the United States. Every project brings constantly-evolving technical, practical and social challenges - and drives a culture where everybody thrives, has fun and feels excited by each day. Our financial stability also means you'll have the freedom to act with conviction and courage as we pivot to new technologies - and continuously improve, together. No Nearest Major Market: Austin Job Segment: Environmental Engineering, Summer Internship, Business Analyst, Payroll, Engineering, Entry Level, Finance, Technology

**RWE Clean Energy, LLC** **Functional area:** Human Resources **Remuneration:** Non-Exempt The **Business Analyst Intern** will work closely with helping small internal projects within HR Ops and Payroll functions. **Role Responsibilities:** + Update the existing process maps + Create new process maps + Documentation of the fit-gaps and asses the improvements of missing processes + Create change control procedures and instructions to adapt them + Create procedures for security controls + Create the business requirement document + Work with ADP and the team to enhance the current workflow procedures + Refining the current or creating new standard operating procedures + Work closely with the VP, attending meetings on the new cloud strategy and documenting keynotes + Develop status reports in Excel and PowerPoint slides. + Track all project metrics and develop status reporting + Support other activities that will come up during the project period, including any optimizations needed for operations and support **Job Requirements and Experiences:** + Pursuing a undergrad degree in Computer Science or similar related area of doing data analysis and process orchestrations + Experience as a prior intern experience or a team member for any project transformation + Prior knowledge in HR would be a great, but not a required + Strong interpersonal skills, with the ability to manage customer relationships + Demonstrated desire to learn about the company and the corporate functions + Excellent proficiency with Microsoft Office (Excel, Word, PowerPoint, Outlook) and Teams + Strong communication skills and ability to meet deadlines + Strong organization skills and ability to coordinate multiple tasks and deliverables + Ability to multi-task while working independently and as part of a team + Motivated self-starter, goal-oriented, and strong problem-solving abilities + Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds + Responds well to direction, is easy to challenge and develop, and is coachable + Is detail-oriented, has strong business acumen, and a sound understanding of business concepts This is an on-site part-time role as soon as possible, with a full-time opportunity in summer, then part-time in fall and spring. **This position requires going into our Austin, TX office starting in April.** **Apply with just a few clicks:** ad code **89396** We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We are an Equal Opportunity Employer. No matter who you are, we welcome your application irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. RWE Clean Energy is one of the biggest names in the US renewables industry - and No.2 in solar. With a 1,500-strong team, the business has over 15 years' experience of developing, constructing and operating renewable energy facilities, and ambitious plans for the future. As part of the RWE Group's Growing Green strategy to expand globally its green portfolio to more than 65 GW of installed capacity and to invest globally more than EUR 55 billion gross by 2030, RWE Clean Energy is determined to significantly increase its operating asset base in the U.S. This is backed by a project pipeline of more than 24 GW in onshore wind, solar and battery storage which provides for one of the largest development platforms in the United States. Every project brings constantly-evolving technical, practical and social challenges - and drives a culture where everybody thrives, has fun and feels excited by each day. Our financial stability also means you'll have the freedom to act with conviction and courage as we pivot to new technologies - and continuously improve, together.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.

About us At Auctane, we are united by a passion to help businesses deliver - whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items - over $200 billion worth - to recipients around the globe. The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our values Win as One. Delight Customers. Deliver Great Outcomes. About the role 2025 AuctaneU Summer Internship Program Applicants must be currently enrolled in undergraduate or graduate program at an accredited university Interviews: On a rolling basis through March, 2025 First Day of onsite Orientation: June 3, 2025 Last day of the Internship Program: August 7, 2025 This is a paid internship Ability to work 40 hours per week (except for the week of July 4th) Position is hybrid in Austin, TX (Monday & Friday remotely & Tuesday, Wednesday and Thursday in-office) This is an internship role within the Marketing department. What will you be doing? * Conducting In-Depth Research: Explore the latest open-source marketing mix modeling (MMM) tools, including Meta's Robyn, Google's Meridian, and others, to evaluate their methodologies, capabilities, and alignment with organizational needs. * Recommending a Path Forward: Synthesize findings into actionable recommendations for an internal MMM framework, balancing usability, accuracy, and scalability. * Data Collection & Aggregation: Gather and integrate data from various sources (e.g., media spend, sales, customer data), ensuring all relevant inputs are centralized for analysis. * Data Cleaning & Preparation: Address data quality issues, such as multi-collinearity, missing values, and outliers, to create a robust dataset ready for modeling. * Building the Foundation for MMM: Assist in spinning up a foundational MMM environment, including configuring tools, setting up workflows, and documenting processes for long-term use. * Collaboration & Communication: Work closely with analytics and marketing teams to understand business needs, share progress, and align on project objectives. What are we looking for? * Passion for Data Science & Marketing Analytics: You're excited about using data to solve complex business problems and eager to learn about marketing mix modeling. * Strong Analytical Skills: You have experience with data manipulation, cleaning, and analysis, and you're comfortable working with large, messy datasets. * Proficiency in Programming: Familiarity with R is a must, and experience with libraries like the tidyverse is a big plus. * Knowledge of Statistics: You understand concepts like regression, multi-collinearity, and time series analysis, and can apply them in a practical context. * Curiosity About Open-Source Tools: You're eager to dig into tools like Meta Robyn or Google Meridian, with a willingness to experiment and evaluate their potential. * Problem-Solving Mindset: You enjoy tackling challenges and thrive in figuring out solutions to complex data and modeling issues. * Attention to Detail: You're meticulous about ensuring data quality and accuracy in your work. * Communication Skills: You can clearly explain technical concepts to both technical and non-technical stakeholders, making your insights accessible and actionable. * Self-Starter Attitude: You're proactive, resourceful, and ready to take ownership of your projects from start to finish. * Team Player: You enjoy collaborating across teams, gathering input, and sharing your progress to keep everyone aligned. * Experience with Marketing Analytics: Prior exposure to marketing data, attribution modeling, etc. * Advanced Programming Skills: Knowledge of SQL, as well as experience with cloud platforms (e.g., GCP) or data visualization tools like Tableau or Looker. * Strong Statistical Knowledge: Familiarity with advanced modeling techniques, such as Bayesian models or machine learning approaches, for marketing optimization. * Hands-On Open-Source Experience: You've already tinkered with open-source analytics or marketing tools and can bring insights from real-world experimentation. The Tech * R * SQL * Google Suite What do we offer? * We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays. * ️ Company events, we work hard, play hard! We do our best every day, even at our regular team-building events. * Attractive office space in the heart of central Austin, Texas (free drinks, snacks…). * Indulge in weekly catered lunches at our office - a delicious perk to fuel your work. * ️Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc. * We offer gym discounts to help you stay fit and healthy! * An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive. Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.) * Sit for prolonged periods of time * Utilize wrist and hands for a prolonged period of time * Walk short distances * Stand for short periods * Speaking and conversing with others * Lift up to 25lbs without assistance up to chest height Equal Opportunity Employer/Veterans/Disabled If you are based in California, we encourage you to read this important information about the ShipStation Privacy Policy for California residents linked here.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 4/18/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.