Senior data scientist jobs in Arkansas

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We are seeking an Applied Data Scientist who is ready to elevate their career. This role offers an opportunity to leverage your expertise in transforming complex problems into actionable insights by utilizing state-of-the-art machine learning techniques combined with innovative human creativity. You will play a key role in delivering effective and impactful solutions for our clients. As a member of our advanced data science team, you will investigate, develop, implement, and deploy a variety of complex applications and components, collaborating with exceptionally talented colleagues who are not just following the rules but are actively redefining them. Key Expectations for This Role A degree in a relevant field Proficiency in programming languages and tools such as Hadoop, Spark, SQL, and Python Experience with prototyping Knowledge of statistical modeling Familiarity with analytical techniques and technology Skills in quality assurance and testing What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $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.

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

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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.

Provide statistical support for the development of measurement/re-measurement techniques, data analysis and reporting of quality improvement projects, surveys and HEDIS needs. Assist in the coordination of data activities for specific projects and assure compliance with established protocols and contractual requirements. Works under the general supervision of Supervisor or Manager. Support the organization's mission, vision, and values by exhibiting the following behaviors: Honesty, Excellence, Accountability, Respect and Teamwork. ESSENTIAL JOB FUNCTIONS: Act as lead analyst on assigned projects. Demonstrate knowledge and experience with all functions related to Data Scientist I. Develop and write suitable data sampling frames to meet project goals and objectives. Download/export data from large data sets/databases and generate SAS code to edit data for accuracy and completeness. Demonstrate understanding and appropriate use of commonly used concepts, practices, and procedures related to program evaluation. Manipulate data and conduct data analysis using SAS statistical package or geospatial software; transfer data into formats conducive to appropriate analyses. Interpret, summarize, and document results from statistical analyses Produce graphs, charts, and other visual representations of data. Prepare summary reports of analysis for presentation to internal and external clients. Present findings and demonstrate projects at local, state, and national conferences. Ensure projects follow AFMC and/or certified survey protocol in terms of abstract design, data collection, statistical analysis, and contractual requirements. Ensure project methodologies are written or updates as needed to accomplish project goals and objectives. Produce overall analysis plans with detailed specifications for analysis files, consistency checks, tables, and figures. Communicate effectively and collaborate with internal and external clients regarding statistical analysis issues and project development. Assist with data entry, data verification, verification of results and database maintenance as required or directed. Draft comprehensive reports containing statistical results and interpretations, adhering to format, content, and style guidelines, giving consideration to usability, and ensuring accuracy, consistency, and quality. Conduct workshops, seminars and staff training as needed. Follow AFMC, state and federal protocols regarding data confidentiality/security and HIPAA compliance. Additional duties as assigned. EXPERIENCE: : Three (3) years' experience in statistical analysis including writing SAS programs, data manipulation, model estimation and model evaluation. Three (3) years' experience in one of the following: SAS, REDCap, HEDIS, ArcGIS, or Administrative Claims. INTERNET REQUIREMENTS: Reliable, high-speed wireless internet service (Wi-Fi) KNOWLEDGE, SKILLS, AND ABILITIES: Intermediate skill level with MS Office (Word, Excel, Outlook, and PowerPoint). Type 40 wpm Advanced skill level with SAS. Ability to apply statistical and mathematical concepts. Possess a strong understanding of quantitative methods. Ability to maintain confidentiality. Strong oral and written communication skills. Creativity. Customer service. Ability to meet deadlines. Attention to detail. Flexibility. Ability to work collaboratively and independently to achieve stated goals. Initiative. Must be able to relate professionally and positively with staff, business partners, customers, constituents, recipients, and the public. Ability to multitask. Ability to prioritize. Strong organizational skills. Problem solving skills. Professionalism. Ability to read, interpret and apply laws, rules, and regulations. Time management skills. Medical terminology. Requirements Physical and Sensory Requirements (With or Without the Aid of Mechanical Devices): Mobility, reaching, bending, lifting, grasping, ability to read and write, ability to communicate with personnel, ability to remain calm under stress and ability to travel. Must be able to lift and transport 25 pounds. Must be capable of performing the essential functions of this job, with or without reasonable accommodations. EDUCATION: : Bachelor's degree in computer science, mathematics, statistics, or related field. Base SAS certification or equivalent certification. (1) Desirable: Masters in statistics or related field EXPERIENCE: : One (1) year experience in statistical analysis including writing SAS programs, data manipulation, model estimation and model evaluation INTERNET REQUIREMENTS: Reliable, high-speed wireless internet service (Wi-Fi) (1) Two (2) years SAS program, REDCap, or ArcGIS experience may be substituted for the Base SAS Certification. If experience is substituted it is in addition to stated requirements.

**_What Data Science contributes to Cardinal Health_** The Data & 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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 (***************************************************************************************************************************

Alice L. Walton School of Medicine (AWSOM) is seeking experienced, motivated, and dedicated leaders and educators to participate in the design and delivery of an innovative four-year medical school curriculum that engages medical students in active and novel learning. Job Description: Job Title: Biostatistician Reports to: Assistant Dean of Research Education FLSA Classification: Exempt Location: Bentonville, Arkansas (On-site) Who We Are Founded in 2021, Alice L. Walton School of Medicine (AWSOM) is a nonprofit, four-year MD program that will enhance traditional medical education with the arts, humanities, and whole health principles. The school's culture embraces self-care to empower students to care for their own well-being as well as their patients'. The school's state-of-the-art medical education facility is in Bentonville, Arkansas on the Crystal Bridges campus, home to Crystal Bridges Museum of American Art and Heartland Whole Health Institute. The school has been granted preliminary accreditation status by the Liaison Committee on Medical Education. About The Position The Biostatistician supports medical students in developing core skills in research design and analysis, with an emphasis on statistical thinking and interpretation. Responsibilities include providing mentorship and consultation on research projects, supporting curriculum delivery through journal clubs and workshops, and collaborating with researchers to ensure scientific rigor in study design, data analysis, and interpretation. This position centralizes statistical expertise across departments, enhancing research quality and providing consistent infrastructure support throughout the institution. The biostatistician position is not dependent on external grant funding. Essential Duties and Responsibilities Provide statistical consultation and expertise in study design, methodology, and analysis for clinical, biomedical, educational, and public health research. Develop, implement, and oversee data management, quality assurance, and reproducible research practices to ensure rigor, transparency, and compliance with institutional and federal requirements. Mentor and advise medical students and faculty (both one-on-one and in groups) on statistical methods, research design, data analysis, and preparation of manuscripts, abstracts, and presentations. Facilitate teaching of biostatistics through flipped-classroom sessions, workshops, case-based learning, and journal clubs as part of the longitudinal research curriculum that promote statistical reasoning and application. Collaborate with faculty and clinicians to strengthen methodological rigor in ongoing and new research studies, contributing to institutional scholarship and dissemination. Contribute to the design, evaluation, and continuous improvement of the longitudinal research curriculum, including teaching materials, assessment tools, and faculty training resources. Evaluate, recommend, and maintain statistical software, data visualization platforms, and programming resources to support institutional research capacity. Support AWSOM's research culture by participating in events such as the Annual Research Day, student milestone reviews, and community dissemination activities. Establish and maintain infrastructure for centralized statistical support, including consultation scheduling systems, shared code repositories, and best-practice documentation. Stay current with emerging statistical methods, technologies, and regulatory standards, and integrate them into institutional research practices. Other duties as assigned. Qualifications and Requirements Doctoral degree (PhD or DrPH) in biostatistics, epidemiology, or public health, required. At least one year of postdoctoral experience in data management and manipulation techniques, required. Demonstrated ability to communicate statistical concepts effectively in active, student-centered environments, required. Strong collaborative skills and interest in mentoring students, staff and junior faculty, required. Evidence of scholarship, including at least one first-author, full-length research publication, required. Experience teaching biostatistics to medical/graduate students, preferred. Experience with team-based, case-based, or other active learning pedagogies, preferred. Comfort with developing interactive teaching materials and assessment items, preferred. Experience in clinical, educational, or public health research design and dissemination, preferred. Experience with analysis of large data and secondary databases, preferred. Proficiency in R, Python, SAS, SPSS or Stata, preferred. 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, position requires sitting at a desk and 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 10 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 interaction with both the public and internal team members in a professional and courteous manner. Some local travel will be required, and a flexible schedule may be necessary to accommodate business needs, including occasional evening and weekend work hours. Alice L. Walton School of Medicine is an equal opportunity employer. All qualified applicants will receive consideration for employment. All offers of employment are contingent on your successful completion (where permitted by state law) of a confidentiality agreement and background check. In addition, you will need to provide proper identification verifying your eligibility to work in the United States.

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.

We are seeking a highly skilled Data Migration Lead to oversee and manage the planning, execution, and delivery of data migration projects. The ideal candidate will have deep expertise in SAP environments, hands-on experience with enterprise data migration, and proven leadership in driving successful transitions. This role will utilize our company's proprietary migration tool, DCS, to ensure efficient, accurate, and compliant migrations. The Data Migration Lead will work closely with business, technical, partner and client teams to ensure seamless data transition with minimal business disruption. Key Responsibilities * Lead end-to-end data migration initiatives, including strategy, planning, design, execution, validation, and post-migration support. * Develop and manage migration plans using DCS, ensuring alignment with business and technical requirements. * Analyze SAP legacy systems and target platforms to determine mapping, transformation, and migration requirements. * Establish and enforce data migration standards, best practices, and quality assurance processes. * Manage data cleansing, profiling, and validation activities to ensure data integrity and accuracy. * Collaborate with SAP functional and technical teams to align migration activities with system requirements. * Oversee risk identification, impact analysis, and mitigation strategies for migration-related challenges. * Lead and mentor a team of data migration analysts and developers, providing technical guidance and oversight. * Prepare documentation, including migration plans, data mapping, test cases, and status reports. * Support SAP cutover activities, user acceptance testing (UAT), defect resolution, and ensure seamless transition to production. * -- Qualifications * Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred). * 7+ years of experience in data migration, data integration, or database management. * Proven experience leading SAP data migration projects, including ECC to S/4HANA migrations. * Hands-on experience with migration tools (experience with DCS preferred or required). * Strong knowledge of ETL processes, data modeling, and SQL. * Familiarity with SAP modules (FI/CO, MM, SD, HR, etc.) and data structures. * Excellent problem-solving, analytical, and communication skills. * Strong leadership skills with the ability to manage and mentor teams. * -- Preferred Skills * Experience with migration to SAP S/4HANA and cloud-based applications. * Knowledge of agile project management methodologies. * Hands-on experience with data quality tools and master data management.

**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL LEADERSHIP + Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines. + Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms + Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code + Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists + Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance + Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity + Participate in peer reviews and QA processes to drive higher quality + Ensure that 100% of code is well documented and maintained in source code repository. INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance. + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of leadership within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role + Strongly prefer hands on experience with DataBricks or Palantir + Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault) + Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...) + Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays preferred + Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis. + Strong capabilities in a scripting language such as Python, R, Scala, etc. + Strong capabilities in SQL and experience with stored procedures + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most. This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field. Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong. About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project. What you'll do: Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs Implement data quality controls, validation processes, and lineage tracking to ensure data integrity Design and optimize data models that enable efficient analytics and reporting capabilities Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration Collaborate with analytics team to translate business requirements into technical data specifications Partner with backend developers to ensure proper data flow between applications and data warehouse Implement and maintain data security measures and access controls to protect sensitive information Monitor data system performance and implement alerting mechanisms for critical data processing workflows Troubleshoot and resolve complex technical issues related to data processing and integration Develop and maintain technical documentation for data models, integration processes, and data dictionaries Optimize data processing performance and scalability to handle growing volumes of data Implement backup, disaster recovery, and data retention policies for critical data systems Research and evaluate new technologies and tools to improve data processing capabilities and efficiency Other duties as assigned You should have: Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis Other Requirements: Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory) Demonstrated success in data warehouse design, implementation, and optimization Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms Strong knowledge of data modeling techniques and dimensional design principles Experience with data quality management, master data concepts, and identity resolution Experience with version control systems (Git) and collaborative software development practices Experience with large-scale data integration projects preferred Strong analytical and troubleshooting skills for complex data issues Ability to work independently while collaborating effectively with cross-functional teams Knowledge of data governance frameworks and best practices preferred Experience in healthcare data domains is a plus Schedule: Monday-Friday 8am-5pm This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock. What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings. Specifically, we offer the following benefits to full-time employees: Competitive salary Generous paid time off and Paid Holidays Minimal cost health insurance for you and affordable options for your family 401(k) with immediate eligibility and match Company-paid life insurance Company-paid long term disability coverage Affordable vision and dental plans Flexible Spending Account or Health Savings Account availability Wellness plan and complimentary yoga classes Monthly in-office massages and employer-sponsored lunches Please see Careers for further information.

Job DescriptionDescription: SCA Pharmaceuticals is a dynamic rapidly growing company consisting of passionate individuals who believe in our mission of providing high quality medications that are critical in saving and sustaining human life. SCA Pharma is an FDA 503B outsourcing facility providing customized medications for hospitals and healthcare facilities across the United States. We do this through unyielding quality, safety and integrity, our commitment to accountability and ownership, teamwork and creating better solutions by simplifying the complex. Summary: The Sr Data Engineer is responsible for design, development and support of data warehousing and data management environment supporting various business units. Provides mentorship and support to other junior team members and contract data engineers. Essential functions: Develop automated data pipelines and data stores in Snowflake: including designing, implementing, testing, debugging, and deploying Build metadata driven solutions that are reusable and highly configurable Develop complex SQL queries, stored procedures, and scripts for data manipulation and retrieval. Optimize Snowflake performance through effective data modeling, partitioning, and indexing strategies. Collaborate with data analysts, PowerBI Report Developers and business stakeholders to understand data requirements and deliver precise reporting and analytical solutions. Ensure data integrity and security within the Snowflake environment, complying with industry regulations and standards. Work on an agile team to quickly iterate and release solutions. Provide technical expertise and support for Snowflake to internal teams, including troubleshooting and resolving issues. Stay up to date with Snowflake features and updates, continuously improving and expanding our data warehouse capabilities. Develop and maintain documentation for Snowflake processes, systems, and procedures. Requirements: Required Qualifications & Experience: Proven 8+ years of experience in data warehousing / data lake design, development & support with last 3 years in Snowflake and Azure Data Factory Strong expertise in Strong SQL and SQL query optimization skills Strong knowledge of data warehousing concepts, medallion architecture and best practices. Familiarity with Snowflake's architecture, features, and best practices. Experience with data modeling, ETL development, and data integration techniques. Experience with Azure Data Factory (ADF), Data Bricks and other Azure services. Knowledge of life sciences industry requirements, regulatory requirements, and data security protocols. Proficiency in Python & Snowpark for data processing and automation. Experience working with confluence, JIRA & Github Desired Knowledge, Skills, and Abilities: Experience with Pharmaceutical, Lifesciences and / or Manufacturing Industries. Familiarity with other data integration tools and BI platforms. Knowledge and Working experience of AI/ML Relevant certifications such as Snowflake Snowpro Core Certification Goal oriented, with excellent time management and organizational skills Excellent verbal & written communication skills SCA Pharma is an equal opportunity employer (Minorities/Females/Disabled/Veterans). We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.

Apprenticely is helping Walton Arts Center hire a Junior Data Engineer in Fayetteville, AR & Rogers, AR. About the Employer: At Walton Arts Center/Walmart AMP, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing the best Arts and Entertainment to our audiences in Northwest Arkansas, and we know our organization runs on the hard work and dedication of our passionate and creative employees. Walton Arts Center and the Walmart AMP aspire to be welcoming spaces where people can be their authentic selves. We value diversity and inclusivity in every aspect of our operations.What's an Apprenticeship? An apprenticeship is a full time position with a focus on learning! During your first year of employment, you are guaranteed formal training, a mentor, and a pay raise! Employers who have committed to the apprenticeship model for hiring are committing to building you and your career. You're encouraged to apply even if your experience doesn't precisely match the job description. Apprenticeship positions welcome diverse applicants who are looking to grow their career in IT! How does the interview process work? We want to get to know you! Apprenticely will conduct an initial phone interview and knowledge assessment. If your skills and interest match with the employer's needs, we'll share your resume or ask you to apply directly with them. After that, the employers will continue with their recruiting and interview process. If you are a match, an offer will be made for you to get started in your new apprenticeship role! We'll be here to make sure your apprenticeship year goes smoothly and that you are set up for career growth and success! Keep in touch with us on social media Linkedin . Facebook . Instagram ******************** The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: ****************************************

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/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.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 12/02/2025 *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 (***************************************************************************************************************************

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Job Description Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most. This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field. Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong. About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project. What you'll do: Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs Implement data quality controls, validation processes, and lineage tracking to ensure data integrity Design and optimize data models that enable efficient analytics and reporting capabilities Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration Collaborate with analytics team to translate business requirements into technical data specifications Partner with backend developers to ensure proper data flow between applications and data warehouse Implement and maintain data security measures and access controls to protect sensitive information Monitor data system performance and implement alerting mechanisms for critical data processing workflows Troubleshoot and resolve complex technical issues related to data processing and integration Develop and maintain technical documentation for data models, integration processes, and data dictionaries Optimize data processing performance and scalability to handle growing volumes of data Implement backup, disaster recovery, and data retention policies for critical data systems Research and evaluate new technologies and tools to improve data processing capabilities and efficiency Other duties as assigned You should have: Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis Other Requirements: Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory) Demonstrated success in data warehouse design, implementation, and optimization Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms Strong knowledge of data modeling techniques and dimensional design principles Experience with data quality management, master data concepts, and identity resolution Experience with version control systems (Git) and collaborative software development practices Experience with large-scale data integration projects preferred Strong analytical and troubleshooting skills for complex data issues Ability to work independently while collaborating effectively with cross-functional teams Knowledge of data governance frameworks and best practices preferred Experience in healthcare data domains is a plus Schedule: Monday-Friday 8am-5pm This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock. What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings. Specifically, we offer the following benefits to full-time employees: Competitive salary Generous paid time off and Paid Holidays Minimal cost health insurance for you and affordable options for your family 401(k) with immediate eligibility and match Company-paid life insurance Company-paid long term disability coverage Affordable vision and dental plans Flexible Spending Account or Health Savings Account availability Wellness plan and complimentary yoga classes Monthly in-office massages and employer-sponsored lunches Please see Careers for further information.