Data scientist jobs in Logan, UT - 354 jobs

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are looking for a highly experienced Staff Data Engineer that will lead the end-to-end migration of on-premise data warehouse systems to modern cloud-based data platforms (e.g., AWS, GCP, Azure). In this role, you will partner with our Architecture, Data Engineering, and Technology Enablement teams to design and build new data solutions. Key Responsibilities: Contribute to the technical strategy, roadmap, and architectural design of software systems. Demonstrate strong analytical, organizational, problem-solving skills and the ability to implement solutions independently. Develop and maintain scalable applications using data engineering technologies. Creates and manages CI/CD pipelines for automated deployments. Mentor and guide engineers on technical aspects of cloud and data development. Coordinate efforts across multiple teams and departments. Lead and facilitate technical discussions and presentations. Actively engage in engineering community channels and events. Act as a technical advisor and reviewer for critical projects. Demonstrate emotional intelligence and empathy when interacting with others. Qualifications: 10+ years of data engineering development experience. Bachelor's degree in computer science, computer engineering, or related field. A combination of education and experience may meet requirements. Deep experience with the design and management of scalable data pipelines and workflows: Built robust ETL/ELT processes using Databricks Workflows, Kafka, and modern ELT tools. Champion CI/CD and automated testing best practices to ensure reliability, maintainability, and rapid deployment. Demonstrated expertise in distributed systems and advanced programming: Developed production-grade solutions in Python and PySpark, leveraging performance optimization techniques such as partitioning, caching, parallelism, and efficient data formats. Optimized cloud infrastructure for cost and performance: Led cost-efficient Spark workload strategies on Databricks by right-sizing clusters (e.g., on-demand drivers, spot/preemptible workers), enabling autoscaling and auto-termination, and utilizing job compute, serverless clusters, cluster pools, tagging, and budget controls. Architected and led scalable data platforms: Designed high-throughput, distributed data systems including data lakes and warehouses. Applied strong OLTP/OLAP modeling principles to support both real-time and analytical workloads. Deep understanding of cloud platforms (Google Cloud preferred), cloud-native technologies (e.g., Kubernetes, Docker), and infrastructure-as-code (IaC) practices. Extensive expertise in managing both cloud and on-premises environments, with strong focus on seamless data and file movement between cloud and on-premises systems to ensure efficient and secure data integration. Data governance and security: Ensured data governance and compliance with industry standards and regulations through robust security practices and techniques Demonstrated ability to mentor and coach engineers and collaborate effectively with cross-functional teams and facilitate clear communication across the organization. Ability to produce comprehensive technical documentation. Location: Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station. At least 75% of the building is powered by on-site renewable solar energy. Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. Large modern cafe with a healthy and diverse menu. Healthy indoor environment with ample natural light and fresh air. LEED-certified sustainable building that features include the use of low VOC-emitting construction materials. Benefits: Medical, Dental and Vision Insurance - START DAY ONE! Life and Disability Insurance, Paid Parental Leave and Adoption Assistance Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience Mental health benefits including coaching and therapy sessions Tuition Reimbursement for qualifying employees Employee Ambassador preferred banking products Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

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

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

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts-especially our own employees! And as winners of Glassdoor's Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk. Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science function. The Data Operations group is responsible for delivering business insights and high-impact analyses to the various business units within Awardco. Within this group, the Lead Data Scientist will address strategic and operational questions facing our global business, including customer behavior, performance measurement, and product and marketing efficiency. This individual will partner with different business units to meet their analytic needs and conduct extensive analyses of Awardco's data, generate insights, and communicate those insights to the business. The Lead Data Scientist role is data and analytically intensive. Successful candidates will offer deep analytical capabilities and will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. What You Will Do Responsibilities This position will enable data-driven business decisions by performing business and data analyses using a variety of techniques, ranging from simple data aggregation to complex statistical analysis. Develop custom data models and algorithms to apply to data sets. Churn and pipeline analysis Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Evaluate risk. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Create presentations, visualizations, and reports and present findings to executive-level management. Provide analysis and information supporting various campaigns, events, and initiatives, summarize key findings and trends, produce data sheets, graphics, and presentations. This individual will also be responsible for mentoring peers in analyst positions, providing analytical support, and having expertise in statistical concepts and methods. Forecast various data elements, such as sales and enrollments. What You Will Bring Qualifications The ability to analyze, model, and interpret data 8+ years of experience in analytics and quantitative techniques. Critical thinking Creativity Written and verbal communication skills A drive to learn and master new technologies and techniques. Additional Qualifications Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Advanced experience analyzing data from 3rd party providers such as Google Analytics or Qualtrics. Advanced knowledge of, and experience with, a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Advanced SQL skills Experience visualizing/presenting data for executive-level management Why Awardco: We have a revolutionary, client-approved product. One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few. Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces. Backed by renowned investors, both local and national. Awardco is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Disclaimer: Please be aware that all official communication regarding your application will only come from an email address ending ***************. If you receive any communication from a different domain, it may be fraudulent, and we encourage you to report it.

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.

Job Title Data Scientist Reports To Data Science Manager Status Full-Time in Office FLSA Classification Computer Professional Wage Range 50,000 - 100,000 USD Annually Experience 0 - 6 Years Related Experience Higher Education Master's Degree Preferred About The Role As a Data Scientist at our company, you will play a crucial role in unlocking insights from complex datasets to drive business decisions and innovation. You will collaborate with cross-functional teams to understand business needs, design statistical models, and develop machine learning solutions. Your expertise in mathematical and statistical analysis will be instrumental in extracting actionable insights and creating predictive models. This role offers an exciting opportunity to apply your analytical skills to solve real-world problems and contribute to the growth and success of our organization. Essential Duties and Responsibilities Research and devise innovative statistical models for data analysis and machine learning applications. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Clean, preprocess, and analyze large datasets to uncover patterns, trends, and insights. Develop and implement predictive models using advanced statistical techniques such as regression analysis, time series analysis, and classification algorithms. Evaluate model performance and iterate on models to improve accuracy and effectiveness. Communicate findings and recommendations to non-technical stakeholders through visualizations, presentations, and reports. Work in an Agile environment, collaborating with cross-functional teams to deliver data-driven solutions. Utilize version control systems like Git to manage codebase and collaborate with team members effectively. Continuously learn and stay updated on emerging trends and technologies in data science and machine learning. Qualifications and Skills Master's degree preferred or equivalent experience in a quantitative field such as Computer Science, Statistics, Mathematics, or related field. 0-6 years of experience in data science, analytics, or related field. Strong mathematical and statistical expertise with a deep understanding of statistical tests, distributions, and regression analysis. Proficiency in Python for data manipulation, analysis, and modeling. Familiarity with version control systems, particularly Git. Experience working in an Agile environment is a plus. Excellent problem-solving skills and ability to think analytically. Strong communication skills with the ability to effectively convey technical concepts to non-technical stakeholders. Self-motivated with a passion for learning and staying updated on industry trends and best practices. Physical Requirements Flexible to work additional hours as needed to meet project deadlines. Ability to sit and work at a computer for extended periods. Occasional lifting of equipment or materials may be required but not exceeding 20 pounds. Ability to communicate effectively in person, over the phone, and through digital channels.

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide insights that make MeetCute a better place to find a date. The main technologies you'll be working with are Python and MySQL. Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about user experience Effective at turning open-ended projects into concrete deliverables It's also good if you have: Math or CS degree Familiarity with IPython notebook (or Jupyter), pandas, Hadoop How does a MeetCute data scientist #hackdating? First, and most importantly, is the design and analysis of experiments. We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer questions about how the site currently functions, to inform and guide future product decisions that we make. These questions tend to be open-ended, so the ability to go from a vague question to a concrete answer is essential. How can you join our team? Send us your resume and tell us why you're excited to join us

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skills * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Qualifications Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skills * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Our client operates at the crossroads of energy and home services, fueled by the vision of a smarter, cleaner future. Committed to developing groundbreaking solutions, they aim to streamline their customers' lives by providing energy, protection, and smart services for their homes and businesses. Our client is seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. Required Qualifications Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). Ability to take models from concept to production in collaboration with engineering partners. Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). Excellent communication and storytelling skills for complex, data-driven topics. Preferred Qualifications Experience with energy forecasting, thermal modeling, or Demand Response optimization. Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. Familiarity with LLM or generative AI applications in analytics and optimization. Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Revolutionizing the dental industry is hard…and we need help. We're on the hunt for experienced senior data scientists who can tackle some of our most significant challenges within our manufacturing operations and supply chain. Our Operations team plays a pivotal role in Dandy's dental operations, overseeing critical areas like production management, workforce analytics and supply chain optimization. In this dynamic, cross-functional role, you'll have the freedom to independently harness data to drive recommendations that propel Dandy to become the top dental lab in the industry. Your responsibilities/opportunities Build production management and prescriptive analytics systems to help the manufacturing team execute and scale Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams Define the data language (i.e. KPIs, dashboards, measurement, etc) to ensure your team grasps the underlying truth that drives progress and success Facilitate rapid decision making through ad hoc work or by democratizing data/self service (effective BI or user-friendly explores in Looker in partnership with our data engineers) Utilize your data super powers to reduce ambiguity and solve problems Mentor other analysts and help them grow About you: 6+ years of experience working in data analytics or data science, ideally in a B2B operations setting BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills Excellent SQL skills Strong scripting Python skills Previous experience using data to drive impact in manufacturing or operations environments Familiarity with operations research and supply chain management concepts Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead Strong senses of autonomy and ownership Strong critical thinking, problem solving, and statistical skills Bonus points: Have experience turning vague operational problems and turning them into statistically rigorous analyses & solutions (i.e causal inference, predictive modeling) Interest in working and learning in an earlier stage company where we're still working out some of the basics Bias for action and desire to work in a fast-paced, collaborative environment Strong customer empathy, particularly for dentists Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster) Req ID: J-706 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly 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:** $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:** 02/15/2026 *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 _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 (***************************************************************************************************************************

Job Description This role focuses on backend development and integrations for building and maintaining enterprise data warehouses and data lakes. The ideal candidate will possess a deep understanding of data architecture, ETL pipelines, and integration technologies, ensuring seamless data flow and accessibility across the organization. Key Responsibilities: · Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives. · Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories. · Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms. · Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions. · Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks. · Monitor and troubleshoot data pipelines and systems to ensure high availability and performance. · Stay up-to-date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations. · Document technical designs, processes, and standards for the team and stakeholders. Qualifications: · Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience considered. · Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role. · Strong proficiency in programming languages such as Python, Java, or Scala. · Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica, etc.). · Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL, PostgreSQL, MongoDB). · Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake). · Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services. · Experience with API integrations and data exchange protocols (e.g., REST, SOAP, JSON, XML). · Solid understanding of data governance, security, and compliance standards. · Strong analytical and problem-solving skills with attention to detail. · Excellent communication and collaboration abilities. Preferred Qualifications: · Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.) · Experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka). · Knowledge of data visualization tools (e.g., Tableau, Power BI) for supporting downstream analytics. · Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins). Please note: Relocation assistance will not be available for this position.

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

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Qualifications Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skills * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Additional Information All your information will be kept confidential according to EEO guidelines.

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

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

**_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 (***************************************************************************************************************************