Data scientist jobs in Norman, OK - 59 jobs

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

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Lead Data Scientist is a hands-on analytics leader responsible for advancing marketing and customer analytics across Love's convenience store network. This role blends deep technical expertise with people leadership, owning high-impact analytical initiatives that influence revenue growth, customer experience, and marketing effectiveness. Job Functions: Develop deep understanding of Love's business, including products, strategy, customers, and performance, and guide your team in aligning analytics initiatives with business priorities Collaborate with Marketing and other business units to understand needs and design analytical approaches, then lead your team in implementing advanced analytics and machine learning solutions for key domains such as marketing and operations to deliver actionable insights Contribute to the development of enterprise-wide analytics strategy and roadmap, representing the team's perspective Utilize statistical programming languages (R, Python, SAS) to manipulate data and extract insights from large datasets, ensuring team members follow best practices Apply advanced statistical techniques (e.g., A/B testing) and machine learning methods (e.g., time series forecasting, clustering) to solve business problems Supervise and develop a team of data scientists, analysts, and/or analytics engineers by setting goals, managing performance, providing feedback, and fostering a collaborative, high-performing environment Promote best practices in data science methodologies, modeling, experimentation, documentation, and model governance across the team Prioritize team workload and manage delivery timelines in alignment with strategic objectives Identify gaps in measurement and data solutions and lead efforts to recommend and implement improvements that maximize analytics impact Communicate complex insights clearly to stakeholders through presentations, reports, and visualizations, coaching team members on effective storytelling Partner with data engineering to ensure scalable and robust data infrastructure that supports team objectives Stay current with industry trends and emerging tools, introducing innovative techniques into the team's practice Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 6+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: 6+ years of experience querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations. Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value. ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at ****************** Job Description ProSidian Seeks a Data Scientist/Statistician (Level 2) - Aerospace Medical Research (AMR10) headquartered near CONUS - Oklahoma City, OK to support requirements for Aerospace and Defense Sector Clients. This CONUS - Oklahoma City, OK | Data Scientist/Statistician (Level 2) - Aerospace Medical Research (AMR10) Contract Contingent position currently best aligns with the Data Scientist/Statistician (Level 2) Labor Category. Ideal candidates exhibit the ability to visualize, analyze, and convert data and experiences to meet performance challenges while confidently engaging in productive “Jugaad” and dialogue targeting mission success. ProSidian Team Members work to provide Gov't. - Federal (USA) Sector related Human Capital Solutions for Aerospace Medical Research and Technical Support Services on behalf of The Civil Aerospace Medical Institute (CAMI). Data Scientist/Statistician (Level 2) - Aerospace Medical Research (AMR10) Candidates shall work to support requirements for (Aerospace Medical Research Services) and shall work as part of a team in support of Aerospace Medical Research efforts. The candidate will complete tasks and activities contributing to deliverables and core mission functions in the Aerospace Medical Research space. Must perform work as required, with typical tasks such as: - Perform analysis of genetic datasets for the Functional Genomics team. This includes command-line operations in a Linux or Unix operating system (e.g., Red Hat Linux or Scientific Linux). - Run processes in parallel across multiple computer nodes on multi-core computer systems when appropriate for analyses. - Identify appropriate computational and statistical analyses required to complete -bioinformatics objectives for processing data, including processing genetics data (e.g., sequence files) and running statistical analyses on phenotypic datasets. - Use packages and software such as R/CRAN, Python, and AI/machine learning approaches. - Review software documentation and perform proper implementation of software. - Ensure appropriate use of software and parameters to meet requirements of the data, including not violating assumptions of statistical analyses. - Use model selection and analytical approaches defensible in peer-reviewed literature. Typical analyses of datasets may include basic processing and QA/QC of sequence or microarray files, mapping genetic sequences to a reference genome/transcriptome and performing differential expression analysis; microarray analysis; analyzing genetic variants or SNPs; analyzing chromatin accessibility; analyzing microbiome datasets; performing functional enrichment analyses; and constructing network/pathway diagrams. - Write scripts and code as necessary to enable high-throughput analyses, including efficient and high-throughput mapping and analysis of next-generation sequence datasets, with sufficient annotation to allow future use of scripts by other team members. - Provide all scripts, codes, and results to the team. - Document analytical methods used, including descriptions of names and versions of software along with features used. - Input information about methods in laboratory notebooks and the electronic journal system of the team. - Write up methods used in paragraph format at a quality and detail level appropriate for inclusion in peer-reviewed publications. - Aid other members of the team with compiling scripts or drafting code. - Install and maintain the computer operating system, packages, patches, and updates as appropriate. - Keep the data, files, and code backed up. - Obtain and maintain Collaborative Institutional Training Initiative (CITI Program) certification in human subjects research including Biomedical (Biomed) coursework, and related certification when necessitated by individual projects. #TechnicalCrossCuttingJobs #AerospaceMedicalResearch #Jugaad #AerospaceMedical Qualifications B.S. in Computer Science, Genetics, or a related field 4 years of relevant experience after college graduation Experience working with a High Performance Computer and running processes in parallel; understand statistics, including descriptive statistics (e.g., means, averages) and more advances statistics (e.g., generalized linear models, model selection approaches). Sufficient knowledge of bioinformatics to select and appropriately use methods for genetics statistical/bioinformatics analyses (including assumptions that must be tested, considerations such as normalization, and understanding of when to transform data). Experience with writing scripts and running commands in a Linux or Unix operating system; advanced experience with R/CRAN for statistical analysis, and advanced experience with Python; advanced experience with bioinformatics analyses of next-generation sequencing data. Adequate verbal/written communication skills to explain their computations to members of the team, and to write paragraph-style descriptions of their methods sufficient for inclusion in peer-reviewed publications. U.S. Citizenship Required - You must be a United States Citizen Excellent oral and written communication skills (This employer participates in the e-Verify program) Proficient with Microsoft Office Products (Microsoft Word, Excel, PowerPoint, Publisher, & Adobe) All ProSidian staff must be determined eligible for a “Facility Access Authorization” (also referred to as an “Employment Authorization”) by the USG's designated Security Office. Other Requirements and Conditions of Employment Apply May be required to complete a Financial Disclosure Statement Must be able to submit to and qualify for varying levels of background investigative requirements, up to a Top Secret or DOE "Q" clearance. #TechnicalCrossCuttingJobs #AerospaceMedicalResearch #Jugaad #AerospaceMedical Additional Information As a condition of employment, all employees are required to fulfill all requirements of the roles for which they are employed; establish, manage, pursue, and fulfill annual goals and objectives with at least three (3) Goals for each of the firms Eight Prosidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and to support all business development and other efforts on behalf of ProSidian Consulting. CORE COMPETENCIES Teamwork - ability to foster teamwork collaboratively as a participant, and effectively as a team leader Leadership - ability to guide and lead colleagues on projects and initiatives Business Acumen - understanding and insight into how organizations perform, including business processes, data, systems, and people Communication - ability to effectively communicate to stakeholders of all levels orally and in writing Motivation - persistent in pursuit of quality and optimal client and company solutions Agility - ability to quickly understand and transition between different projects, concepts, initiatives, or work streams Judgment - exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications Organization - ability to manage projects and activity, and prioritize tasks ----------- ------------ ------------ OTHER REQUIREMENTS Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together Humility - exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference Willingness - to constantly learn, share, and grow and to view the world as their classroom ------------ ------------ ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights: Your good health and well-being are important to ProSidian Consulting. At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. That's why we are also pleased to offer the Employee Benefits Program, designed to promote your health and personal welfare. Our growing list of benefits currently include the following for Full Time Employees: Competitive Compensation: Pay range begins in the competitive ranges with Group Health Benefits, Pre-tax Employee Benefits, and Performance Incentives. For medical and dental benefits, the Company contributes a fixed dollar amount each month towards the plan you elect. Contributions are deducted on a Pre-tax basis. Group Medical Health Insurance Benefits: ProSidian partners with BC/BS, to offer a range of medical plans, including high-deductible health plans or PPOs. ||| Group Dental Health Insurance Benefits: ProSidian dental carriers - Delta, Aetna, Guardian, and MetLife. Group Vision Health Insurance Benefits: ProSidian offers high/low vision plans through 2 carriers: Aetna and VSP. 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement for eligible employees. A range of investment options are available with a personal financial planner to assist you. The Plan is a pre-tax Safe Harbor 401(k) Retirement Savings Plan with a company match. Vacation and Paid Time-Off (PTO) Benefits: Eligible employees use PTO for vacation, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days - 2 weeks/3 days | Holidays - 10 ProSidian and Government Days are given. Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The Corporate Perks Benefit Program. This provides special discounts for eligible employees on products and services you buy on a daily basis. Security Clearance: Due to the nature of our consulting engagements there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials. ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to 5k for all referrals employed for 90 days for candidates submitted through our Referral Program. Performance Incentives: Due to the nature of our consulting engagements there are performance incentives associated with each new client that each employee works to pursue and support. Flexible Spending Account: FSAs help you pay for eligible out-of-pocket health care and dependent day care expenses on a pre-tax basis. You determine your projected expenses for the Plan Year and then elect to set aside a portion of each paycheck into your FSA. Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you have the option to elect supplemental life insurance. D&D covers death or dismemberment from an accident only. Short- and Long-Term Disability Insurance: Disability insurance plans are designed to provide income protection while you recover from a disability. ---------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian Consulting is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor. All your information will be kept confidential according to EEO guidelines. ProSidian Consulting has made a pledge to the Hiring Our Heroes Program of the U.S. Chamber of Commerce Foundation and the “I Hire Military” Initiative of The North Carolina Military Business Center (NCMBC) for the State of North Carolina. All applicants are encouraged to apply regardless of Veteran Status. Furthermore, we believe in "HONOR ABOVE ALL" - be successful while doing things the right way. The pride comes out of the challenge; the reward is excellence in the work. FOR EASY APPLICATION USE OUR CAREER SITE LOCATED ON ************************* OR SEND YOUR RESUME'S, BIOS, AND SALARY EXPECTATION / RATES TO ***********************. ONLY CANDIDATES WITH REQUIRED CRITERIA ARE CONSIDERED. Be sure to place the job reference code in the subject line of your email. Be sure to include your name, address, telephone number, total compensation package, employment history, and educational credentials.

Job Posting Title Sr. Data Scientist Agency 090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV Supervisory Organization CIO Job Posting End Date Refer to the date listed at the top of this posting, if available. Continuous if date is blank. Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above. Estimated Appointment End Date (Continuous if Blank) Full/Part-Time Full time Job Type Regular Compensation Job Description As a Sr. Data Scientist with OMES you will enjoy: * Generous leave including 15 days of vacation, 15 days of sick leave and 11 paid holidays annually. * A comprehensive Benefit Package with a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents. Job Details * Full-time 40-hour work weeks. * Support the Information Services Division. * Salary is based on education and experience. * This is an on-site position located in Oklahoma City, OK. Position Summary The Sr. Data Scientist is a senior technical role responsible for spearheading advanced analytics and artificial intelligence initiatives that inform strategic and operational decision-making across enterprise technology and State agencies. This position serves as a recognized expert in data science, machine learning, analytics, and emerging AI technologies, including Generative AI (GenAI). The role leads complex, high-impact analytics efforts end-to-end-from data acquisition and modeling through insight delivery and operationalization-while partnering closely with business leaders, engineers, and data teams. In addition to deep technical expertise, this position requires strong executive communication skills and the ability to translate complex analytical outcomes into clear, actionable recommendations. Key Responsibilities Advanced Analytics & Artificial Intelligence (AI) Delivery * Lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions that support strategic, operational, and policy decisions. * Translate ambiguous or complex business problems into clear analytical hypotheses, solution architectures, and delivery plans. * Design and implement predictive models, forecasting, anomaly detection, optimization techniques, and performance analytics. * Develop and operationalize Generative AI (GenAI) and LLM-enabled solutions, including retrieval-augmented generation (RAG) workflows where appropriate. * Ensure analytics and AI solutions meet enterprise standards for reliability, scalability, security, and maintainability. Data Management & Engineering * Lead efforts in data collection, preprocessing, validation, and analysis across structured and unstructured data sources. * Partner with data engineering teams to identify valuable data sources and improve or automate data pipelines and ingestion processes. * Ensure data quality, integrity, and usability for analytics and AI applications. * Architect and refine data models that enable consistent, trusted insights across use cases. Technical Leadership * Serve as a subject matter expert in data science, analytics, and AI methodologies. * Establish and uphold standards for: * Model development, validation, and documentation * Code quality, peer review, and version control * Testing, deployment, and lifecycle management * Responsible and ethical use of AI * Conduct complex programming tasks that synthesize analytical outputs into actionable business insights. Portfolio & Operations Excellence * Partner with senior leaders, program managers, engineers, and operational teams to align analytics initiatives with organizational objectives. * Define and maintain enterprise-relevant metrics, KPIs, and operational health indicators aligned with organizational strategy. * Develop reports, dashboards, and visualizations using platform-agnostic approaches to ensure accessibility and clarity. * Present insights in a manner that is understandable and impactful for both technical and non-technical audiences. * Other duties as assigned. Physical Demands and Work Environment This position works in a comfortable office setting with a computer for a large percentage of the workday. The noise level in the work environment is usually mild. Occasional travel may be required. Minimum Qualifications Requirements include a bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, and seven or more years of progressively responsible experience delivering data science, analytics, or AI solutions. Preference will be given to candidates who possess * Master's degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. * Experience with Generative AI, LLMs, prompt engineering, embeddings, and RAG architectures. * Experience with cloud platforms (AWS, Azure, and/or Google Cloud). * Experience with modern data architectures and analytics platforms. * Knowledge of data governance, privacy, security, and responsible AI practices. * Experience working in public-sector or large enterprise environments. * Familiarity with Agile or iterative delivery methodologies. About OMES The Office of Management and Enterprise Services provides excellent service, expert guidance and continuous improvement in support of our partners' goals. We are a highly qualified workforce committed to serve those who serve Oklahomans and make government run in the most efficient, innovative manner possible. OMES is an Equal Opportunity Employer. Reasonable accommodation to individuals with disabilities may be provided upon request. Equal Opportunity Employment The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability. Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub. If you are needing any extra assistance or have any questions relating to a job you have applied for, please click the link below and find the agency for which you applied for additional information: Agency Contact

Job Posting Title Sr. Data Scientist Agency 090 OFFICE OF MANAGEMENT AND ENTERPRISE SERV Supervisory Organization CIO Job Posting End Date Refer to the date listed at the top of this posting, if available. Continuous if date is blank. Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above. Estimated Appointment End Date (Continuous if Blank) Full/Part-Time Full time Job Type Regular Compensation Job Description As a Sr. Data Scientist with OMES you will enjoy: Generous leave including 15 days of vacation, 15 days of sick leave and 11 paid holidays annually. A comprehensive Benefit Package with a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents. Job Details Full-time 40-hour work weeks. Support the Information Services Division. Salary is based on education and experience. This is an on-site position located in Oklahoma City, OK. Position Summary The Sr. Data Scientist is a senior technical role responsible for spearheading advanced analytics and artificial intelligence initiatives that inform strategic and operational decision-making across enterprise technology and State agencies. This position serves as a recognized expert in data science, machine learning, analytics, and emerging AI technologies, including Generative AI (GenAI). The role leads complex, high-impact analytics efforts end-to-end-from data acquisition and modeling through insight delivery and operationalization-while partnering closely with business leaders, engineers, and data teams. In addition to deep technical expertise, this position requires strong executive communication skills and the ability to translate complex analytical outcomes into clear, actionable recommendations. Key Responsibilities Advanced Analytics & Artificial Intelligence (AI) Delivery Lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions that support strategic, operational, and policy decisions. Translate ambiguous or complex business problems into clear analytical hypotheses, solution architectures, and delivery plans. Design and implement predictive models, forecasting, anomaly detection, optimization techniques, and performance analytics. Develop and operationalize Generative AI (GenAI) and LLM-enabled solutions, including retrieval-augmented generation (RAG) workflows where appropriate. Ensure analytics and AI solutions meet enterprise standards for reliability, scalability, security, and maintainability. Data Management & Engineering Lead efforts in data collection, preprocessing, validation, and analysis across structured and unstructured data sources. Partner with data engineering teams to identify valuable data sources and improve or automate data pipelines and ingestion processes. Ensure data quality, integrity, and usability for analytics and AI applications. Architect and refine data models that enable consistent, trusted insights across use cases. Technical Leadership Serve as a subject matter expert in data science, analytics, and AI methodologies. Establish and uphold standards for: Model development, validation, and documentation Code quality, peer review, and version control Testing, deployment, and lifecycle management Responsible and ethical use of AI Conduct complex programming tasks that synthesize analytical outputs into actionable business insights. Portfolio & Operations Excellence Partner with senior leaders, program managers, engineers, and operational teams to align analytics initiatives with organizational objectives. Define and maintain enterprise-relevant metrics, KPIs, and operational health indicators aligned with organizational strategy. Develop reports, dashboards, and visualizations using platform-agnostic approaches to ensure accessibility and clarity. Present insights in a manner that is understandable and impactful for both technical and non-technical audiences. Other duties as assigned. Physical Demands and Work Environment This position works in a comfortable office setting with a computer for a large percentage of the workday. The noise level in the work environment is usually mild. Occasional travel may be required. Minimum Qualifications Requirements include a bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, and seven or more years of progressively responsible experience delivering data science, analytics, or AI solutions. Preference will be given to candidates who possess Master's degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. Experience with Generative AI, LLMs, prompt engineering, embeddings, and RAG architectures. Experience with cloud platforms (AWS, Azure, and/or Google Cloud). Experience with modern data architectures and analytics platforms. Knowledge of data governance, privacy, security, and responsible AI practices. Experience working in public-sector or large enterprise environments. Familiarity with Agile or iterative delivery methodologies. About OMES The Office of Management and Enterprise Services provides excellent service, expert guidance and continuous improvement in support of our partners' goals. We are a highly qualified workforce committed to serve those who serve Oklahomans and make government run in the most efficient, innovative manner possible. OMES is an Equal Opportunity Employer. Reasonable accommodation to individuals with disabilities may be provided upon request. Equal Opportunity Employment The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability. Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub. If you are needing any extra assistance or have any questions relating to a job you have applied for, please click the link below and find the agency for which you applied for additional information: Agency Contact

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * * Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Data Scientist will support the Love's business through a variety of analytical and statistical projects focused on marketing and customer analytics, including supporting strategic decision making and measurement of key marketing initiatives. Job Functions: * Learn the Love's business. Develop deep fluency in the composition, roles, and contributions of Love's products, strategy, and customers, as well as Love's business performance * Work with multiple data platforms to perform ad hoc reporting, database mining, and analysis that provide a better understanding of the customer * Partner with Marketing and other business units to gather requirements and deliver actionable insights * Incorporate advanced statistical techniques and machine learning concepts (time series forecasting, clustering, neural network) to solve business problems * Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets * Develop processes and tools to monitor and analyze model performance and data accuracy * Utilize predictive modeling to increase and optimize customer experience, store features, revenue, and other business outcomes * Apply A/B testing framework and test model quality * Analyze customer-level data to measure advertising effectiveness and optimize campaigns * Create presentations and deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allow for business understanding and action * Support any existing and future reporting or analytical needs * Coordinate with outside data and analytics vendors * Other duties assigned as needed Experience and Qualifications: * BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. * 1-2+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics * In-depth, hands-on knowledge of data science tools preferred * Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: * Proficiency querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings * Competency using R, Python, or other similar statistical software to develop analytical solutions * Experience with data wrangling, data cleaning and prep * Proven ability to juggle multiple workstreams as needed * Data modelling and business analytics experience especially within the retail or marketing domain * Excel proficiency including simple formulas and pivot tables * Understanding of data warehouse principles and database structures * Data visualization skills and ability to present technical solutions to non-technical audience * 1+ years of experience with mentoring or leading analytical projects * Natural curiosity that welcomes and embraces change and willingness to try new things * Excellent written, oral and interpersonal skills * Ability to devise an analytical approach to solving business problems * Capacity to explain and simplify complex analytics for a wide range of audiences * Work effectively within a team-oriented and collaborative environment * Keen attention to detail * Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate Nearest Major Market: Oklahoma City Nearest Secondary Market: Oklahoma Job Segment: Database, Scientific, Testing, Data Warehouse, Outside Sales, Engineering, Technology, Sales

This part-time Mathematician supports the agency by conducting advanced statistical, computational, and bioinformatics analyses to support research and operational objectives. The role involves selecting appropriate analytical methods, developing and documenting well-annotated code and scripts, and producing methodological write-ups suitable for peer-reviewed publications. The Mathematician ensures proper use of analytical software, maintains thorough documentation and data backups, and provides analytical support to other CAMI team members as requested. This position is onsite in the Oklahoma City area. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act. ESSENTIAL REQUIREMENTS Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property. ESSENTIAL DUTIES AND RESPONSIBILITIES Essential duties and responsibilities include the following. Other duties may be assigned. Performs analysis of datasets required to meet research and operational needs of the Numerical Sciences team using model selection and analytical approaches defensible in peer-reviewed literature. Identifies appropriate computational and statistical analyses required to complete bioinformatics objectives for processing data, including review of software documentation of any software used and responsibility for ensuring appropriate use of software and parameters to meet requirements of the data, including not violating assumptions of statistical analyses. Writes scripts and code as necessary to enable analyses, including sufficient annotation within (e.g., via use of # or comment lines) to allow future use by other team members. Provides all scripts, codes, and results to the Numerical Sciences team. Documents analytical methods used, including descriptions of names and versions of software along with features used. Writes up methods used in paragraph format at a quality and detail level appropriate for inclusion in peer-reviewed publications. Aids other members of the CAMI with this task upon request. EDUCATION/EXPERIENCE Ph.D. in Mathematics, Statistics or closely related field (degree must be from an accredited university) and at least ten (10) years of research experience working with medical or biological data sets beyond attainment of the degree. PHYSICAL DEMANDS Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers printers and light traffic. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. EOE including Disability/Vet *Please note, that this position is contingent upon the award or funding. The essential duties, experience, education requirements, and salary are subject to change. * Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).

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 (***************************************************************************************************************************

This part-time Mathematician supports the agency by conducting advanced statistical, computational, and bioinformatics analyses to support research and operational objectives. The role involves selecting appropriate analytical methods, developing and documenting well-annotated code and scripts, and producing methodological write-ups suitable for peer-reviewed publications. The Mathematician ensures proper use of analytical software, maintains thorough documentation and data backups, and provides analytical support to other CAMI team members as requested. This position is onsite in the Oklahoma City area. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act. ESSENTIAL REQUIREMENTS Must be able to obtain and maintain the required customer clearance for access to systems, facilities, equipment and property. ESSENTIAL DUTIES AND RESPONSIBILITIES Essential duties and responsibilities include the following. Other duties may be assigned. * Performs analysis of datasets required to meet research and operational needs of the Numerical Sciences team using model selection and analytical approaches defensible in peer-reviewed literature. * Identifies appropriate computational and statistical analyses required to complete bioinformatics objectives for processing data, including review of software documentation of any software used and responsibility for ensuring appropriate use of software and parameters to meet requirements of the data, including not violating assumptions of statistical analyses. * Writes scripts and code as necessary to enable analyses, including sufficient annotation within (e.g., via use of # or comment lines) to allow future use by other team members. * Provides all scripts, codes, and results to the Numerical Sciences team. * Documents analytical methods used, including descriptions of names and versions of software along with features used. * Writes up methods used in paragraph format at a quality and detail level appropriate for inclusion in peer-reviewed publications. * Aids other members of the CAMI with this task upon request. EDUCATION/EXPERIENCE Ph.D. in Mathematics, Statistics or closely related field (degree must be from an accredited university) and at least ten (10) years of research experience working with medical or biological data sets beyond attainment of the degree. PHYSICAL DEMANDS Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with computers printers and light traffic. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. EOE including Disability/Vet * Please note, that this position is contingent upon the award or funding. The essential duties, experience, education requirements, and salary are subject to change.* Your application submission will be considered for all potential employment opportunities with Chickasaw Nation Industries (CNI).

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Job Title: Data Engineer Reports To: Manager, Data and Development In this role, you will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision making using Snowflake, Matillion, and other tools. You will work closely with IT, business stakeholders, and external partners to design and implement scalable data pipelines, integrate disparate data sources, and ensure high-quality data availability for analysis and reporting. Your work will help drive operational efficiencies and business insights across the organization. Keys to success include strong technical expertise in database design, ELT processes, and cloud data platforms, as well as a keen ability to collaborate across teams, manage multiple projects, and drive innovative data solutions that align with business needs. This is an exciting opportunity to be part of a growing data team, driving data-driven decision-making and operational efficiencies. If you have a passion for data engineering and innovation, we encourage you to apply! Essential Duties and Responsibilities: Design, develop, and maintain data pipelines for extracting, transforming, and loading (ETL/ELT) data from multiple sources into a Snowflake data warehouse using Matillion Data Productivity Cloud. Optimize database performance and ensure efficient data storage, indexing, and retrieval. Collaborate with business units to understand data requirements and implement solutions that support analytics and reporting initiatives. Ensure data integrity, quality, and security through best practices in data governance and management. Support the implementation of data models that enable effective business intelligence and reporting. Develop and maintain documentation for data processes and pipelines. Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy of data workflows. Stay current with emerging data technologies and recommend best-fit solutions for evolving business needs. Support integration efforts between structured and unstructured data sources. Develop scripts, programs, and queries with Python, SQL, and PowerShell. Other duties as assigned. Education and Experience: Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or a related field. 3-5 years of hands-on experience in data engineering, data warehousing, or ELT development. Experience with Snowflake as a data warehouse solution. Experience with Matillion as an ELT platform. Experience with Microsoft SQL Server, including writing complex SQL queries and optimizing query performance. Familiarity with data modeling techniques and best practices. Knowledge of scripting languages such as Python or PowerShell for automation and data transformation tasks. Experience acquiring data from REST and Graph APIs. Familiarity and use of LLMs in Snowflake Cortex to create AI-powered insights or drive business decisions is desirable. Knowledge of Azure cloud architecture, storage, IAM, and best practices are highly desirable. Skills and Qualifications: Strong understanding of relational databases, data warehousing, and ELT principles. Hands-on experience with SQL, stored procedures, and query optimization. Familiarity with business intelligence tools such as Power BI or Tableau is a plus but not required. Ability to collaborate across teams and communicate technical concepts effectively. Strong analytical and problem-solving skills. Experience implementing data governance and data quality best practices. Ability to manage multiple projects and work in a fast-paced environment. Strong knowledge of APIs and data streaming is preferred. Experience with Agile methodologies and DevOps practices is desirable. Travel Requirements: Minimal travel is expected, 5% or less, for training or key project initiatives. CFS Brands is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. This position is not eligible for immigration sponsorship.

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The “Canoo Way” Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 (“Important versus less important”), Act 30/30 (“Reduce waste and increase output”), and Live 90/10 (“We have each other's back”). We hire based on “MET” - Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise - DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting - Superset, Looker Git - BitBucket/Gitlab *Kubernetes - Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling - Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: ****************************************** ************************************************************************* If you are a person with a disability needing assistance with the application process, please call ************** or email us at *************************** Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Job Description: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions will be key as you contribute in providing solutions to work related problems. Let's work together to achieve greatness! Responsibilities: * Create new data pipelines leveraging existing data ingestion frameworks, tools * Orchestrate data pipelines using the Azure Data Factory service. * Develop/Enhance data transformations based on the requirements to parse, transform and load data into Enterprise Data Lake, Delta Lake, Enterprise DWH (Synapse Analytics) * Perform Unit Testing, coordinate integration testing and UAT Create HLD/DD/runbooks for the data pipelines * Configure compute, DQ Rules, Maintenance Performance tuning/optimization Qualification Basic Qualifications: * Minimum of 3 years of work experience with one or more of the following: Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps, Python Preferred Qualifications: * Azure Function Apps * Azure Logic Apps * Precisely & COSMOS DB * Advanced proficiency in PySpark. * Advanced proficiency in Microsoft Azure Databricks, Azure DevOps, Databricks Delta Live Tables and Azure Data Factory. * Bachelor's or Associate's degree Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location: California - $47.69 - $57.69 Cleveland - $47.69 - $57.69 Colorado - $47.69 - $57.69 District of Columbia - $47.69 - $57.69 Illinois - $47.69 - $57.69 Minnesota - $47.69 - $57.69 Maryland - $47.69 - $57.69 Massachusetts - $47.69 - $57.69 New York/New Jersey - $47.69 - $57.69 Washington - $47.69 - $57.69 Locations

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Data Scientist will support the Love's business through a variety of analytical and statistical projects focused on marketing and customer analytics, including supporting strategic decision making and measurement of key marketing initiatives. Job Functions: Learn the Love's business. Develop deep fluency in the composition, roles, and contributions of Love's products, strategy, and customers, as well as Love's business performance Work with multiple data platforms to perform ad hoc reporting, database mining, and analysis that provide a better understanding of the customer Partner with Marketing and other business units to gather requirements and deliver actionable insights Incorporate advanced statistical techniques and machine learning concepts (time series forecasting, clustering, neural network) to solve business problems Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets Develop processes and tools to monitor and analyze model performance and data accuracy Utilize predictive modeling to increase and optimize customer experience, store features, revenue, and other business outcomes Apply A/B testing framework and test model quality Analyze customer-level data to measure advertising effectiveness and optimize campaigns Create presentations and deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allow for business understanding and action Support any existing and future reporting or analytical needs Coordinate with outside data and analytics vendors Other duties assigned as needed Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 1-2+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: Proficiency querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate

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