Data science internship jobs in Mississippi - 62 jobs

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Nuclear Sciences Division, part of the Energy and Environment Directorate, delivers science and technology innovations for the environment, energy, and national security. At a time when complex challenges are emerging on many fronts, we address some of the most challenging national and international nuclear issues. This includes providing technological solutions that protect the public health and safety around nuclear facilities, developing durable new materials for extreme nuclear environments, innovating new nuclear processes for the safety and security of the nation, and delivering new approaches for accelerating environmental cleanup of nuclear sites. The division's capabilities and efforts are focused on environmental management of nuclear sites, nuclear regulatory processes, national nuclear security, and advancing nuclear energy **Responsibilities** Are you interested in making the world a better place while gaining valuable research experience to launch your career? Pacific Northwest National Laboratory (PNNL) is seeking PhD students passionate about creating a sustainable energy future through science and engineering to join us for a 10 week paid summer internship as part of the Energy and Environment Internship Program (EEIP). Participants will begin in cohort sessions and must be available to start on **May 26, 2026 or June 16, 2026** as part of the **Summer 2026 cohort** . Within PNNL's Nuclear Sciences Division, our scientists and engineers tackle some of the nation's most complex challenges: advancing energy independence, remediating legacy nuclear waste, and strengthening national security. Our work blends experimentation, modeling, and engineering of nuclear materials and processes to deliver innovative solutions for the U.S. government and industry. If your background or interests align with **chemistry, materials science, nuclear engineering, chemical engineering, mechanical engineering, or computer science** , this internship places you at the center of high-impact research. Research Focus Areas Interns will contribute to projects within one of the following areas: + **Experimental and Computational Engineering** Multiphase fluid dynamics, heat transport, structural and safety analysis, nuclear radiation modeling, reactive transport, and nuclear material storage and transportation + **Irradiation Sciences** Irradiated materials characterization, dosimetry, and radiation effects + **Nuclear Chemistry and Engineering** Radiochemical process engineering, separations, and conversion technologies + **Radiological Materials** Waste-form development, vitrification and immobilization, glass and materials science, cementitious materials, process development, and off-gas capture and immobilization + **Reactor Materials and Mechanical Design** Stress corrosion cracking, post-irradiation and non-destructive examination, advanced materials characterization, computational materials science and data analytics, and electro-mechanical hardware design **The Internship Experience** PNNL interns are fully integrated into research teams and supported through The Gold Experience, a summer-long program that includes professional development, networking with scientists and engineers across the lab, and exposure to the full breadth of PNNL's research mission. This internship is designed to accelerate your growth as a researcher and help you envision long-term career paths in national laboratory science. Many students return for multiple summers, and a number successfully transition into full-time roles at PNNL after graduation. **Why Apply?** + Gain hands-on research experience in a national laboratory setting. + Collaborate with top scientists and engineers in cutting-edge research fields. + Build professional connections that can support future career opportunities. Positions are based in Richland, WA. Work is primarily on-site, with remote arrangements considered only in rare circumstances and strictly based on business need. If you're motivated to apply your skills to real-world problems and gain hands-on research experience that can shape your career, we encourage you to apply. ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload **Resume or CV** in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a **Cover Letter** separately in "Additional Documents" section of the application titled "Nuclear Sciences EEIP Cover Letter". + Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. **If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date.** **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Disciplines of interest: additive manufacturing, chemical engineering, chemistry, computational modeling, computer science, material science, mechanical engineering, nuclear engineering, software engineering, and systems engineering. **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Southern Farm Bureau Life Insurance is looking for a Data Analytics intern to join our team for the summer. The qualifications are: Completion of first year of Master's or PhD program in Biostatistics/Data Science Aptitude for building and implementing predictive models in a highly documented, well presented fashion Exposure to development language environments: e.g. Python, Java, Power BI, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages Preference for working in a collaborative environment Ability to present data analysis summary results to team members and leadership Attention to detail, willingness to ask questions, ability to follow up Initiative, enthusiasm to learn You will gain valuable work experience and participate in: Projects that contribute to the success of our business, such as analysis of medical and accelerated underwriting practices, customer and agent behavior, fraud analytics, etc. Community service activities Networking opportunities Interaction with Company leadership At Southern Farm Bureau Life Insurance Company, our Mission is to be the life insurance company of choice for our Farm Bureau family. Our focus is to provide competitive products and superior customer service to our Farm Bureau policyholders and agents, while observing the highest ethical standards. Southern Farm Bureau Life Insurance Company continues to build on over 75 years of success with an outlined strategic vision, defined core values and above all, our employees. Our Company strives to provide a workplace with an outstanding culture, focusing on the development, growth and engagement of its employees. We are looking for candidates who model our Company's Core Values that are: COMMITMENT TO SERVICE - recognizes that serving our agents, policyholders, and employees is the foundation of our success RESPECT FOR PEOPLE- values individual's unique talents, backgrounds, and experiences INTEGRITY- upholds the highest ethical standards in all of their actions ACCOUNTABILITY FOR RESULTS -commits to getting the job done by taking ownership of their work COMMITMENT TO TEAMWORK - understands, appreciates, and respects each individual's roles on their teams COURAGE TO ACT- acts in the best interest of the Company

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

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? Job Title: Data Scientist Role Band: BAND VII Location: Bangalore Reporting to: Senior Manager - Analytics 1.PURPOSE OF ROLE The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically validate features and models. The analyst will collaborate across teams, work efficiently with existing codebases, and apply version control and development best practices to build scalable, production-ready analytics solutions. With intermediate SQL expertise and a solid grasp of model development workflows, the role ensures robust, interpretable, and actionable outcomes from complex data. 2.KEY TASKS AND ACCOUNTABILITIES * Develop and maintain data science models using Python, applying intermediate to advanced knowledge of syntax, data structures, and key libraries such as pandas and NumPy. * Perform feature engineering and statistical validation of features and models to ensure robustness, accuracy, and business relevance. * Write clean, modular, and well-documented code following best development practices; optionally adopt Test-Driven Development (TDD) to enable faster iteration and feedback cycles. * Collaborate with cross-functional teams to understand data requirements, align on analytical solutions, and translate business problems into data science problems. * Read, understand, and extend existing codebases, adapting quickly to different coding styles and project structures. * Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models. * Write and optimize intermediate-level SQL queries to extract, transform, and analyze data from structured databases. * Contribute to the deployment readiness of models, ensuring outputs are interpretable, reusable, and aligned with production or decision-support use cases. * Document processes, assumptions, and outputs clearly for stakeholder transparency, reproducibility, and future reference. * Stay up to date with industry trends, new tools, and emerging best practices in data science, analytics, and development methodologies. 3. QUALIFICATIONS * Bachelor's or master's degree in computer science, Information Systems, Artificial Intelligence, Machine Learning, or a related field (B. Tech / BE / Masters in CS/IS/AI/ML). 4.Work Experience: * Minimum of 3 years of hands-on experience in a data science or analytics role, with a proven track record of building and deploying data-driven solutions in real-world scenarios. 5.Technical Skills Required: * Python Programming (Intermediate to Advanced): Strong grasp of syntax, data structures, and experience with libraries like pandas and NumPy. * Data Science Fundamentals: Ability to statistically validate features and models, ensuring sound analytical rigor. * SQL (Intermediate): Proficiency in writing queries to extract, manipulate, and analyze data from relational databases. * Version Control (GIT): Familiarity with collaborative development using Git for code versioning and management. * Code Adaptability: Comfortable working with and modifying existing codebases written by others. 6. Good to have skills: * Object-Oriented Programming (OOPs) in Python: Understanding and applying OOP concepts where appropriate. * Test-Driven Development (TDD): Awareness of TDD practices for faster iteration and improved code quality. * Model Deployment Lifecycle Knowledge: Familiarity with reproducibility, tracking, and maintaining deployed models (though not explicitly required, it's a plus if known).

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started! PACCAR ENGINE COMPANY PACCAR Engine Company in Columbus, Mississippi produces the best-in-class, state-of-the-art MX engines that power Kenworth, Peterbilt, and DAF trucks. PACCAR MX engines bring a new level of innovation through quality, exceptional reliability, and proven performance. In more than 50 years, PACCAR has delivered over one million engines globally, providing innovative solutions and an unwavering commitment to superior performance. Join our best-in-class team today through the following opportunity: Job Description: Data Analyst Intern The Data Analyst Intern is responsible for analyzing manufacturing and operational data to uncover trends, support decision-making, and drive process improvements. This intern develops dashboards and visualizations using tools like Tableau or Power BI, performs ad-hoc analyses, and helps standardize data methods across the facility. By transforming raw data into actionable insights, the Data Analyst Intern enables plant management and engineering teams to optimize engine production and quality. Skills / Competencies * Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau). * Basic knowledge of SQL and data querying. * Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data insights effectively. * Detail-oriented with strong organizational skills. * Ability to work collaboratively in a team environment. * Basic knowledge of data warehousing concepts and cloud platforms (e.g. AWS) is a plus but not required. * Basic knowledge of manufacturing systems is a plus but not required. Job Functions / Responsibilities * Analyze manufacturing and operational data to identify trends and improvement opportunities. * Prepare reports and dashboards for plant management and business unit teams. * Assist in data collection, cleaning, and validation processes. * Develop cross-functional training plans for the business to adopt business intelligence tooling. * Support ongoing projects by providing actionable data insights. * Document findings and present recommendations to stakeholders. * Participate in meetings and contribute to process improvement discussions. Education * Currently pursuing an undergraduate or graduate degree in Data Science, Computer Science, Statistics, Business Analytics, Management Information Systems, AL/ML, or a related field. * Coursework or experience in data analysis, statistics, and visualization preferred. As a U.S. PACCAR intern, you have a full range of benefit options including: * Competitive salary and 401k with up to a 5% company match * Medical, dental, and vision plans for you and your family * Flexible spending accounts (FSA) and health savings account (HSA) * Life and accidental death and dismemberment insurance * EAP services including wellness plans, estate planning, financial counseling and more * Global Fortune 500 company with a wide array of growth, training, and development opportunities * Work alongside experienced goal-oriented colleagues recognized as experts in their field Additional Job Board If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. Nearest Major Market: Columbus Mississippi Job Segment: Data Analyst, Summer Internship, Statistics, Computer Science, Plant Manager, Data, Entry Level, Technology, Manufacturing

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. **_The pay range for this position is $47.05/hour (entry level qualifications) - $72.93/hour (highly experienced). The specific rate will depend upon the successful candidate's specific qualifications and prior experience._** **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.

This is a general requisition to gather talented Data Scientists/Analyst candidates for our talent pool as we grow our team. To Join our team on the bleeding-edge of technology and help optimize the future in a meaningful way, please post your resume into this opening. When we have an active opening you will receive an email from this posting to alert you that we are actively seeking candidates. Who are we? Potentia Analytics is a leading provider of AI enabled SAAS Solutions for the healthcare industry helping them turn data into actionable wisdom for data-driven decisions. Our flagship solution, Symphony Provider Scheduling Platform, is used to optimize the scheduling of care providers such as physicians and mid-level practitioners. Our next product, which is quickly becoming our most popular, is BernoulliAI and Command Center, a Patient flow optimization platform with a data visualization component that is changing healthcare as we know it today. Another exciting solution developed in-house is Foresight, a platform to run what-if scenarios providing predictive strategies to assist corporations, government agencies and institutions in policy and decision making. Our products are enabled with Artificial Intelligence, Machine Learning and Game Theory. Learn more by visiting our healthcare websites at ************************** and our policy and decision making site at ************************** Data Scientist/Analyst duties Include, however, are not limited to: ⮚ Clean, aggregate, and organize data from different sources and transfer it to data warehouses ⮚ Manipulate data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions ⮚ Identify trends in data sets ⮚ Design and develop data modeling processes to create algorithms and predictive models and perform custom analysis ⮚ Develop data integration module ⮚ Other data analytics and predictive tasks Qualifications Required: • Excellent critical analysis and practical problem-solving skills • Willingness and ability to learn new skills and stay up-to-date with current software development languages and techniques • Knowledge of web applications and client-server architecture • Knowledge of architectural and design patterns • Ability to effectively communicate goals and needs with team members and clients • Ability to thrive in a fast-paced, deadline-driven environment Preferred Experience in one or more of the following: o C# o Python o JavaScript o TypeScript o jQuery o Angular 4 o Redux o HTML/CSS o ASP.NET MVC and Entity Framework o Django o MySQL and/or MariaDB Page 12 of 15 o PostgreSQL o Docker o Jenkins o Selenium o JIRA o GitHub Minimum Required Education and Experience per type of employment: Part Time Employment - Current Graduate Student in Computer Science Full Time Employment- B.S. degree in Computer Science or closely related areas plus 2 years of experience as a Data Scientist/Analyst or M.S. degree in Computer Science.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. 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* * Perform analyses on products to answer open-ended questions and provide strategic recommendations. * Design and guide experiments/analysis to measure impact and drive product improvements. * Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. *What we look for in you:* * At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. * Experience driving impact for a digital product with an iterative development cycle. * Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). * Experience in data analyses using SQL. * Experience in programming/modeling in Python. * 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 \#LI-Remote *Pay Transparency Notice*: Depending on your work location, the target annual *base *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)). Base salary range shown. Total compensation also includes equity and bonus eligibility and benefits: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Responsibilities Peraton is seeking a motivated Ocean Modeling and/or Data Assimilation Researcher to join our growing team at the Naval Research Laboratory (NRL) at Stennis Space Center. This role supports cutting-edge research focused on improving ocean model capabilities and assimilating new, high-resolution observational data to support the Navy's Earth System Prediction Capability (ESPC) and global forecasting systems. As new instruments deliver unprecedented ocean observations, we need experts to help process, integrate, and innovate-pushing the boundaries of coupled ocean-atmosphere models and real-time ocean prediction. What You'll Do: You'll contribute to one or more advanced research projects, collaborating with a team of scientists and developers. Responsibilities may include: Writing and optimizing Fortran code for Navy Data Assimilation systems Developing code for ensemble-based data assimilation frameworks Designing schema for processing remotely sensed ocean observations Creating and testing algorithms for operational and research-grade ocean models Conducting evaluation and validation of model enhancements Publishing research in peer-reviewed journals and presenting at scientific conferences Qualifications What You'll Need: MS in Oceanography, Mathematics, Physics, or related field (PhD preferred) Proficiency in Fortran, Python, and MATLAB Experience with Linux, shell scripting, VSCode, and High-Performance Computing (HPC) Strong understanding of Numerical Methods, Ocean Modeling, and Data Assimilation Familiarity with U.S. Navy ocean modeling systems Must be eligible to obtain a DoD Secret Clearance Prior experience in a Department of Defense research environment is strongly preferred Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Responsibilities Peraton is seeking a motivated Ocean Modeling and/or Data Assimilation Researcher to join our growing team at the Naval Research Laboratory (NRL) at Stennis Space Center. This role supports cutting-edge research focused on improving ocean model capabilities and assimilating new, high-resolution observational data to support the Navy's Earth System Prediction Capability (ESPC) and global forecasting systems. As new instruments deliver unprecedented ocean observations, we need experts to help process, integrate, and innovate-pushing the boundaries of coupled ocean-atmosphere models and real-time ocean prediction. What You'll Do: You'll contribute to one or more advanced research projects, collaborating with a team of scientists and developers. Responsibilities may include: Writing and optimizing Fortran code for Navy Data Assimilation systems Developing code for ensemble-based data assimilation frameworks Designing schema for processing remotely sensed ocean observations Creating and testing algorithms for operational and research-grade ocean models Conducting evaluation and validation of model enhancements Publishing research in peer-reviewed journals and presenting at scientific conferences Qualifications What You'll Need: MS in Oceanography, Mathematics, Physics, or related field (PhD preferred) Proficiency in Fortran, Python, and MATLAB Experience with Linux, shell scripting, VSCode, and High-Performance Computing (HPC) Strong understanding of Numerical Methods, Ocean Modeling, and Data Assimilation Familiarity with U.S. Navy ocean modeling systems Must be eligible to obtain a DoD Secret Clearance Prior experience in a Department of Defense research environment is strongly preferred Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Description & Requirements Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.) - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #techjobs #Veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,640.00 Maximum Salary $ 234,960.00

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

The Consultant level Data Governance Analyst is responsible for designing, developing, and implementing processes related to metadata management, reference data management and data quality monitoring. This position is expected to have hands-on experience with technology, people and process that are critical for the success of Data Governance program. This position is expected to have an advanced understanding of Data Governance principles and processes. This role will directly report to the Data Governance Manager, performing analysis on a variety of highly complex projects under minimal supervision and typically leading complex initiatives or projects. This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** This Data Governance Analyst - Consultant position will drive a business‑driven, technology-enabled provider and location master data program. Specific responsibilities include: + Set system‑of‑record/source‑of‑truth strategy; + Identify data owners/stewards, define/approve standards & definitions, and drive adherence-especially for provider/location attributes and code sets. + Align clinical, operations, and analytics stakeholders to a shared roadmap and outcomes; + Facilitate conversations and workshop skills to surface pain points, reconcile definitions, and prioritize use cases + Guide MDM platform and operating‑model decisions to deliver sustainable, measurable outcomes. + Leads and performs the analysis, design, implementation, and ongoing management of Data Governance tools + Identifies data governance requirements by directly interacting with business and technical data users + Designs, coordinates and develops processes related to data ingestion, data lineage, data classification and data search + Collaborates with data subject matter experts to capture the definition of business terms and metrics + Manages data quality use cases and delivers satisfactory data quality monitoring solutions to customers + Leads and coordinates with data subject matter experts on the root cause analysis of detected data quality issues + Builds data mapping across systems to allow semantic comparability and interoperability for operational and analytics projects + Defines and applies best terminology management practices in maintaining reference data for various Intermountain clinical, business and analytical applications + Engages and educates business and technical data users across the enterprise for continuous participation and adherence to key data governance and stewardship policies + Ensures that documentation, data quality, and best practices are followed by teams across the data supply chain as key data assets are optimally leveraged and administered through the Data Governance program + Maintains technical knowledge of data management industry best practices, including those specific to healthcare + Assists in the definition and monitoring of program KPIs and metrics + Trains others on skills and competencies required for essential data governance work and assists with project management to drive timely deliverables **Skills** + Data Cataloging + Data Lineage Analysis + Reference Data Management + Data Quality Management + Data Stewardship Operationalization + Data Modeling + Data Architecture + Data Analysis + Software Development + System Integration + Business Glossary Management + Business Intelligence + Effective Communication + Problem Solving + Creative Thinking **Minimum Qualifications:** + Experience in independently managing and accomplishing key Data Governance work such as data cataloging, data classification, data lineage, business glossary management, and data stewardship operationalization + Experience with system and data integration via API + Experience with major Electronic Health Record (EHR) vended solutions and deep understanding of the backend data architecture and data modeling + Experience with modern enterprise data platforms such as Databricks and knowledge about data warehousing, data lakehouse, and ETL processes + Experience with business intelligence tools and metric definition and calculation + Experience with deploying and maintaining cloud-native applications + Must be able to demonstrate good understanding of how the clinical and administrative data are produced, consumed, and transformed + Experience with implementing enterprise data quality framework + Experience in Data Governance committees and the ability to work effectively with business stakeholders across and at all levels within the organization + Strong presentation skills, particularly in the development of compelling and insightful visual support materials + Proficiency in PowerPoint, Excel, Word, etc. and effective verbal, written and interpersonal communication skills **Preferred Qualifications:** + Experience with MDM + Experience with Data Governance + Experience with Collibra + Interact with others by effectively communicating, both orally and in writing + Operate computers and other office equipment requiring the ability to move fingers and hands. + See and read computer monitors and documents + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

Do you want to work in a clean, air-conditioned, heated, state-of-the-art automated manufacturing facility with a great working environment? Feuer powertrain North America: (Robinsonville, MS) We are the US subsidiary of a German-based leading independent producer of crankshafts, "the heart of every engine." In Europe, we produce crankshafts for Mercedes-Benz, BMW, VW, Audi, Renault, Jaguar, Bentley, Rolls-Royce, Aston Martin, Ferrari, Maserati, Lamborghini and many more. In North America, we produce crankshafts for GM, Ford, Mercury and many more. We are now expanding our plant to a new 2nd line. We are hiring immediately. Pay, Benefits, Working Conditions, Training, Advancement: Benefits- We pay 85% of our employees' health, dental and vision insurances and 100% of life insurance and short-term disability. We have a 401k with a 5% match. We provide 2 weeks (80 hours) of PTO available after 30 days of employment. Working Conditions: Clean, air-conditioned, heated, state-of-the-art automated manufacturing environment. A great working environment and place to work. Training- For employees willing to work hard and move up, we offer 7 levels of training and 7 pay levels for advancement. Advancement: We prefer to train and promote from within the company. SUMMARY: A Quality Data Analyst of Qdas analyses data or identify trends and provides management valuable information that they can use to improve the process to meet the product specification according with the standards and customers' requirements. Ther main duties include identifying, gathering, analysis data through easy-to-understand graphs, charts, tables and reports day-to-day. KEY RESPONSIBILITIES: Monitoring the Qdas reports are update for each operation is running daily. Quality data collection and entry, including inspection and audit records. Responsible for creating and updating the Final Stations Pareto's charts with the dimensional and Visual Kick outs. Preparing reports and presenting to management the Special Characteristics process results. Responsible for quality of parts by ensuring that the analysis of data process keep on control meet to the manufacturing process and customer specifications. Supports TTO's and Operators to inform the data out control, trends and effectiveness of corrective actions. Update the information in the Promot screens to show the results about of quality output. Responsible for reviewing quality data for accuracy, completeness, and compliance. Preparing routine quality reports. Responsible for maintaining EOL, scrap and nonconformance records. Responsible for and accountable for product safety and the quality of work, including, as a minimum, all elements defined in the FEUER's Quality Policy. Perform various quality related tasks as required by the Quality Manager. MINIMUM QUALIFICATIONS: High School Diploma with one (1) year experience in quality site or statistical process control. Automotive manufacturing experience a plus. Experience in IATF 16949 and/or ISO 9001 audits. Strong technical background in quality, read quality reports. Proficiency in Microsoft Excel. Quality Management Systems (QMS) experience is preferred. Previous experience in Layered Process Audits (LPA). Experience in nonconformance and scrap record keeping. Previous experience in document control. Experience with CMM, CNC, caliper, Adcole, Optical or measurements equipment. FEUER powertrain North America, Inc. is an Equal Opportunity Employer (EOE). Our employment decisions are made without regard to race, color, religion, sex, marital status, pregnancy, national origin, citizenship, age, physical or mental disability, genetic information, sexual orientation, veteran status, military status, or any other characteristic or status protected by federal, state, or local law. If you need assistance or an accommodation during the application process due to a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial 1. Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. 2. Key tasks & accountabilities * Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to discover trends and patterns * Build predictive models and machine-learning algorithms * Combine models through ensemble modeling * Present information using data visualization techniques * Propose solutions and strategies to business challenges * Collaborate with engineering and product development teams 3. Qualifications, Experience, Skills Level of educational attainment required: * BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: * Proven experience as a Data Scientist or Data Analyst * Experience in data mining * Understanding of machine-learning and operations research Technical skills required: * Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) * Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) And above all of this, an undying love for beer! We dream big to create future with more cheers.

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started! PACCAR ENGINE COMPANY PACCAR Engine Company in Columbus, Mississippi produces the best-in-class, state-of-the-art MX engines that power Kenworth, Peterbilt, and DAF trucks. PACCAR MX engines bring a new level of innovation through quality, exceptional reliability, and proven performance. In more than 50 years, PACCAR has delivered over one million engines globally, providing innovative solutions and an unwavering commitment to superior performance. Join our best-in-class team today through the following opportunity: Job Description: Data Analyst Intern The Data Analyst Intern is responsible for analyzing manufacturing and operational data to uncover trends, support decision-making, and drive process improvements. This intern develops dashboards and visualizations using tools like Tableau or Power BI, performs ad-hoc analyses, and helps standardize data methods across the facility. By transforming raw data into actionable insights, the Data Analyst Intern enables plant management and engineering teams to optimize engine production and quality. Skills / Competencies * Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau). * Basic knowledge of SQL and data querying. * Strong quantitative and statistical analysis skills. * Ability to visualize and communicate data insights effectively. * Detail-oriented with strong organizational skills. * Ability to work collaboratively in a team environment. * Basic knowledge of data warehousing concepts and cloud platforms (e.g. AWS) is a plus but not required. * Basic knowledge of manufacturing systems is a plus but not required. Job Functions / Responsibilities * Analyze manufacturing and operational data to identify trends and improvement opportunities. * Prepare reports and dashboards for plant management and business unit teams. * Assist in data collection, cleaning, and validation processes. * Develop cross-functional training plans for the business to adopt business intelligence tooling. * Support ongoing projects by providing actionable data insights. * Document findings and present recommendations to stakeholders. * Participate in meetings and contribute to process improvement discussions. Education * Currently pursuing an undergraduate or graduate degree in Data Science, Computer Science, Statistics, Business Analytics, Management Information Systems, AL/ML, or a related field. * Coursework or experience in data analysis, statistics, and visualization preferred. As a U.S. PACCAR intern, you have a full range of benefit options including: * Competitive salary and 401k with up to a 5% company match * Medical, dental, and vision plans for you and your family * Flexible spending accounts (FSA) and health savings account (HSA) * Life and accidental death and dismemberment insurance * EAP services including wellness plans, estate planning, financial counseling and more * Global Fortune 500 company with a wide array of growth, training, and development opportunities * Work alongside experienced goal-oriented colleagues recognized as experts in their field Additional Job Board If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. Nearest Major Market: Columbus Mississippi Job Segment: Data Analyst, Statistics, Computer Science, Plant Manager, Data Warehouse, Data, Technology, Manufacturing

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking Masters students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing + **Software Engineering & Architectures:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing:** We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering. Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization + **Operational Readiness & Enablement:** We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines. Disciplines: Cloud computing, DevSecOps, software testing, data and AI engineering, project management. Positions are based in Richland or Seattle, WA. Work is primarily on-site, with remote arrangements considered only in rare circumstances and strictly based on business need. ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $20.87/Hr. **Maximum Salary** USD $31.30/Hr.

Description & Requirements Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.) - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #techjobs #Veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,640.00 Maximum Salary $ 234,960.00